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The Best 150 Capstone Project Topic Ideas
10 May 2022
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❔What is a Capstone Project?
Capstone Project Ideas:
- 💾Computer Science
- 🎒High School Education
- 💻Information Technology
- 🎭Psychology
- 🪄Management
- 🪛Engineering
- 💰Accounting
✅Capstone Writing: 10 Steps
The long path of research works ahead, and you can’t find any capstone project ideas that would be interesting and innovative? The task can seem even more challenging for you to feel all the responsibility of this first step. The top 150 capstone ideas presented below aim to make a choice not so effort-consuming.
With the list of the capstone project topics we've picked for you, you'll be covered in major subjects. Continue reading, and you'll get ideas for capstone projects in information technology, nursing, psychology, marketing, management, and more.
What is a Capstone Project?
Educational institutions use the capstone project to evaluate your understanding of the course on various parameters. For the students, the work on the project gives an excellent opportunity to demonstrate their presentation, problem-solving and soft skills. Capstone projects are normally used in the curriculum of colleges and schools. Also called a senior exhibition or a culminating project, these assignments are given to finish the academic course.
This assignment has several different objectives, among which are the following:
- to encourage independent planning,
- to learn to meet up deadlines,
- to practice a detailed analysis,
- to work in teams.
It's not that easy to pick the right capstone paper topic. The problem intensifies as each student or separate teams have to work on a single assignment which has to be unique. The best capstone project ideas may possibly run out. However, whatever topic you opt for, you’d better start your preparation and research on the subject as early as possible.
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Amazing Capstone Project Ideas for Nursing Course
Studying nursing is challenging, as it requires a prominent theoretical foundation and is fully practical at the same time. You should have to do thorough research and provide evidence for your ideas, but what to start with? The preparation for your capstone project in nursing won’t be so overwhelming if you make use of these capstone title ideas:
- Innovation and Improvement in Nursing
- Vaccination Chart Creation
- The Role of Nurses in Today's Society
- Shortage in Nursing and Its Effects on Healthcare
- Evidential Practices and Their Promotion in Nursing
- Global Changes in the Approach to Vaccination
- Top Emergency Practices
- Preventive Interventions for ADHD
- Quality of Nursing and Hospital Personnel Shifts: The Interrelation
- Ways to Prevent Sexually Transmitted Diseases
- Brand New Approaches in Diagnostics in the Nursing Field
- Diabetes Mellitus in Young Adults: Prevention and Treatment
- Healthcare in Ambulances: Methods of Improvement
- Postpartum Depression Therapy
- The Ways to Carry a Healthy Baby
Attractive Computer Science Capstone Project Ideas
Computer science is so rapidly developing that you might easily get lost in the new trends in the sphere. Gaming and internet security, machine learning and computer forensics, artificial intelligence, and database development – you first have to settle down on something. Check the topics for the capstone project examples below to pick one. Decide how deeply you will research the topic and define how wide or narrow the sphere of your investigation will be.
- Cybersecurity: Threats and Elimination Ways
- Data Mining in Commerce: Its Role and Perspectives
- Programming Languages Evolution
- Social Media Usage: How Safe It Is?
- Classification of Images
- Implementation of Artificial Intelligence in Insurance Cost Prediction
- Key Security Concerns of Internet Banking
- SaaS Technologies of the Modern Time
- Evolvement of Mobile Gaming and Mobile Gambling
- The Role of Cloud Computing and IoT in Modern Times
- Chatbots and Their Role in Modern Customer Support
- Computer Learning Hits and Misses
- Digitalization of Education
- Artificial Intelligence in Education: Perspectives
- Software Quality Control: Top Modern Practices
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Several High School Education Capstone Project Ideas for Inspiration
High school education is a transit point in professional education and the most valuable period for personal soft skills development. No wonder that the list of capstone project ideas in high school education involves rather various topics. They may range from local startup analysis and engineer’s career path to bullying problems. It’s up to you to use the chosen statement as the ready capstone project title or just an idea for future development.
- A Small Enterprise Business Plan
- Advantages and Disadvantages of Virtual Learning in Schools
- Space Tourism: The Start and Development
- Pros and Cons of Uniforms and Dress Codes
- What is Cyberbullying and How to Reduce It
- Becoming a Doctor: Find Your Way
- Career in Sports: Pros and Cons
- How to Eliminate the Risks of Peer Pressure
- Ensuring Better Behaviours in Classroom
- Cutting-Edge Technologies: NASA versus SpaceX
- The Reverse Side of Shyness
- Stress in High School and the Ways to Minimize It
- How to Bring Up a Leader
- Outdated Education Practices
- Learning Disabilities: What to Pay Attention to in Children’s Development
Capstone Project Topics in Information Technology – Search for Your Best
Information technology is a separate area developed on the basis of computer science, and it might be challenging to capture the differences between them. If you hesitate about what to start with – use the following topics for capstone project as the starting point for your capstone research topics.
- Types of Databases in Information Systems
- Voice Recognition Technology and Its Benefits
- The Perspectives of Cloud Computing
- Security Issues of VPN Usage
- Censorship in Internet Worldwide
- Problems of Safe and Secure Internet Environment
- The Cryptocurrency Market: What Are the Development Paths?
- Analytics in the Oil and Gas Industry: The Benefits of Big Data Utilization
- Procedures, Strengths and Weaknesses in Data Mining
- Networking Protocols: Safety Evaluation
- Implementation of Smart Systems in Parking
- Workplace Agile Methodology
- Manual Testing vs. Automated Testing
- Programming Algorithms and the Differences Between Them
- Strengths and Weaknesses of Cybersecurity
Psychology Capstone Project Ideas
Society shows increasing attention to mental health. The range of issues that influence human psychology is vast, and the choice may be difficult. You’ll find simple capstone project ideas to settle on in the following list.
- The Impact of Abortion on Mental Health
- Bipolar Disorder and Its Overall Effects on the Life Quality
- How Gender Influences Depression
- Inherited and Environmental Effects on Hyperactive Children
- The Impact of Culture on Psychology
- How Sleep Quality Influences the Work Performance
- Long- and Short-Term Memory: The Comparison
- Studying Schizophrenia
- Terrorist’s Psychology: Comprehension and Treatment
- The Reasons for Suicidal Behaviour
- Aggression in Movies and Games and Its Effects on Teenagers
- Military Psychology: Its Methods and Outcomes
- The Reasons for Criminal Behavior: A Psychology Perspective
- Psychological Assessment of Juvenile Sex Offenders
- Do Colours Affect The Brain?
Stuck with finding the right title?
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Capstone Project Ideas for Management Course
Studying management means dealing with the most varied spheres of life, problem-solving in different business areas, and evaluating risks. The challenge starts when you select the appropriate topic for your capstone project. Let the following list help you come up with your ideas.
- Innovative Approaches in Management in Different Industries
- Analyzing Hotels Customer Service
- Project Manager: Profile Evaluation
- Crisis Management in Small Business Enterprises
- Interrelation Between Corporate Strategies and Their Capital Structures
- How to Develop an Efficient Corporate Strategy
- The Reasons For Under-Representation of Managing Women
- Ways to Create a Powerful Public Relations Strategy
- The Increasing Role of Technology in Management
- Fresh Trends in E-Commerce Management
- Political Campaigns Project Management
- The Risk Management Importance
- Key Principles in the Management of Supply Chains
- Relations with Suppliers in Business Management
- Business Management: Globalization Impact
Capstone Project Ideas for Your Marketing Course
Marketing aims to make the business attractive to the customer and client-oriented. The variety of easy capstone project ideas below gives you the start for your research work.
- How to Maximize Customer Engagement
- Real Businesses Top Content Strategies
- Creation of Brand Awareness in Online Environments
- The Efficiency of Blogs in Traffic Generation
- Marketing Strategies in B2B and B2C
- Marketing and Globalization
- Traditional Marketing and Online Marketing: Distinguishing Features
- How Loyalty Programs Influence Customers
- The Principles of E-Commerce Marketing
- Brand Value Building Strategies
- Personnel Metrics in Marketing
- Social Media as Marketing Tools
- Advertising Campaigns: The Importance of Jingles
- How to Improve Marketing Channels
- Habitual Buying Behaviours of Customers
Best Capstone Engineering Project Ideas
It’s difficult to find a more varied discipline than engineering. If you study it – you already know your specialization and occupational interest, but the list of ideas below can be helpful.
- How to Make a Self-Flying Robot
- How to Make Robotic Arm
- Biomass Fuelled Water Heater
- Geological Data: Transmission and Storage
- Uphill Wheelchairs: The Use and Development
- Types of Pollution Monitoring Systems
- Operation Principles of Solar Panels
- Developing a Playground for Children with Disabilities
- The Car with a Remote-Control
- Self-Driving Cars: Future or Fantasy?
- The Perspectives of Stair-Climbing Wheelchair
- Mechanisms of Motorized Chains
- How to Build a Car Engine
- Electric Vehicles are Environment-Friendly: Myth or Reality?
- The Use of Engineering Advancements in Agriculture
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Capstone Project Ideas for MBA
Here you might read some senior capstone project ideas to help you with your MBA assignment.
- Management Strategies for Developing Countries Businesses
- New App Market Analysis
- Corporate Downsizing and the Following Re-Organization
- How to Make a Business Plan for a Start-Up
- Relationships with Stakeholders
- Small Teams: Culture and Conflict
- Organization Managing Diversity
- What to Pay Attention to in Business Outsourcing
- Business Management and Globalization
- The Most Recent HR Management Principles
- Dealing with Conflicts in Large Companies
- Culturally Differentiated Approaches in Management
- Ethical Principles in Top-Tier Management
- Corporate Strategy Design
- Risk Management and Large Businesses
Capstone Project Ideas for an Accounting Course
Try these ideas for your Capstone Project in Accounting – and get the best result possible.
- How Popular Accounting Theories Developed
- Fixed Assets Accounting System
- Accounting Principles in Information Systems
- Interrelation Between Accounting and Ethical Decision-Making
- Ways to Minimize a Company’s Tax Liabilities
- Tax Evasion and Accounting: Key Principles
- Auditing Firm Accounting Procedures
- A New Accounting Theory Development
- Accounting Software
- Top Three World Recessions
- Accounting Methods in Proprietorship
- Accounting Standards Globally and Locally
- Personal Finance and the Recession Effect
- Company Accounting: Managerial Principles and Functions
- Payroll Management Systems
Capstone Writing: 10 Essential Steps
Be it a senior capstone project of a high school pupil or the one for college, you follow these ten steps. This will ensure you’ll create a powerful capstone paper in the outcome and get the best grade:
- One of the tips to choose a topic that your professors would be interested in is picking a subject in the course of your classes. Make notes during the term and you will definitely encounter an appropriate topic.
- Opt for a precise topic rather than a general one. This concerns especially business subjects.
- Have your capstone project topic approved by your professor.
- Conduct a thorough information search before developing a structure.
- Don’t hesitate to do surveys; they can provide extra points.
- Schedule your time correctly, ensuring a large enough time gap for unpredictable needs.
- Never avoid proofreading – this is the last but not least step before submission.
- Stick up to the topic and logical structure of your work.
- Get prepared to present your project to the audience, learn all the essential points, and stay confident.
- Accept feedback open-mindedly from your teacher as well as your peers.
Preparation of a powerful capstone project involves both selection of an exciting topic and its in-depth examination. If you are interested in the topic, you'll be able to demonstrate to your professor a deep insight into the subject. The lists of ideas above will inspire you and prepare you for the successful completion of your project. Don’t hesitate to try them now!
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125 Best Capstone Project Ideas for Students
Updated 01 Feb 2023
What is the hardest part of writing a top-notch capstone project? You are going to face many pitfalls and difficulties as you are writing this academic paper but the hardest trial is awaiting you at the very beginning. Pushing yourself to start the work is the hardest part, and one of the most responsible steps here is to choose a good topic that will help to show your full potential. Choosing weak topics can lead to failure. Therefore, we have prepared a list of the best capstone project ideas to help you make the right choice! Need help writing a law essay? Hire our law essay writing service and get help from the best.
How To Choose Topic For Capstone Project?
The choice of a topic is a big and responsible step in writing any academic capstone project, so it is important not to make a fatal mistake. If you also feel stuck, we have a few effective tips to help you get started. A capstone project can be a tricky type of paper so you may need to find out how to buy assignments online .
First of all, keep in mind that the right topic will help you write an outstanding capstone paper and get a deserved high grade. Good topic ideas will give you a possibility to demonstrate the skills and knowledge you’ve gained through the course, so you should approach this step carefully. Then you should remember that a good theme should be valuable, relevant, and interesting (most importantly for you). Your theme should be specific. You can choose narrative speech topics on our site. Choosing a too broad one is not a good idea because it also has to be manageable. Finally, your theme should present a REAL problem, and your goal will be to develop solutions for it and support them with strong arguments.
Here are the main steps you should take to choose great topic ideas:
- Brainstorm to generate some interesting ideas or look for some examples online;
- Study relevant literature to see what researches were already conducted on your ideas and what information is available;
- Choose the most engaging idea to narrow your focus;
- Consult with your adviser.
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Ideas Of Capstone Project Topics For Students
If you are just about to start your own capstone project, we suggest you take a look at our list of top high school senior capstone project examples to help you find a good topic ideas example.
You can be interested: The 125 Descriptive Speech Topics : The Easiest Way Writing a Descriptive Essay
Best Capstone Engineering Project Ideas
Mechanical:
- Gear based quick return mechanism
- Motorized chain mechanism
- Remote control car
- A robotic arm controlled with android
- Pedal-powered water purifier
Electrical engineering:
- Development of electric hybrid motorcycle
- Solar panels and their directional control
- Red traffic light detector system
- Use of solar energy in our everyday life
- Advantages and disadvantages of electric energy
Nursing Capstone Project Ideas
- Medical emergencies: a review of the best critical care practices
- Nursing Shortage
- Concept and evidence-based practices for nurse leaders
- Best practices for healthcare workers to deal with critical care patients and emergencies
- Nurse Anesthesia
- The role of nurse practitioner in primary care
- Point-of-care testing
- Patient-focused approach
- Pain management
- Asthma care and education for nurses
If you need help with any of these themes, you can turn to our service.
Information Technology Capstone Project Ideas
- Systems of object recognition
- Effective plans for IT emergency recovery
- Top practices for managing records and documents
- Stock management software systems
- Networking security issues
- All system for business decision-making purpose
- Intelligent systems of voice recognition
- Best practices for software quality assurance
- Challenges in computer security
Computer Science Capstone Project Ideas
- The best programming languages
- Image processing
- Cybersecurity: Designing a safe mobile app
- Designing an automated registration software
- The use of stock prediction with neural networks
- Designing a web-based survey system
- Use of smartphone interface for e-medical record and management systems
- Developing an automated system for market-based analysis
- Detection and classification of bacteria using an image
- The use of game theory for analyzing the algorithmst
MBA Capstone Project Ideas
- Define effective algorithms for determining consumer buying behavior
- Benefits of e-learning for professional certification
- Deep analysis of (choose a company) marketing strategies
- Compare and suggest branding strategies for customer engagement
- Analyze and compare retail product display ratio within the most successful US companies
- Definition of brand management and analysis of the best strategies
- Develop a marketing strategy and execution plan
- Analyze effective content marketing strategies that use social media
- Best practices for total quality administration
- Conduct an analysis of customer engagement for a chose company
Read also: 70 Best Sociology Research Topics
Accounting Capstone Project Ideas
- Efficient accounting systems for fixed assets and equipment
- Development of major accounting theories
- The role of ethical decision making
- Leases related accounting theories
- Accounting for sales and income
- Taxes related accounting theories
- Proprietorship accounting
- Financial stamen applications
- Income-related accounting theories
- Accounting theories for applied management
Management Capstone Project Ideas
- Evaluation of free clinic process
- The role of project management in effective political campaigns
- The practice of ethical thinking in administration
- Modern strategies for rate of return and capital investment
- The importance of conflict administration for big companies
- Development of an effective corporate strategy
- Problem thinking approach in business
- How does capital structure affects corporate strategy?
- Project management in promotion campaigns
- The importance of relationships with suppliers
Education Capstone Project Ideas
- Adapting project-based learning in schools
- Challenges and perspectives of education
- The effectiveness of co-teaching
- Social-emotional learning: strategies and standards
- Smartboard activities for students’ engagement
- Mindfulness practices for elementary students: meaning and strategies
- Challenges in the communication of students and teachers
- Virtual classroom: benefits and ways of adopting it at schools
- Advantages and disadvantages of e-learning
- Academic use of technology and social media in the classrooms
Marketing Capstone Project Ideas
- How does national culture help countries to promote exports?
- Channel development strategies
- Importance of customer relationship administration
- How to increase brand awareness?
- Effective administration techniques for e-commerce store
- The influence of toll-free phones on customers’ response to a promotion
- Modern trends in online marketing
- The effectiveness of online advertising
- How do loyalty programs influence customers?
- Green marketing: definition and major strategies
Hopefully, our list of sample ideas for capstone ideas helped you find inspiration for starting your own capstone project! Keep in mind the tips we gave you for choosing a suitable idea, and you will succeed!
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Best Capstone Project Ideas for Students
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At the end of the semester, schools use the capstone project to determine how well you comprehend the material. Students benefit from this assignment because it demonstrates their problem-solving, presenting, and communication abilities. You are likely to be assigned a capstone project at the end of your high school, college, or middle school career. This is also known as a ‘culminating project.’
Student planning, deadlines, extensive analysis, and teamwork are all aims of this task. The most exemplary capstone project ideas run out quickly because every student or team in the class must come up with a unique theme. It’s best to start brainstorming ideas a few weeks before your teacher announces the assignment. As we’ll see in the next section, it’s critical to do some planning in this case.
How to Choose a Topic for Capstone Project?
In the end, you’ve put in a lot of effort, and now it’s time to select a topic that reflects your academic growth and accomplishments throughout your undergraduate education. When it comes to your capstone course, you may not know precisely what you’re going to study, but your major is a given. Is there a way to narrow your concentration for a semester or more? What is the most appropriate kind of subject matter? To help you choose a capstone project, here are six things to consider :
The first step is to come up with a list of ideas
The majority of your degree requirements will likely have been completed by the time you begin thinking about your capstone project (which should not be confused with the AP Capstone Program). Make time for self-reflection before you start your project’s research. Which subjects or classes piqued your attention the most? There are several subjects you’d like to know more about. Start by making a mental list of everything you’d select to work on or write about and make a note of any first concerns or questions you have that could help guide your project’s course. Organizing your messages can be as simple as following these suggestions.
Secondly, peruse the material
Now that you’ve compiled a comprehensive list of possible subject areas, it’s time to get to work. Check out the most recent studies and articles on these subjects. There isn’t a lot of promising research at the moment. Do you think you could contribute to the debate on any of these subjects? Do not include topics that are too specific or outside the scope of your previous studies and significant.
Focus your attention
This is an excellent time to pick a specific issue or questions that you’d like to investigate further and potentially build on. Write down all you already know about these issues, then think about where an experiment or a paper would be able to address aspects of the topic that haven’t been tested or addressed before. ‘Remember to focus on one thing at a time here. For instance, you can’t just decide to write about the American Revolution and be done. Focus instead on a single topic of the American Revolution. In the following stage, pick a question that most intrigues you.
Make use of the services of your project manager
Consult with your professor before you get started on your research project. If necessary, they can help you refocus your efforts and provide recommendations for further reading and study materials to help you deepen your knowledge of the subject. In addition, having your advisor’s approval helps ensure that you’ve chosen a topic that is both appropriate and fascinating.
Continue reading to find out more.
Your capstone project topic and question should be well-defined at this point, so you can now begin researching this issue. Investigate the past and present of your subject by reading up on relevant literature. Get a refresher on any prerequisite knowledge before getting started on your research or writing . For future reference, keep a record of what you’ve learned from your investigation.
Get down to work
Congratulations! Your experiment or research paper can now begin. Consider hiring a writing coach if you’re concerned about the quality of your work. Be on time, in touch with your mentor, and dedicated to completing this significant part of your education.
To ensure that you choose an intriguing and challenging topic for your capstone project, you should follow these basic steps.
Steps To Choose Great Topic Ideas
A student’s ability to select relevant study subjects is an essential one. In addition to making or breaking a document, it’s vital if you want the entire procedure to function correctly.
While the importance of an excellent paper might make students feel like they’ve got an enormous weight on their shoulders as time passes, there are a few simple measures you can take to make the process easier and even more enjoyable.
With these five simple steps, you’ll be on your way to finding the perfect study topic in no time.
Consider a List of Possible Research Subjects
To figure out which subject is best for you, you need first have a brainstorming session. This is the most straightforward stage. You should look for something you’re passionate about, but you shouldn’t be scared to branch out a bit. Take a look at the headlines to see if anything piques your interest and inspires an original opinion. Make a broad list of options and start narrowing them down.
Choose a Subject
It might sound clear and straightforward, but this step is critical if you want the remainder of the process to be easy. Choosing a topic is the following stage.
Students sometimes mistake being overly detailed when choosing a topic, but narrowing down your options is an iterative process.
Even if the goal is to save time, the time it takes to get to that point will benefit you throughout the rest of the procedure, so don’t rush it.
First, choose a broad applicability topic; the more comprehensive the scope, the better. To write about something as complex as music, go for it! The subsequent phases will help you refine your concept and get closer to completing the final draft.
Get Detailed to the Topic
The next stage is to narrow down your topic to a fine point. In this way, you can decide if your topic has substance and merits your time and attention. It doesn’t matter if this step takes a while or if you change your mind about your issue; the rest will be simple once you get this step-down.
The goal is to obtain a general concept of what you’re interested in and then focus on a specific aspect of that topic. As the last step, you need to focus on that one aspect. For example, if your topic is music, narrow it down to blues music. You may make it even more specific by focusing on rural Mississippi blues’ influence on Chicago blues in the 1950s; this is a great way to make a paper fascinating as well as original.
Ask a Question to Define Your Topic
Once you’ve settled on a topic, the next step is to formulate a question about it that will aid you in writing your paper . “The influence of rural Mississippi Blues on Chicago Blues in the 1950s” should be changed to “How rural Mississippi Blues has inspired mainstream Chicago Blues.”
It’s time to do some research and make an outline
All that is left for you to accomplish now is to conduct thorough research on the specific aspects of your paper and write an outline of what your paper will say. Once you’ve written a two-sentence response to your topic question, you’re all set to begin your essay.
After only five stages, you’ll have your study topic, which was the most challenging aspect of the process. All that’s left is for you to pen it.
Please make a list of what you want your research paper to say, how you want it to say it, and how you want it to be regarded as a whole before you begin writing it. Set your ambitions and goals, but before you do so, make sure to follow the five stages outlined above and put them into effect before you even begin writing a single sentence.
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Ideas of Capstone Project Topics for Students
Getting ahead on your capstone project is a lot like the classic “first step” in the trip of a thousand miles.
To begin, you need to pick a topic and limit it, which necessitates a list of helpful capstone project ideas.
You’re probably having trouble starting your capstone project if you’re here.
Capstone project ideas are provided here to help you get started. We’ll take a look at:
Nursing project capstone ideas
We know that your graduation and professional success depend on the quality of your capstone projects.
You may not always be able to pick your capstone project topic if you’re working with a professor. However, if you have the freedom to select, this is an excellent opportunity to show off your skills.
The process of developing a solid topic idea into a clear thesis statement or a research question can be broken down into a few primary phases.
When it comes to choosing a capstone project concept, this is how you should go about it.
Write down at least ten ideas inspired by the content you have learned over the previous four years in your course. You can receive these ideas from your peers or even from what other students have done in the past.
The checklist below will help you narrow down the topics
Examine the available information for each of the last several concepts you’ve come up with. Your capstone project research will be more accessible or complex, depending on how much time and effort you put into it. Discard any theories that appear to have little public evidence to support them. When it comes to sheer volume, quantity always takes precedence over the quality of the product.
Look for a problem that hasn’t been solved, a solution that can be considerably improved, a new direction to explore, or a unique solution that you believe could work. This is the “angle” you’ll take on the project from here on out. As opposed to theses, capstone projects aim to solve a real-world problem through the application of research.
Plan your capstone project and write up your hypothesis, which you’ll then submit to your instructor for review.
A Capstone Project Checklist
- Ideas to help you find a solid project for your final
- Is it going to satisfy the criteria of your degree? This project should cover a considerable percentage of your senior studies, and it should ideally be interdisciplinary.
- In what way does it relate to the career path you want to take?
- How amusing and thought-provoking does it seem? You’ll have a better chance of engaging your audience and instructor if you pick an intriguing topic to write about. As a bonus, it keeps you going when things get tough.
- Is there enough data, study, or other evidence to support it? You’ll have difficulty implementing a fresh idea if you don’t complete the essential foundation first. The concept must be feasible in light of the current financial and human resources.
- Treating children with diabetes using the most effective methods.
- (Health care) establishments are experiencing a shortage of nurses.
- Intensive care for patients nearing the end of their lives.
- Changing social norms to prevent diseases that contact cannot spread, such as HIV, cancer, and diabetes.
- Sexual health education for pupils to reduce STDs and pregnancies among teenagers.
- Mental health patients – dealing with stigma and providing treatment for people who lack the ability to make their own decisions.
- Nurses in operating rooms are suffering from compassion fatigue.
- The use of unconventional art therapy to treat depression in children and adolescents.
- Mental health care facilities must ensure the safety of their staff members.
- Diseases caused by the tick-borne bacterium borrelia
- The use of ventilators during surgery is common in today’s nursing world.
- The epidemic of coronavirus.
- Testing at the point of care.
Nursing Capstone Project Examples for Students in their Final Year of School
- Teenagers’ cardiac abilities
- In palliative care, the role of anesthetic nurses is crucial.
- Examining the many nursing responsibilities.
- Vaccination and awareness about HPV in the community.
- Dementia prevention and treatment.
- Antibiotic-induced diarrhea can be prevented by taking probiotics.
- Patients with sleep apnea and/or heart problems are monitored.
- Nurses’ education and growth.
To submit the finest project, you must not only choose an intriguing topic as mentioned above but also conduct extensive research that demonstrates to your instructor that you have a firm grasp on the subject. Whether you’re seeking high school capstone project ideas or professional capstone project themes, the list above will prepare you for success. Give them a try today!
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10 best Computer Science Capstone Project Ideas in 2022
Table of Contents
- Samarth Mehrotra
- July 18, 2021
You are in your Computer Science engineering final year and looking for Computer Science Capstone project ideas to work on.
Great! We have got you covered.
These computer science project topics will help you get a better understanding of Computer Science and its applications.
But before getting started with the ideas, let’s get a rough idea of what Computer Science is?
Key Takeaways
- Computer Science deals with studying, developing, and maintaining computers and computer systems.
- Face Detection, Weather Forecasting Application, Personal Assistant, and Fitness Track are some of the best computer science project ideas.
- Online Auction System, Crime Rate Prediction, Hospital Management System are some of the project ideas that can be useful in daily life also.
Computer Science: An Overview
Computer science is a branch of science that deals with studying, developing, and maintaining computers and computer systems.
Coding, computation, data processing, network information security, web architecture, algorithm design, and mobile development are the essential skills that come under Computer Science.
If you’re a Computer Science student, you might have gained many technical and non-technical skills that can help in your career. One of the advantages of being a Computer Science student is, it opens many career opportunities for you.
IT consultant, Cyber Security consultant, Information systems manager, Database administrator, Multimedia programmer, Systems analyst, Games developer , Technical writer are some of the career options you can pursue being a computer science student.
With the fast-growing connected world, the demand for Computer Science is also growing.
Now, you may have a doubt, why work on project ideas?
So, working on the project ideas is the best way to understand Computer Science fundamentals and implement your theoretical knowledge. The project ideas include designing and developing various applications-based software products and services.
Also Read: Tips to Apply for an Internship in Computer Science
Computer Science Project Ideas
Here is the list of top 10 projects in Computer Science to work on:
1. Face Detection
One of the IT-based best project ideas for Computer Science students is Face Detection software, also known as Optical Character Recognition (OCR) System.
The project involves developing software to track faces in real-time, store the data and provide the flexibility to search and manipulate data.
The main project focus is to create a face detection program using the OpenCV library .
To run the program, you are required to install the OpenCV library. The project uses pre-trained XML classifiers to detect characters in real-time.
2. Online Auction System
As the name suggests, this Computer Science capstone project involves making an online platform where buyers and sellers can do business.
Under this project, you will create an online auction platform using the fraud detection method with binary classification.
For the users, it requests identification details like PAN CARD number, email address, license number. The system uses this to check the authenticity of the users and authorise them. Also, only authorised users are allowed to bid using this project.
3. Crime Rate Prediction
If you are familiar with the increasing number of crimes globally, this will be one of the best Computer Science project ideas for beginners to work on, and it can add cheers to your resume.
This project involves developing a prediction system that can analyse and predict the future crime rate. And the users are required to feed the previous record of criminal data.
So basically, the users have to feed the data in the system. It will analyse and draw insights such as the place of crime, people involved in crime, and the crime time. After that, it makes predictions for the future using the K-means data mining algorithm.
4. Weather Forecasting Application
If you have zero experience working on Computer Science projects, real-time weather forecasting applications can be the best idea to start implementing your theoretical knowledge.
The project’s objective is to develop web-based applications that can provide real-time weather information of a location, such as weather, current temperature, chances of precipitation.
It can also help you by telling if the day will be sunny, rainy or cloudy.
The project can be even helpful in testing your coding skills.
5. Search Engine
We can say it is among the best final year project ideas for IT students.
You might have used Google, Bing, Yahoo or DuckDuckGo to search for anything. Here you have to develop a search engine of your own.
To develop a search engine, the main ingredient is web annotation. It helps in making applications user-friendly.
You also have to make a custom algorithm for the search engine to display relevant results. Google, Yahoo have their custom algorithm for showing the output for search results.
6. Personal Assistant
You heard about Siri, Alexa or Google Assistant. That’s what you will be developing under this project.
But there is a slight difference, and this personal assistant will be specifically to help people use a computer easily.
Want to close an application, minimise a website, delete some applications or switch off the computer, you just have to give voice commands to the assistant.
And since this project works on MVC modules, it provides flexibility to make changes to enhance functionality. And you can also track the activity on your computer.
7. Android Battery Saver System
There is a feature in smartphones that tracks the usage of batteries by various applications. You might have seen the alert while using the smartphone.
Under this project, you have to develop that feature only. You can make a battery saver system using Android Studio.
The objective of this system is to alert the user about the applications that are high on power consumption and provide flexibility to users to stop those apps from consuming too much power.
8. Course Movement on Object Motion
This computer science project idea for college students is an AI-based project and can be interesting for you if you are interested in robotics.
Under this project, you have to design a cursor that moves through the desktop and commands based on hand gestures. It will be based on the RGB (Red, Green and Blue) colour that detects your hand gestures and functions as the mouse.
It also uses the webcam to record the gestures, converting that image into a binary image used by RGB to take desired actions. Also, you have to feed in necessary data to take desired actions from the hand gestures.
9. Hospital Management System
In a place like Hospital, it can be complicated to keep track of all the patients and access an individual patient’s data in no time.
That’s what you will be developing in this Computer Science capstone project idea—a system to keep track of all information related to patients and staff members also.
It will automatically assign a unique ID to each patient entry and help hospital officials view and access data whenever needed.
10. Fitness Track
Like the above hospital management system, this system can be used to keep track of your fitness.
Under this project, you will make an app that allows users to create in their avatar and keep track of all the physical activities they do daily, such as walking, eating, or exercising.
And whenever the user completes the desired task, they will be rewarded with some points.
Also Read: 15 New Computer Science Project Ideas
Conclusion: 10 best computer science capstone project ideas
So, these are some of the best Computer Science project ideas to work on in 2022.
Computer Science is a very vast field to explore. Artificial Intelligence, Machine Learning, Big Data, programming languages and the list can go on.
Face Detection, Weather Forecasting Application, Personal Assistant, and Android Battery Saver System are good project ideas for beginners.
This list of Computer Science project ideas can be beneficial for you in your daily life also.
Frequently Asked Questions
Why should one work on project ideas.
Working on a project helps you get a better understanding of the field and lets you implement your theoretical knowledge.
What are some of the best project ideas for Computer Science students?
We hand-picked the best computer science project ideas for the students in the above blog.
What are some of the best platforms to learn Computer Science?
GitHub, Codecademy, Skillshare, UpGrad and Verzeo are some of the best online platforms to learn the various topics of computer science.
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Top 225 Innovative Capstone Project Ideas for Students
Table of Contents
Are you searching for creative capstone project ideas? Don’t worry! Like you, many students are struggling to come up with a unique capstone project topic. So, to help you all, here in this blog post we have identified and listed the best 200+ capstone project ideas on all the major subjects. Continue reading this blog post and earn the necessary academic benefits.
What is a Capstone Project?
Schools and colleges use a parameter known as a capstone project to evaluate students’ overall comprehension at the course’s conclusion. Typically, it enables the students to demonstrate their abilities in communication, presentation, and problem-solving, and the project is extremely beneficial to them.
The primary objective of the capstone project assignment is to inspire students to plan independently, conduct in-depth analysis, collaborate with others, and meet deadlines. In most cases, instructors will assign each student or a group of students to finish their capstone project ideas assignment.
If you are required to complete a capstone project on any subject, you must look for the best project ideas related to that subject. The task of choosing a topic for the project is hard. It takes a lot of planning to find a good and creative idea for a capstone project.
How to Select a Good Topic for Capstone Project?
The initial step of the capstone project is identifying a good topic. There is a high likelihood that you will receive low grades if you choose a subpar topic for your project. Therefore, when choosing a topic, ensure that you keep the following guidelines in mind because it would help you to improve your grades.
- You should pick an interesting subject for your research.
- Your chosen subject should be in line with your curriculum.
- It should discuss a real issue and offer solid arguments as well as real solutions.
- If you choose a broad subject, your research will take a long time, so choose a narrow one.
- The more specific your topic is, the more effective your solutions will be.
Before you start working on your capstone project, make sure you contact your professor or teacher to get their final approval. This will ensure that you don’t miss any opportunities to get feedback on the topic.
Innovative Capstone Project Ideas
Here, we have listed the capstone project ideas on all the major subjects such as accounting, business, engineering, information technology, computer science nursing, psychology, marketing, management, and many more.
Check the list and spot the capstone project idea that is appealing to you.
Capstone Project Ideas on High School Education
- Are virtual high school classes the future of learning?
- Importance of having a strong school administrative system
- Improving student behavior in the classroom
- Bilingual education systems and other related issues
- Tackling learning disabilities in children
- Ways of reducing the level of stress among students
- Poverty and its effects on a student’s education
- Developing confidence in shy students
- Reducing stress in high school students
- Should schools shorten class times or lessen the days spent at school?
Few High School Capstone Project Ideas
- Which educational practices in high schools do you think should be revised?
- Promoting leadership amongst children
- Methods to reduce cyberbullying
- Academic use of technology and social media in the classrooms
- Challenges in the communication of students and teachers
- Adapting project-based learning in schools
- Methods of motivating students
- The career path to becoming a doctor
- The importance of brain-based learning and teaching
- The challenges and advantages of a career in sports
- Challenges and perspectives of education
- The effectiveness of co-teaching
- Smartboard activities for students’ engagement
- Do you think schools should expand health services for all students?
- The emergence of space tourism
- A Small Enterprise Business Plan.
- Advantages and Disadvantages of Virtual Learning in Schools.
- Analytics in the Oil and Gas Industry: The Benefits of Big Data Utilization
Accounting Capstone Project Ideas
- Proprietorship accounting
- Ethical decision-making in accounting
- Income-related accounting theories
- Accounting for sales and income
- The effects of the recession on personal finance
- Payroll management systems
- The role of accounting in information systems
- Taxes that are related to accounting theories
- The importance of accounts in an auditing firm
- The use of software in accounting
- An accounting system for fixed assets
- Choosing between International or Regional Accounting Standards
- Tax Evasion and Accounting
- Functions of managerial accounting in an organization
- Minimizing tax liabilities for a company
- Write about earnings management.
- Identify the risk and liability factors in financial statement audits.
- Write about taxation policy and management.
- Explain how personal finances are affected by the recession
- Define and explain the role of the accounting information systems
- Discuss the importance of auditing to a firm
- How do companies minimize their tax liabilities while still ensuring profitability?
Read more- Best Accounting Research Topics and Ideas for Students
Business Capstone Project Ideas
- How effective are marketing and branding in today’s world of social media?
- Do psychological tests help company owners recruit and hire better-performing employees?
- What are the major causes of corporate bankruptcy in the automobile industry?
- Do family-owned businesses have more or fewer problems than other types of businesses?
- What challenges do small businesses have in providing adequate childcare for their employees?
- How do European business strategies impact the way U.S. business owners compete in an overseas market?
- What is the most effective way of starting a small business without enough funding?
- How important is the human resource department in encouraging workplace productivity?
- What are the benefits of large corporations taking “green” measures?
- A problem-thinking approach in business
- Analyze the roots of fanaticism in marketing.
- Discuss the pros and cons of multinational corporations.
- Globalization in Business
- Importance of Cultural Awareness.
- Growing Role of Technology.
Computer Science Capstone Project Ideas
- The best programming languages
- What role do human-computer interfaces play?
- The use of game theory for analyzing the algorithms
- Image processing
- The evolution of programming languages and techniques
- The future of artificial learning
- The use of stock prediction with neural networks
- Modern operating systems and their major security concerns
- The importance of designing a safe mobile app or software
- The growing popularity of chatbots
- A trailblazing SAAS technology in the 21st century
- The threats to internet banking
- Use of smartphone interface for e-medical record and management systems
- The major security concerns in using social media
- Tackling cybersecurity threats
- The increasing dependence on IoT and cloud computing
- How to design a perfect bank verification security system
- The increasing importance of data mining in commerce
- Automated registration software for improved cybersecurity
- Designing a web-based survey system
Engineering Capstone Project Ideas
- The red traffic light detector system
- Remote control car
- Creating adjustable home temperature heating and cooling systems
- A pedal-powered water purifier
- All about off-grid refrigerators
- Designing a car engine
- Making a self-balancing robot
- Development of electric hybrid motorcycle
- A robotic arm controlled by an android.
- Stair climbing wheelchair
- Transmitting and Storing Geological Data
- The radio-defined software technologies.
- Engineering advancements in the agriculture sector
- How a solar panel works
- The future of self-driving cars
- VR and AR technologies in mechanical engineering.
- Design vascular stents and catheters.
- Modern technologies of air pollution control.
- How AI affects the manufacturing industry?
- Develop a wireless three-phase starter motor.
Read more: Best Engineering Research Topics for Academic Writing
Capstone Project Ideas in Information Technology
- Effective plans for IT emergency recovery
- Intelligent systems of voice recognition
- Stock management software systems
- Challenges in computer security
- What is data warehousing and how is it changing information systems?
- Networking security issues
- The future of cryptocurrency
- The benefits of data mining
- Intelligent systems in text and voice recognition
- Stock Management Programming Systems
- Internet Censorship in different countries
- The wonders of voice recognition technology
- How secure are VPNs?
- The emergence of agile methodology at the workplace
- Implementing smart parking systems
MBA Capstone Project Ideas
- Analyze effective content marketing strategies that use social media.
- Definition of brand management and analysis of the best strategies
- Develop a marketing strategy and execution plan
- Best practices for total quality administration
- The issues in business outsourcing
- Designing a start-up business plan
- The role of cultural differences in management
- The effect of globalization on business management
- Top-Tier Management and Ethics
- Managing diversity in an organization
- Define effective algorithms for determining consumer buying
- Managing conflicts in large organizations
- What impact do pirate websites have on the brand and image of large corporations?
- Maintaining relationships with stakeholders
- HR Management Principles for the 21st Century
Marketing and Management Capstone Project Ideas
- Modern trends in online marketing
- Green marketing: definition and major strategies
- Problems in e-commerce marketing
- Understanding the concepts of digital marketing
- The best mobile marketing environments
- B2B and B2C Marketing Strategies
- The importance of metrics in marketing
- The link between marketing and globalization
- Crisis management for small businesses
- Management innovations across industries
- The importance of risk management
- Driving principles of supply chain management
- Methods to boost customer engagement
- How to maximize marketing channels
- Strategies for building brand value
Nursing Capstone Project Ideas
- New strategies in nursing and methods of improvement
- A patient-focused approach
- The role of the nurse practitioner in primary care
- Improving the quality of medical assistance in ambulances
- Concept and evidence-based practices for nurse leaders
- Best practices for healthcare workers to deal with critical care patients and emergencies
- Innovative diagnostic techniques in nursing
- The impact of nursing shortage on healthcare
- The best critical-care practices in medical emergencies
- How does the duration of hospital shifts impact the quality of nursing?
- Promoting evidence-based practices in nursing
- Nurse anesthesia
- People’s perspective on the role of nurses in society
- Does spiritual care improve the way nurses can perform their regular duties on patients?
- How effective is the current process of recruiting nurses?
Psychology Capstone Project Ideas
- How culture affects the psychology
- Why do people commit crimes: a psychology perspective
- Impact of sleep quality on performance at work
- Comparing long- and short-term memory
- The role of biology and environment in hyperactive children
- How violent games and movies affect teenagers
- How bipolar disorder affects the entire life
- A study on schizophrenia
- Understanding a terrorist’s psychology
- How an abortion can affect mental health
- Treating post-partum depression
- The effect of colors on the brain
- The influence of gender on depression
- Military psychology: methods and effects
- What leads to suicidal behaviors?
Capstone Project Ideas in Political Science
- The role of social movements and pressure groups in politics
- What is populism and how does it work?
- The principles of socialism and communism
- Is democracy a success or failure?
- How are more advanced countries affecting the political systems in third-world states?
- Benefits of growing international relations between countries
- Is terrorism merely a political instrument?
- The role of the united nations in maintaining world peace
- Is capitalism the best method of governance?
- Causes and effects of the American civil war
Political Science Capstone Project Ideas
- Project management in political campaigns
- What led to the collapse of the Soviet Union?
- What’s the role of modern governments in maintaining world peace?
- Causes and effects of World War I and II
- Understanding the system of governance in the United States
- Should animal cloning in all its forms be outlawed globally?
- Do you believe that students should be able to find a research subject ideas online?
- What must be done by the US in order to lower pollution levels by 2025?
- Is torturing war detainees an efficient way to get their information?
- Should the US stop providing tax benefits to religious institutions?
- Do you believe that installing security cameras in public places would help reduce crime?
- Should school days be cut shorter or class periods be shortened?
- What are the main issues surrounding the immigration situation in the United States?
- Do you believe that citizenship should be granted to the kids of illegal immigrants?
- Does a college degree indicate a successful career?
Trending Capstone Project Ideas for Politics
- How motivation among students improves performance.
- Why do college students get panic attacks?
- importance of purchasing electronic equipment while in college.
- social media’s impact on education
- Describe effective teaching methods.
- discipline-instilling strategies for college pupils.
- Modern technology enhances the curriculum.
- What part do nurses play in preventing the spread of harmful viruses and diseases?
- Why are nurses prone to suffering from extreme burnout? Would their shifts be organized differently if they changed?
- Do nurses’ usual patient care tasks go more smoothly while receiving spiritual care?
- Do you think that government laws and regulations have an effect on how nurses carry out their duties?
- How successful is the nursing recruitment process as it stands today? Do private businesses have less difficulty than public ones?
- What dangers do mothers who choose a water birth face? Do present-day midwives have the necessary training to tackle unforeseen complications?
- How Do I Make A Web-Based Survey System?
- How Are Management And E-Medical Systems Using The Smartphone Program Interface?
- How Do You Make Your Market-Based Analytical Processes Fit Into A Strong Automated System?
- Bacterial Classification and Detection Using Images?
- How Can the Game Theory Be Used To Analyze Various Algorithms?
- Computers’ Importance In Education
- What Function Play Human-Computer Interfaces?
Final Words
To submit the best project and get an A+ grade, an original capstone project topic alone will not help you. You need to perform in-depth research on the topic and present your project work effectively and efficiently.
If you want more creative capstone project ideas or any academic help to complete your capstone project, then reach out to us. We have a team of highly experienced academic writers to assist you in completing the capstone project on any subject topic as per your requirements on time at an affordable price.
Why are you waiting? Quickly place your order and get instant assignment help from our experts to earn the highest possible grade for a top-quality capstone project.
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105 Original Capstone Project Ideas for STEM Students
What is a Capstone Project? A capstone project refers to a final or culminating project high school or college seniors need to earn their degrees. It’s usually a project that takes several months to complete and should demonstrate students’ command over particular subjects within an area of study. It may be similar to master’s thesis writing. There are endless capstone project ideas to choose from, but sometimes students struggle to come up with research topic ideas, so we’ve explored several fresh capstone project topics for consideration.
Business Capstone Project Ideas
Nursing capstone project ideas, ideas for high school, computer science capstone project ideas, cybersecurity capstone project ideas, it project ideas, capstone project ideas for nursing, senior capstone project ideas, high school senior project ideas, capstone project ideas for information technology, more information technology ideas, data science capstone project ideas, creative project ideas, interesting science topics, mba capstone project ideas.
- How important are small businesses and startups to the United States’ economy?
- Is diversity in the workplace an important quality of how successful a business is?
- Is a free market truly achievable or this is just an outdated utopian idea from the past?
- How difficult is it for entrepreneurs to gain funding support to open up a business?
- How are advances in crisis management changing the ways that businesses find success?
- Is it important to have a social media presence when starting a new small business?
- What business or industries do the best during times of extended international conflict?
- What are the healthiest diets and how do nurses help promote them for in-patients?
- What are some of the psychological conditions affecting healing in patients with cancer?
- What are the most effective nursing techniques for dealing with cancer patients?
- Should nurses take a more proactive role in investigating instances of patient abuse?
- Should nurses be required to learn how to use technological tools for better care?
- How do nurses manage anxiety and fear in their patients who are dealing with illness?
- Should nurses take a greater role in providing recommendations for patients in care?
- Should physical education courses be a mandatory subject throughout high school?
- How effective are standardized tests in determining students’ skill level and knowledge?
- What is the evidence suggesting that video game violence is connected to real violence?
- Are mobile phones tools that should be allowed in classes to enhance the school experience?
- What is the most effective way of dealing with bullies at school? What is the evidence?
- Should students earning good grades receive monetary incentives or other rewards?
- Will the legalization of sports betting help raise more money for public schools?
- Are SCRUM methodologies still an effective way of dealing the product development?
- Is software engineering still a sought-after technical skill or is the subject outdated?
- In what ways are search algorithms being advanced to help the use of data mining?
- What are the most versatile programming languages in the field of computer science?
- How has computer science helped further the study of biomedicine and biology?
- What kind of impact has computer science and engineering had on human learning?
- Will computer science play a role in developing food science to end hunger?
- How has encryption and decryption technology changed in the last two decades?
- Is bank security at risk from international hackers or has security up-to-date?
- How is the internet affecting the way our private information is communicated?
- Should governments have the right to monitor citizens’ electronic activities?
- Does a federal judge need to issue warrants before people’s tech activities are checked?
- Does open source software put users at risk of having their information stolen?
- How safe are mobile phones in keeping our information safe from hackers?
- How important is it for companies to test their software updates for quality assurance?
- What are some of the more serious challenges government agencies experience daily?
- How important is the user of CMS technology in e-commerce for small businesses?
- Are our IT skills still relevant in a world where AI is increasingly becoming more cost-effective?
- In what ways is information technology important for improving standardized testing?
- What are the most important economic models in current use in developing IT?
- What benefits do human-computer interfaces systems have for today’s small businesses?
- What are the best critical care methods currently in practice in medical emergencies?
- What effects has the growing shortage of qualified nurses had on the United States?
- Are the growing cost of nursing school and training leading to a shortage of professionals?
- How important is point-of-care testing and why are health care facilities ending programs?
- Are nurses appropriately trained to deal with patients that suffer from breathing issues?
- What are the skills needed for nurses to work in high-stress stations such as the ER or trauma?
- How important is patient communication when it comes to proper diagnoses of illnesses?
- Which is the United States’ favorite sports pastime and how has this changed over time?
- Do you believe that students who participate in hazing should be punished for negligence?
- How important is it for schools to prevent hazing rituals conducted by their students?
- What evidence is there in support of alien life? Do governments know of alien life?
- Is damage to religious property considered a hate crime despite the actual intention?
- How influential is the United States’ political system towards its international allies?
- In what ways did the Cold War affect the U.S.’s international relationships with allies?
- How effective will revenue generation from legalized gambling be for the economy?
- Is it possible for gamblers to use tech to gain advantages over hotel sportsbooks?
- Is it important for major coffee companies to be socially and environmentally responsible?
- Why is it so important to protect victims’ rights in instances of domestic violence?
- Do you believe it is ethical for people to clone their beloved pets so they live on?
- Should communities be responsible for ensuring students are adequately fed at school?
- What kind of animal makes for a better childhood pet? Dogs, cats, or something else?
- What are some of the benefits and negatives of living in a tech-driven modern society?
- How does your experience in dealing with people affect the way you deal with tech?
- What is the most important information technology advancement to affect the world?
- Do you think the internet needs better censorship of certain negative material?
- Are children better off today because of the access to IT in comparison to prior gens?
- Do you believe that China will be the world’s technological leader in the next decade?
- How has technology changed the countries engage in modern warfare and conflict?
- How important is it to further develop mobile technologies for social media use?
- Is social media becoming obsolete and in what ways are consumers using the tech?
- Does web-based training improve one’s ability to learn new skills at a fraction of the cost?
- Should internet providers take better care of keeping consumers’ privacy secure?
- How important is it to monitor how social media uses consumers’ browsing histories?
- In what ways does IT play a role in how engineers develop transportation routes?
- How has IT changed the way companies conduct their business around the world?
- How are gun laws being affected by the kind of information provided by data science?
- Gathering information for disease control has changed how in the last 20 years?
- In what ways is the information gathered from big data a company’s biggest asset?
- How did Trump benefit from the use of data science leading up to the election?
- How effective are sports franchises in making decisions based on big data science?
- Is it possible to avoid over-saturation of information in the age of data science?
- How is big data working to make artificial intelligence in business a real possibility?
- How are infographics affecting the way people consume information in today’s world?
- Is it possible for another major election to be tampered with by foreign governments?
- Are people becoming less educated as a result of the amount of information consumed?
- Will video games play a role in removing soldiers from harmful front-line combat zones?
- Do you think public colleges and universities should move towards faith-based teaching?
- Is it still sufficient to have a college-level education to succeed in today’s economy?
- Should the United States invest in and provide longer paid leave for new parents?
- Does economics or science play a bigger role in Europe’s decision to ban modified crops?
- What are the most optimal diets safe for human consumption in the long term?
- Is it possible to incorporate physical exercise as a way to modify DNA coding in humans?
- Do you believe that personal medication that is designed specifically for genomes is possible?
- Is it scientifically ethical to alter the DNA of a fetus for reasons related to genetic preference?
- Is science an effective discipline in the way people are being tried for violent crimes?
- How effective is stem cell science and its use in treatments for diseases such as cancer?
- How important is business diplomacy in successful negotiations for small companies?
- What role does a positive and healthy workplace have in retaining high-quality staff?
- What sort of challenges does small business face that large corporations don’t experience?
- Should workplace diversity rules and standards be regulated by state or federal law?
- How important is it to be competitive in advertising to open a small business?
- Are large corporations making the right kinds of innovative investments to stay relevant?
- How important is the word of mouth marketing in today’s age of digital communications?
The above capstone project ideas are available to use or modify at no cost. For even more capstone project topics or to get capstone project examples, contact a professional writing service for affordable assistance. A reliable service can help you understand what is a capstone project even more so by providing clear instructions on the capstone project meaning as well as the most common requirements you can expect from today’s academic institutions.
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- MBA Projects
Best MBA Capstone Project Ideas
- November 9, 2022
Top MBA Capstone Project Ideas For Theses and Dissertations
Given that this is your first time completing this kind of project, it might be challenging for you to think of a catchy and original title. It is advised that you look for a MBA project writers that can assist with fresh and original research topic ideas for an MBA thesis so that you can develop a distinct and researchable MBA project. Your goal should be to gather MBA capstone project ideas that can be of assistance in producing a suitable case study in accordance with your area of specialization, whether you specialize in economics, human resource management, accounting, marketing, technology, entrepreneurship, business management, finance, e-commerce, or any other field.
Marketing: MBA Capstone Project Ideas For Beginners
Many MBA in Marketing courses includes various projects to improve your educational experience. Here are a few interesting and excellent business capstone project ideas you can choose from for your MBA marketing program. You can request our MBA project help service to assist you turn any topic into a viable project.
1. Examining consumer behavior and developing user engagement and retention strategies for a platform that streams documentaries
One of the most important steps in developing effective marketing strategies to engage & retain users, especially for brands with digitally based platforms, is understanding consumer behavior.
2. Review and analysis of consumer delight with online shopping portals for e-commerce
The world has seen a boom in e-commerce over the past six to seven years, but ask yourself this question; are customers happy with their online shopping experience, or are there still some issues that need to be resolved?
3. Customer service’s impact on customers in the telecom industry over the last ten years
Customer service is a significant component of after-sales care that can improve the client’s overall experience and delight them to keep them coming back for more. What effect would such a strategy have in the competitive telecom sector?
4. Strategies for acquiring online customers for a new-age furniture and appliance rental startup.
For furniture and rental startups to reach their potential customers on Fb, Twitter, Google, Instagram, and other platforms and gain clients at a reasonable cost, they would need to implement the proper messaging and targeting strategies along with the proper optimization strategies.
5. Research on packaging for different product types and its application as a brand-building tool
Consumers remember brands based on the color schemes and packaging used for different products, and packaging has long been utilized as a tool for branding promotions.
6. Increasing brand awareness among the target section through innovative & creative social media strategies for a young travel company
Social media strategies can greatly increase brand awareness and customer engagement when used properly.
7. Analysis of the brand positioning of Coca-Cola, one of the most recognizable brands in the world, from its inception to the present
After studying consumer behavior and the psychology of the target market, Coca-Cola’s marketing team used a variety of creative strategies to transform a beverage drink into one of the world’s most beloved brands.
8. Analysis of how the global auto industry is developing, including top brands, consumer trends, market share, and marketing strategies and campaigns
The automobile industry is one of the most fiercely competitive, with many domestic and international players. Sales are challenging, and consumer behavior patterns are distinctive. Because of all these factors, brands must work arduously on their marketing plans to stand out.
MBA Capstone Project Ideas for IT
IT projects have grown more complex as the topics for MBA projects have advanced. Information technology must be more flexible and user-friendly as users demand, making competition more important. Students pursuing MBA capstone project topics in IT must complete a project to demonstrate their knowledge of the material. They must develop an IT project that will demonstrate the knowledge and skills they have acquired throughout the MBA program.
Students should exercise extreme caution when selecting topics for their IT-related MBA projects. While common topics will give a poor impression of your competence, well-prepared and researched topics will make a positive impression. Students must therefore conduct adequate research before beginning any IT project.
Picking the best subject for their projects is a common challenge for students. They frequently choose very simple subjects for their projects or pick the hardest ones to make an impression. But they frequently fall short of getting good exposure from them. They might not be putting much thought or effort into the project topics. However, these minor project failures will harm their career as a whole. Therefore, each student must take these MBA capstone project ideas in Information Technology seriously.
Here are the trendiest IT capstone project ideas for MBA students.
- A review of the performance of the current payroll system and the creation of a brand-new, comprehensive payroll system.
- Creation of a web-based airline reservation system.
- Designing a server for a multiplayer chess game.
- To develop a job search engine for both candidates and employers.
- Online shopping portal design and development.
- Secure online survey system design and development.
- An organization’s transition to voice over internet communication protocol is due to advanced technology.
- An investigation into how well teams can monitor mobile network tower signals.
MBA Capstone Project Ideas That Have Not Received Much Research
It takes a lot of research into your field of study to identify areas that prior studies seemed to have overlooked to come up with MBA capstone project ideas that will make your dissertation stand out and earn you a Master’s Degree. However, this can be quite simple if you have clearly defined your areas of research interest. Here are a few examples of MBA capstone topic ideas in fields that haven’t been thoroughly investigated:
- The effects of automation on the supply chain industry.
- The contribution of workplace diversity promotion to enhancing corporate culture.
- An analysis of the effects of unconscious bias in hiring decisions.
- The importance of product personalization and customization in digital relationship marketing in times of pandemic.
- The advantages of emotional branding and its effects on customer loyalty.
- The significance of the virtual supply chain in facilitating transient business partnerships.
- Consumer purchase decisions and animated online advertising.
- An analysis of how effective margin financing is for financial performance.
- AI’s effects on businesses and how they affect market research.
MBA Capstone Project Ideas for Business Analytics
Due to technological advances, in recent years, the amount of data available has grown exponentially. This has created new opportunities for companies to utilize the data to make informed decision. Business schools have introduced programs that teach prospective professionals on deriving insights from structured and unstructured data. MBA in business analytics curriculum tailors to produce graduates with strong understanding and skills in descriptive, predictive and prescriptive analytics to make data-driven decisions.
The culmination of the program is completion of a capstone project. Students are required to utilize analytics to solve a real world business problem. The capstone project requires a student to define the business problem, collect and analyze data and model and develop actionable solution. In case a student does not have a sponsoring organization for his project, he will be required to scout for a topic to work on. Here are a few MBA capstone project ideas for business analytics that business analytics students can use:
- Predicting employee attrition and performance
- Conducting market basket analysis between soft drinks and pastry
- Predicting real estate prices
- Predicting commodities prices such as gold, avocado, oil and coffee
- Estimating customer churning rate
- Predicting load capacity of an airline
- Predicting store sales for footwear companies like Nike
- Modelling for predicting customer purchases in Walmart
- Credit scoring and modelling: predicting default rates
MBA Capstone Topic Ideas in Human Resource Management
1. Employee Training Requirements in the Banking Sector
Every year, the banking industry changes, and bankers deal with millions of customers, many of whom have little to no knowledge of banking services. This also implies that regular training for all staff is necessary to cater to the needs of all of these customers.
2. Examining Performance Evaluations and Bonuses
Is the appraisal system designed to fairly reward the top performers, or are there flaws that make it impossible to do so? What is the bonus payment structure? Is a fair bonus system in place at the company during successful financial years?
3. The Effects of Career Planning and Progression on Workers in Quick Food Chains
The possibility of career advancement motivates workers to put in extra effort and increase productivity. Advancement in one’s career is frequently accompanied by better pay, a better job, and more respect. How are career development and planning handled in the fast food industry from the ground up while considering the impact on employee morale and motivation?
4. Employee Retention Techniques
An organization should have the lowest employee churn in the sector, and its employee retention programs should be quite successful. Additionally, it should provide various employee reward programs to maintain staff motivation. How should these strategies be put into practice to ensure their success?
5. Investigation of Employee Satisfaction in the Telecom Sector
Tens of thousands of people are employed in the crucial telecom sector. Some of the most well-known businesses, including Airtel, Jio, and Vodafone, are executed in this sector. One of the industries with the most intense competition is this one. The work is monotonous, and workplaces are notoriously stressful. What level of employee happiness do you think this sector has?
6. Employer Branding Techniques in Challenging Businesses
Employer branding enables a business to promote itself to students and potential employees as the best workplace. How will you convince employees to join struggling businesses using various employer branding strategies?
7. An Investigation into the Various Employee Welfare Programs at Fast-Moving Consumer Goods
Many high-end and recognizable brands exist in the quickly evolving consumer goods industry. They have a huge workforce and provide lots of employee-friendly benefits. How have these programs enabled them to maintain a low attrition rate while keeping staff on board for extended periods?
Tips on How to Develop Better MBA Capstone Project Ideas
The ability to select your topic is advantageous. Take advantage of the chance to choose one that will enable you to produce a solid MBA capstone project. The most effective capstone projects have a distinct aim and strategy. They are focused and show a logical progression. So, how do you generate good MBA capstone project ideas ? Here are five suggestions to assist you:
● Make sure it’s relevant to your area of expertise
Ensure your MBA capstone project topic is pertinent to your field of study and aligned with your area of expertise. For instance, writing a capstone project on the “influence of workplace diversity on corporate culture” won’t help if you’re a marketing student.
● Think about your professional objectives
It’s best to research a subject that aligns with your professional objectives. In this manner, you will be somewhat familiar with the work environment when you actually perform it in the future. Consider that you are a finance student hoping to work in the corporate investment industry. Instead of choosing a research topic about tax preparation or insurance, you should prefer to focus on corporate or investment banking.
● Identify the project’s scope
You cannot choose a topic that is too broad because that would make your project question too diffuse. This will hinder the outcome and prevent you from focusing on a particular issue or area. In addition, since there won’t be much background data on which to base your research, too narrow topics are constricting. Therefore, determining the scope of the work is essential before you decide to conduct additional research.
● Determine a business core problem
This is not just any project work; it is an MBA project, so you must be able to recognize a business challenge, opportunity, or situation on which to base your research. You can practice your problem-solving skills, which is another crucial trait to possess in the corporate world, when you state a specific business problem, do some research, and then develop a solution based on that.
● Speak with your professor
Lastly, be sure to speak with your professor before you begin your project. It’s always a good idea to bring your professors along because they are there to help you. They’ll be able to offer you insight that will help you narrow down your project question or take into account details you might have overlooked.
What is an MBA final project?
This is the last stage of many MBA programs . Here, MBA students apply everything they have learned to solve a core business problem.
How do I find a good MBA capstone project topic?
Review your course readings, or perhaps read up on some of your favorites. You can also pay for business capstone project help from experts capstone writers who will provide you with hottest capstone topics.
How do you select a project title?
You should select a topic depending on your career aims and ambitions. For instance, if you intend to start your own company, MBA project offers you an opportunity to compile a feasible business plan. Selecting an organization based assignment will provide you an opportunity to establish relationship with potential employers.
Considering everything at stake, picking an MBA project topic can be challenging. You don’t want to pick the incorrect subject and realize it’s too late to change. To ensure that you select a top-notch topic that lays a solid foundation for a fantastic MBA project, take your time, pay attention to these suggestions, and consider the suggested MBA capstone project ideas
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Capstone Project Topic Ideas: 100+ Examples in Different Fields
May 2nd, 2022
College education can seem like quite a daunting task. This is especially true if you have to come up with extensive research papers. It takes extensive research and a whole lot of time to come up with many different research ideas and topics, and then you have to begin working on them. A capstone project is one of the most research-intensive projects in your student life. Coming up with capstone project ideas can be quite daunting. You have to spend a lot of time doing extensive research first, only after which you can start off.
Selecting the Best Project
Before you progress or select the right project to work on, you must do your research, using the skills that you have acquired over the years. The idea is to have a topic that you personally like, and also one that will teach you a lot. Your topic should be one that allows you to put your skills to use in the best way so that you can showcase your analytical skills for a capstone project in high school .
A capstone project is one that also allows you to put your practical education to use. So make sure that you choose something that actually teaches you a lot, allowing you to further polish your skills.
Only once you have a topic that you think is worthy of working on, you should begin. So the question is – if you are stuck in a rut , how do you select the right topic or the right capstone research topics and don’t want to avoid failure with the capstone project ?
Here are a few steps that can be very helpful:
1. Brainstorm 🧠
The first thing that you should do is brainstorm. Go over all that you have studied and then come up with a few ideas that you think are workable. It is only when you have some topics in front of you that you will see all the options that you have, and then you can decide which one you want to work on.
2. Consult your supervisor 🧑🏫
The role that your supervisor plays in this is massive. So once you have shortlisted a few topics that you think you can work on, you must go to your supervisor and discuss those, so they can also give you their opinion, and make sure that you are headed in the right direction.
3. Begin working ✍
Once you have spoken to your instructor and come up with several topics for capstone project ideas in 2023, then you can instantly start working. Throughout the process, you should remain in touch with your professor, who should guide you and help you get through all of that easily.
Capstone Project Tips
It is never easy to get done with your capstone project, it requires skill and determination . Here are a few tips that can be very useful for you:
- Make sure that you spend most of your time researching since that is what matters the most.
- Find your topic early on and then work around that.
- Trust yourself and know that you can do it. Only then will you be able to give your best to what you are doing.
- Keep a check on the amount of time that you have. Sometimes, we tend to lose track of the time, which can be quite problematic and can lead to further delays in the work.
- Create an outline first and then work according to that outline to get done with all of your work.
- Use trusted resources for your information.
- Make sure that you focus on the format you have been given by your supervisor as well as the capstone project wordcount .
Capstone Project Ideas
Our team at Writing Metier has collected a list of ideas for capstone projects that you can work on. We have divided it depending on the field that you choose to explore. Starting from easy capstone project ideas for high school and coming to senior capstone project topics that can be used for specific fields.
Remember to choose your topic wisely 😉
Capstone Project Ideas – High school
- What factors to consider when starting a new business?
- How to develop more effective business processes?
- What are the effective stress management techniques?
- How is gender inequality affecting workplaces today?
- Does gender inequality play a role in the education industry?
- How has flexible work picked pace recently?
- How did the COVID-19 pandemic affect workplaces?
- What are the advantages of distance learning?
- How can virtual classrooms become more effective?
- How do college students manage stress?
Capstone Project Ideas – Engineering
- How is robotics affecting human resource management?
- What are the advantages of automating your home?
- What are the advancements in the field of robotics lately?
- How is a reconstruction project done?
- What ae the factors that need to be considered in a greenhouse system for heating?
- How is 3D printing picking pace?
- What are the advantages of 3D printing?
- How can civil engineering management projects be executed?
- How is intelligent energy being made use of in the modern day and age?
Capstone Project Ideas – Education
- What is the future of e-learning?
- How can student motivation affect their chances of scoring higher?
- How can students be made to become more obedient?
- How can student performance at school be enhanced?
- How can we make better use of technology in the classroom?
- How can we make better use of flexible learning opportunities?
- How can the education curriculum for special needs children be made more effective?
- Why do students have anxiety attacks?
- How can distance learning be promoted more?
- How can learning become more conducive for children?
Capstone Project Ideas – Management
- How does customer service affect sales?
- What is the role of supply chain management in driving sales?
- What role does technology play in driving sales?
- How to come up with the best public relations strategy?
- How does globalization affect intercultural communication?
- How can small businesses function at the time of crisis?
- How can hiring processes become more efficient for companies?
- How can employees be made to perform better by on-the-job training?
- Why are women underrepresented in the most powerful roles?
- What is the role of gender bias when hiring?
Capstone Project Ideas – IT
- How can we make the internet a safer place?
- How can we protect our data on the internet?
- What is the future of cryptocurrency?
- What is the future of cloud computing?
- How does voice recognition technology work?
- How is big data used in the oil and gas sectors?
- How can big data help companies make more thoughtful decisions?
- How does internet censorship in most countries work?
- How do smart parking systems work?
- What are the pros and cons of cybersecurity?
Capstone Project Ideas – Medical and Nursing
- How can nurses make their practices more efficient?
- Why is nursing, as a profession, gaining so much importance these days?
- What are the developments made in the field of curing cancer lately?
- How has the spread of the Coronavirus been controlled?
- How effectively are pain management techniques being discovered?
- What skills does an effective nurse need?
- How can point of care testing become more efficient?
- What are the recent innovations in the field of nursing?
- How do government policies affect nurses?
- What techniques do nurses need to use when taking care of special needs patients?
Capstone Project Ideas – BSN
- What role does anesthesia play in palliative care?
- What techniques can be used for dementia patients?
- What are the educational requirements of nursing?
- How can nurses improve their skills further?
- What is the scope in the field of nursing?
- Why is lack of awareness about vaccinations a problem?
- How can patients with sleep problems be monitored?
- How is the role of nursing changing in the current age?
- What professional training programs are good for nurses?
- How can one start off their career in nursing?
Capstone Project Ideas – Business
- How do non-profit organizations sustain themselves?
- What are the requirements of doing business in UAE?
- What cross-cultural management techniques do MNC’s need to follow?
- How do work ethics differ across cultures?
- What effect do mergers have on businesses?
- What role does advertising play in boosting sales?
- Why the growth of digital marketing is an advantage for businesses?
- What are the major advantages of doing business online?
- What are the advantages of outsourcing business processes?
- How do consumer perceptions affect sales?
Capstone Project Ideas – MBA
- How does effective brand management help enhance sales?
- How does marketing push the product in the market?
- What are the strategies that can be used for relaunching a product in the market?
- What are the strategies for improving a product?
- How to pull a brand back from the market?
- How to revamp brand positioning to ensure that it does well in the market?
- How can online businesses thrive further?
- How can companies differentiate themselves from competitors?
- How can digital marketing help grow the business?
- What are the useful techniques to motivate employees in times of recession?
Capstone Project Ideas – Social Work
- How can child abuse be prevented in societies?
- What are the strategies to deal with human trafficking?
- What role does the government play in ensuring that there are laws in place for human trafficking?
- How can domestic violence be prevented?
- What are the legal actions that victims of domestic violence can take?
- How can people with grief be helped?
- How does grief counseling help deal with personal losses?
- How to help rape victims recover?
- How does child neglect affect academic performance?
- How does child neglect affect social performance?
Capstone Project Ideas – Psychology and mental health
- How can we manage stress more effectively?
- How is stress affecting work productivity in the current day and age?
- What is the effect that video game violence had on children’s behavior?
- How do we learn good traits from others around us?
- What is the science behind developing good habits?
- How can we tackle depression in a better way?
- What are the underlying reasons behind the rapid increase in depression amongst the youth?
- What are the effects of child abuse on young children?
- How does sexual assault affect young children?
- How are children from dysfunctional families affected by what goes on around them?
Capstone Project Ideas – UX and web development
- How does online/affiliate marketing work?
- What is the goal of a website?
- What is the future of online shopping?
- How can we make the food and dining business more lucrative?
- How can collaborations between eateries be fruitful?
- What is the role of a talent management portal?
- How can a customized healthcare application help?
- How do negative online reviews affect company’s reputation?
- How do negative online reviews affect company sales?
- What is the role of a countdown timer?
Select topics for your capstone project
With so many good ideas for capstone paper topics, you can make your pick after careful consideration. But you need to be sure that you choose a topic that you think you can work on. Anyway, a guide on how to write a capstone project proposal will help to find out some tips. However, we understand that it is not easy to work on extensive research. So if you feel like you need help with your capstone project, we can help you with it while you can select the capstone project topic .
➡️ get help with your capstone project ⬅️
You can also be interested in other articles that shared a list of topics for different fields. Below you will find links to those posts on our blog:
- Math IA Topic Ideas
- Biology Research Paper Topics
- IB ToK Essay Prompts
- Extended Essay Topic Ideas
- Motivational Speech Topics
- Topics for Comparison Essays
- Position Paper Topics
We, at the Writing Metier, have a team of professionals who are qualified enough, with plenty of experience to help you out with any type of capstone project. All you need to do is contact us, and someone from our team will be there to assist you.
You can give in your instructions for your capstone project, and we will be there to help you complete your project. All you need to do is give us the work, and we will be sure to get back to you with your completed task. We ensure timely delivery, and revisions as well. So what are you waiting for then?
Get in touch with us and we will be there to help.
Laura Orta is an avid author on Writing Metier's blog. Before embarking on her writing career, she practiced media law in one of the local media. Aside from writing, she works as a private tutor to help students with their academic needs. Laura and her husband share their home near the ocean in northern Portugal with two extraordinary boys and a lifetime collection of books.
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Top 160 Capstone Project Topic Ideas For All Students
Jan 25, 2022
Jan 25, 2022 | Blog
Are you looking for a top-notch capstone project topic? You have come to the right place.
Capstone projects require a student to pursue independent research on a topic of their choice, often with guidance from a faculty member.
The primary research should show a deep understanding of the discussed topic.
The challenge is not researching but finding a suitable topic and project title.
Often, the lecturer or instructor will provide a list of the best topics to choose from.
Still, you will have to find a good topic to discuss in your research paper on your own from the given capstone project topics or from other sources like youtube, journals, and scholarly books.
How To Choose Topic for Capstone Project?
A capstone project is a graduation requirement for many higher education institutions.
Students can learn and demonstrate what they have learned during their years of study by completing one or more projects to graduate.
The format, size, and requirements vary depending on the school you attend and which course it is required (ex: arts vs. math).
In contrast with other assignments within your classes, such as taking tests or writing essays , these projects require students to take the initiative throughout college while demonstrating skills outside academia.
For instance, creativity in designing an art piece rather than just presenting facts from books read during class time.
This academic assignment is for students to develop critical thinking skills, plan, and keep deadlines in order.
In addition, students should work as a team with classmates and communicate effectively about what makes an excellent education.
Finding a good idea can be tricky.
You have to find an interesting capstone topic that you’re passionate about and ready to work on for several weeks or even months!
Picking the right topic is one of the most important parts of writing your capstone paper .
Without this, it will likely end up being dry and uninteresting – no matter how well written it may be otherwise.
So I recommend finding something that excites you enough during research and throughout the actual process before investing too much time into moving forward with any good capstone project idea just yet.
Finding a good senior capstone project can be difficult, but don’t worry! There are plenty of resources to find the perfect one.
- First, check out our list of topic ideas below for some ideas that might strike your fancy.
- Next, please talk with your professor about scholarly books or journals they recommend you use to research them during your time at school.
- Finally, if these methods haven’t helped and all seem hopeless, ask other students who have completed their projects what worked best for them so far. Sometimes it takes another’s opinion before we know which way is up when looking through everything available.
The following is an outline of some handy capstone project ideas from accounting, nursing, marketing, and engineering.
Take a look, and you might find inspiration for your project.
High school Capstone project topic examples
The following are some of the best ideas for high school students:
- The effects of poverty on a child’s education
- How to handle stress bullying in school
- Ways of motivating low-performing students
- A review of the education system: What aspects should be revised
- How to effectively communicate with students from different social groups
- Virtual learning: Could it be the future of high school education?
- A detailed plan for a small business
- How can parents be actively involved in the education process
- School meals: Should the government restrict the kinds of food served in high school cafeterias?
- Does the media always report with integrity? Are there times they create the news?
- The benefits of engaging in extra-curricular activities
- What are the effects of the internet, especially social media, on the performance of students?
- What can be defined as a good school administration system?
- Solutions for the menace of drug abuse among the youth
- The effects of HIV and other STIs on the youth
Great Nursing Capstone Project Ideas
The following are some nursing ideas you can draw inspiration from:
- What are the roles and responsibilities of nurse practitioners in administering primary care to patients?
- How the shortage of nurses affects the provision and delivery of healthcare
- The importance of point-of-care testing (POCT)
- The best pain management practices and how they can be implemented in healthcare facilities
- The best practices of handling patients with communicable diseases
- Effective nursing methods in the care of elderly patients
- A comprehensive review of visitation models in hospitals: Are this model patient and family-centered?
- Is there a necessity for a nursing assessment tool?
- Learning nursing: Classroom model vs. online learning
- The effects of long shifts for nurses on the quality of patient care
- A review of critical care response: How to improve how health facilities handle medical emergencies
- Caring for dementia patients using non-pharmacological methods
- Palliative care: Factors affecting palliative care and possible solutions
- Effective protective measures during outbreaks in hospitals
- The role of health care providers in hospital-acquired infections
Captivating capstone project title ideas for sales and marketing
The following are some examples of marketing titles:
- The challenges of e-commerce marketing strategies
- How gender influences the buying behavior of customers
- How to create effective digital marketing strategies
- Social media as a marketing avenue
- The role of visual components in advertisements
- Current internet marketing trends
- How to use customer-loyalty programs
- Which product attribute do customers value?
- How Apple has effectively implemented the concept of product customization
- How Nike has mastered the concept of product personalization
- Gender and website preference
- How search engine optimization has evolved over the years
- Creating a functional online ad
- Factors influencing customer retention
- The influence of celebrity endorsement on purchasing decisions
Creative Capstone project ideas for engineering students
Engineering is a broad subject, meaning a student should have so many ideas, including:
- The importance of Engineering Control Programs in quality control
- Are off-the-grid power systems reliable?
- Electric vehicles promise an eco-friendly transportation system
- The importance of contracts in engineering and construction projects
- Building an adjustable HVAC system
- The future of robotics
- Understanding the mechanics of steam engines
- Electrical power generation from renewable sources
- How can car manufacturers improve the stability of F1 cars?
- What makes maglev trains faster than other trains?
- The need for vessels that have little impact on the marine ecology
- The application of subsurface mapping in the oil industry
- Is there a need to automate aircraft landing systems?
- A review of the safety of unmanned aircrafts
- Understanding aerobatics
Innovative Capstone Project Ideas on Computer Science
The following project titles suggestions will kick start your computer science project.
- An in-depth review of programming languages: Which are the best?
- The perfect design for a bank verification security system
- Critical security flaws in modern operating systems
- The role of human-computer interfaces
- How to design a functional automated system for market-centered analytical processes
- Analysis of different algorithms using the Game Theory
- How to detect and classify bacteria using images
- Designing a program for recording and analyzing clients’ information
- Recovering deleted files from computer systems and servers
- E-commerce: The possibility of linking an online site to an ERM software
- Stock predictions using Neural Network Systems
- Remote control technology for different home appliances
- The application of computer software in surgical procedures
- Understanding the process of image processing
- Artificial intelligence: Its applications and current information technology techniques
Interesting Information Technology Best Capstone Project Ideas
The following are some interesting title samples for IT students:
- What are the top security concerns in networking?
- Documents and records management best practices
- How to effectively design online training programs
- What are the advantages of data mining?
- IT in the banking sector
- A comprehensive guide on the programs of object recognition
- Data warehousing: What role does it play in information systems?
- Understanding Intelligent Transport Systems
- The basic principles of network and network security
- The challenges of computer security
- How to advance voice and speech recognition systems
- Wireless surveillance systems
- Firewalls: Are they really secure?
- How to implement network and IT security for a big company
- A review of IT security laws
Political Science capstone projects ideas
The following are examples of topics a political science student can come up with.
- The differences between capitalism, socialism, and communism and the principles of these economic structures
- Why is capitalism a better governance structure?
- The reasons behind the collapse of the USSR
- Did Germany become a better country after the collapse of the Berlin wall?
- A review of democracy: is it a success or a failure?
- The cause and consequences of the 2 nd world war
- The role the United Nations plays in maintaining peace in the world
- How interest groups influence government policies
- The benefits of international relations between nations
- The influence of developed countries on the political systems of developing countries
- Understanding the government system of the USA
- How to fight narcoterrorism in Afghanistan
- The case of the southern states shifting from Democrat and becoming Republican
- The relationship between the political movements in Syria and the foreign policy of the United States
- Propaganda: How politicians effectively use this tool in the electioneering campaigns
List of the Best capstone project ideas on Accounting
Accounting students can draw inspiration from one of the following ideas:
- Understanding the theories of accounting
- Ethical thinking in accounting
- Understanding off-shore accounting
- The evolution of cash flow
- The effects of auditing collusion
- Microfinance in the United States banking sector
- The partnership between the public and private sectors is imminent
- The viability of the products available in the financial markets
- Examining the gender bias in the accounting sector
- The effectiveness of accounting standards evaluation
- The current applications of technology in accounting
- A review of the relationship between banking and accounting
- A review of bankruptcy rules and regulations
- Credit unions vs. microfinance institutions vs. banks
- Legal ways large corporations can use to reduce their tax obligation
Fantastic Capstone project ideas on Management
Business management students can write a project based on one of the following ideas:
- The importance of good social relations and soft skills in management
- Management courses: How to improve the effectiveness of management graduates
- How to improve ethical decision making in a company
- Effective conflict management systems for large organizations
- HR management best-practices for contemporary organizations
- Business process outsourcing: What tasks can an organization outsource
- Understanding the theories of project management
- The difference between project management and operations management
- How to improve the productivity of employees
- Why do managers need to understand the cultural differences of employees
- Managing a financial crisis without harming the market reputation of a company
- The relationship between regional laws and the growth of an international organization
- Internal promoting vs. external recruiting: Which of these two is best when hiring for a managerial post?
- How to handle overqualified employees
- Why job satisfaction is important for both the employee and the employer
The ideas shared above will help with your capstone project.
But, remember, selecting an effective topic is only the first step.
After, you will have to gather resources to use as evidence in your paper, come up with a thesis, do hours of research, and then get down to the actual business of writing.
All the best in your project.
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Capstone project ideas for information technology Get an A+
Entering a college and a university the first thing you might dream about is practical exercises. Especially if you applied for information technology academic programs. Such a discipline is always full of exciting tasks since the IT sphere can’t be improved without practical experience.
Nonetheless, it is still full of written tasks. At least, every student has to write an IT capstone project at the end of the course. You can’t avoid this assignment or ignore it since it affects your academic rating. What to do if you don’t want to struggle on it?
We know the simple solution. Whenever you struggle on your college or university appointment, delegate it to qualified writers and send them “ write my capstone paper for me ” request. At our company you can get a lot of IT capstone project ideas and ask for assistance at any time. Whether you need help with the whole project or just with a part of it (editing, proofreading, writing separate paragraphs), we are ready to help you.
Information Technology Capstone Project by WriteMyCapstone is rated 4.9 /5 based on 125 customer reviews
Information technology capstone project examples | What makes a great topic
You probably know everything about such concepts as a framework, MySQL, or bootstrap. But often, this knowledge is not enough. For a great capstone project, you need to find a topic that is not only informative but also interesting and useful.
We suggest that you have a lot of relevant knowledge in IT. Since you are interested in this sphere, you might understand different frameworks and databases, cloud technologies and so on. Thus, you clearly understand that every project begins with an idea. The question is, how to find good information technology capstone ideas?
We asked our experts to provide some recommendations on choosing the ideas. Thus, here is the list of factors that define a perfect topic:
- Relevancy. Here you have only one requirement. The topic should be fully related to an IT sphere.
- Originality. This feature is usually hard to follow since there are a lot of scientific works related to IT. You have to find an idea that hasn’t been analyzed before.
- Access to resources. To create a brilliant capstone, you need a lot of information. Thus, there should be a lot of information to research for your idea.
- The deadlines can be met. Mind that some ideas might need even years for analyzing. Being a student you can’t afford yourself so much time since you probably will have several months to finish the capstone project.
And if you still don’t know what to write about, continue reading, and we will provide you with a list of 50 IT capstone project examples with ideas.
IT capstone project proposal outline
If you look at any capstone project for an information technology sample, you might notice that almost every example follows the same format and outline. But even though the structure and elements are usually the same, you should check the requirements and guidelines beforehand.
Approach your teacher or tutor and ask what parts should your capstone project in information technology contain. Thus, you will remain on the safe side and won’t have to rewrite all the sections from scratch, whether it is an IT capstone project proposal, introduction or conclusion. Below, we want to describe a standard outline of a capstone project which consists of 10 parts.
- Title page It represents the basic information about a scientific work (topic, author, course and so on).
- Abstract This part represents the whole scientific work in several paragraphs. In other words, you have to summarize a capstone project.
- Table of content Here you have to enumerate the main points of your work in a chronological way.
- Introduction Introduction is the most important part of every scientific work. It is aimed to attract the reader’s attention. Thus, you have to create a strong intro for your capstone project topics for information technology.
- Description of the problem This is one of the most important parts where you reveal the issue analyzed and represent how it affects the IT development.
- Literature overview Each scientific work should be based on real facts and statistics. Thus, creating a capstone project topic for IT you have to list the sources that you have used.
- Methodology Here you have to represent your approaches for research and writing. Don’t forget to prove that a certain methodology is the best for a certain topic.
- Conclusion This part is the same as an introduction. A lot of professors usually turn to conclusions immediately. If they like it, they go back to the start of the paper and start reading.
- References If you use any quotes in your capstone project, you have to create relevant references and use a proper formatting style.
- Appendices Usually, a capstone project has a lot of visual files (images, graphs, statistical data and so on). Thus, you have to add them to a project and create notes in the project referring to certain appendices.
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Topic for capstone project examples information technology
There is a huge number of topics on information technologies: from security systems to data storage and artificial intelligence. However, it is possible to distinguish a good topic from a bad one by following the principles above. If the chosen idea possesses all those features, you can work on it. If not, search for another topic. Below we want to share 50 topics that will boost your imagination:
- Impact of artificial intelligence
- Virtual and Augmented Reality
- The role of mobile applications in education
- Transportation systems and intelligent vehicles
- Cloud technologies in healthcare
- Monitoring of gadgets and smartphones
- Boosting work productivity with time trafficking monitoring
- Mobile application for IQ testing
- Accommodation booking via mobile applications
- Future of the social networks
- Smart homes
- Web-based file managers
- Memory games for better learning
- What you should know about networks
- Benefits of transportation systems
- Cloud-based financial apps for budget planning
- Complex data for business management
- Tools for e-commerce
- Learning platforms for onboarding training
- The pros and cons of data mining
- How to improve data security
- The basis of app development
- Network administration in different industries
- Automatic home surveillance
- Applications for testing air quality
- iOS-based electronic board
- Applications for automated loan issuing
- Software for clinical management
- Using sensors to convert sign language into texts
- Ways to prevent data losses
- The latest news on data mining
- Cryptocurrency and data security
- Defects of quality control systems
- Doorbell notifications via a smartphone application
- Logistics instruments for warehouses
- Editorial applications for designers
- Software for fast and secure payments
- Gaming simulations
- Smartwatches and childhood protection
- Hospitality management instruments
- Ways to improve information logistics
- How to detect programming errors quickly and effectively
- Event evaluation applications: desktop and mobile
- Medical systems for maximum efficiency
- Managing files in law firms
- App for library catalogs
- Sales and inventory on cloud servers
- Technologies for small businesses
- Web-based courses for medical professionals
- How to boost college performance with modern technologies
How to find the best information technology capstone project ideas
A professor can’t name a certain topic as the best. At the same time, a student can’t say that his work is the most stunning. However, there are several factors that point out the excellence of the capstone project idea. If your scientific work helps to find new approaches to a certain issue, it is definitely among the most interesting.
In this case, it is necessary to analyze previous works. The more capstone project examples information technology you check, the more you understand about your idea. Thus, you might guess whether you have to do research and find something new or it is better to choose another topic.
When choosing a topic for your future IT capstone project proposal, choose an idea that you are interested in. It should also have a meaning to your academic and professional life. Our professional capstone project writing service also recommend choosing an area you are good at because this will help to create a more detailed and informative project. Remember, this work may become one of the biggest projects in your academic collection.
And when you choose a topic, don’t forget that the capstone title for IT students matters as well. If you have questions left, send us a message, and we will gladly help!
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What Are The Capstone Project Ideas And Texts On Them?
Academic writing
If you have never heard what capstone project is, it will be useful for you to learn about this type of academic assignment. Luckily, you can find all the needed information in this article! Capstone projects are designated to teach the younger generation how to conduct research on the issues they are interested in. Educators believe that this assignment also develops student’s practical skills important for further studies and work. And the most remarkable thing about any capstone project is that you can pick literally any topic that you are passionate about.
How to make capstone projects?
That is one of the first questions that students ask as soon as they look at examples of capstone papers . The answer to this question is simple – you can do literally anything! Even if you have a ridiculous idea to invite a large number of musicians and create your own small festival, it will be a great basis for your project. However, the problem is that students often choose something that is not interesting but is much simpler than their first exciting idea. This approach is wrong because even if your topic is not the easiest one, you can take one of your “crazy” high school capstone project ideas because they are not so difficult to write and still very interesting to research.
In order to complete your project on the top-notch level, you might need to perform a variety of tasks since doing the capstone project does not presuppose the search and analysis of sources only. One of the most interesting aspects of work is collecting information on how to create something or explaining how something works. For example, you can interview a politician from your city in order to learn about some legislations and how they benefit the citizens. This will not only help you score a better grade for a final project but also provide you with valuable information, which might be useful for your future work or studies.
Another great thing you can do is conduct an experiment. This scientific procedure is particularly suitable for such subjects as Biology, Chemistry, and Physics as there are a lot of things in these sciences that you can put to test and receive practical results. Therefore, before choosing a specific topic among all the biology capstone project ideas, our academic writing service also suggests checking on the possible experiments that can be carried out within the subject.
Why do you need to make capstone projects?
The reason for completing any project is pretty simple – you can learn a lot from it. The knowledge you acquire while working on such an assignment will be much more valuable than any information you can find on the Web. Moreover, this type of work will help you to develop practical skills, which you may apply in your studies or future profession. For example, a huge number of computer science capstone project ideas can become a great base for startups which later grow into big companies. Of course, this is not always the case, but you can easily succeed in any sphere if you devote enough time to working on the chosen project.
That is all the information that you need to know before you begin to work on the project. Also, it is worth noting that writing this type of paper is still not as easy as it might seem to be. Therefore, it is important to have something to start with, and we will help you with this task by providing a list of ideas for a capstone project.
The best ideas for a capstone project
With some of the ideas presented below, you can create a decent capstone project and get the highest possible grade for your paper. Even though the topics below are interesting, they are not so easy to cope with; that is why you have to be ready to spend a considerable amount of time on your project. Rest assured that in the end, you will get an excellent mark which is worth your efforts. Here is the list of recommended topics:
- How do popular bands influence the music industry?
- How can logistics help to cut business costs?
- How to make language learning more efficient?
- Approaches to developing a business plan
- Space trip planning
- How to write a chart-topping song and make it popular?
- Guidance on how to market your product effectively
- Research on how to deal with a specific disease
- Basics of managing a company
- Reducing the level of air and water pollution
- Coping with stress at school
- How to solve an ethical dilemma in the public sector?
- Creating a striking logo for a company
Nursing capstone project ideas
If you choose one of the DNP capstone project ideas we have listed in this paragraph, you are surely going to score the highest grade in some of the nursing-related subjects. Such topics are among the most difficult to write on because working on such a project, you have to be focused on clinical practice and have a considerable medical background. However, if you devote enough time and energy to your paper, you will not only get a mark you strive for but also learn how to apply knowledge into practice. And here is a list of good DNP topics:
- Creation of new diagnostic methods
- How does the shortage of doctors affect society and the healthcare system?
- Best practices to prevent cancer
- Usage of robots in hospitals
- New ways of fast transportation for ambulances
- How to deal with difficult patients?
- Criteria for hiring new doctors
Capstone project ideas for information technology
The information technology course is probably one of the most popular nowadays. Despite the fact that many people work on projects on this subject, there is still a lot of issues to research. Therefore, make sure that you have picked a good topic for your paper as there are many examples when students who have successfully defended their projects got hired by big companies. Here are some of the topics that you can research:
- New ways to recover lost information
- The introduction of new programming languages in older systems
- Creating offline and online networks
- How to boost the speed of work of employees in the IT company?
- What IT products can be used in medicine?
- How to create a bot for your personal needs?
- Creating a system that will take and analyze surveys automatically
- How to create a simple game?
- Creating a website and boosting it in ratings
- Creating a security system for a bank
- How encryption works and why it is so important?
- How to improve computer speed?
Engineering capstone project ideas
As you may already know, the automation and robotics industry has been on the rise throughout the 21 st century, making the engineering field of study one of the most popular and demanded. This industry needs young professionals who will find out new ways to invent something, instead of researching existing methods of how to do it. So you can get into one of the engineering companies if you succeed in creating your own project. Here is a list of some original and compelling topics:
- Ways of making solar energy cheaper
- How to make something work automatically?
- Developing a system with heat control
- How has robotics changed and what to expect in the future?
- How to implement robots into the building sphere?
- Research on how quality control works
- The work of light control systems
- How do the largest automatic systems work?
- Protective equipment of workers on a factory
Psychology capstone project ideas
There is always a high demand for young professionals in the field of psychology who can take a fresh look at the field. We would suggest considering the following topics if you are in search of a great idea for your capstone project:
- The best ways to treat a certain disease
- Finding new treatment ways of a certain disease
- A study of how high a psychologist can go in a counseling career
- The greatest achievements of all time in the psychology industry
- Ways of implementing hi-tech technologies in psychology
- Reasons for adding computer tests into the list of psychology tests
- The effectiveness and benefits of cognitive-behavioral therapy
Capstone project ideas for healthcare administration
It is essential to say that healthcare is a sphere that will always require a lot of new ideas on how to save more lives. We believe that thorough research on the topics listed below will help future healthcare professionals to choose a striking issue to discuss in their capstone project:
- Creating a network for hospitals
- The possible difficulties of dealing with patients
- Research of systems used in hospitals
- Creating a new program for the healthcare system
- The work of a hospital administrator
- The introduction of robotics in the work of the hospital reception
- Study of patient’s psychological distress at the hospital
- How to boost morale in the hospital team?
- The placebo effect. Does it work?
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Capstone Projects
The Capstone is a culminating academic project experience that is completed within the confines of a semester-length course. Several Master of Liberal Arts (ALM) fields either require a capstone or offer the option to pursue one. In addition to the information below, review Guide to the ALM Capstone Project website.
Types of Capstones
We offer two forms of capstone: Capstone Course (faculty directed) and Capstone Independent Project (student directed).
Capstone Course–Faculty Directed
For the ALM fields of anthropology, biotechnology, creative writing and literature, cybersecurity, data science, English, government, history, information management systems, international relations, management, math for teaching, psychology, religion, and software engineering, capstones are courses designed by faculty members who bring together, in a structured syllabus, all the key learning outcomes of the field of study.
Our cybersecurity, data science, and management capstones ordinarily have a real-world industry partner as the client for your capstone research.
While our creative writing capstone allows for ample room to work on individual artistic projects, but with the added benefit of weekly engagement with peers and the instructor–a supportive writer’s community.
Every effort is made to offer the same precapstone/capstone topics each year (e.g., human development, policy analysis, and social justice); however, topics are subject to change annually.
Good academic standing. You must be good academic standing to register for the capstone. If not, you’ll need to complete additional courses to bring your GPA up to the 3.0 minimum prior to registration. For detailed course description information, including specific registration requirements, such as credit minimums and academic standing requirements, use the Degree Course Search .
Tip: Register on the first day of degree-candidate registration to obtain a seat in these limited-enrollment courses.
Precapstones
The ALM fields of anthropology, biotechnology, creative writing and literature, cybersecurity, data science, English, government, history, international relations, management, psychology, and religion have a required precapstone course that must be completed with a grade of B- or higher.
Mandatory Sequencing of Precapstones/Capstones. You enroll in the precapstone and capstone courses in back-to-back semesters (fall/spring), with the same instructor, and in your final academic year.
Due to heavy workload demands, all your other degree requirements must be fulfilled prior to capstone registration. The capstone must be taken alone as your one-and-only remaining degree requirement. You cannot register in any other courses along with the capstone.
It is critical that you draw upon your entire ALM training to produce a project worthy of a Harvard degree by committing to full-time study in the capstone.
Attempts . You have a maximum of two attempts at the precapstone course to earn the required grade of B- or higher. If after two attempts, you have not fulfilled the requirement (a WD grade is considered an attempt), your degree candidacy will expire. If by not passing the precapstone you fall into poor academic standing, you will need to take additional degree-applicable courses to return to good standing before enrolling in the precapstone for your second and final time.
The second attempt policy is only available if your five-year, degree-completion deadline allows for more time. If you attempt to complete the precapstone in your final year and don’t pass (including a WD grade), your candidacy will automatically expire.
For detailed course description information, visit the Degree Course Search .
Capstone Independent Project–Student Directed
For global development practice, digital media design, journalism, museum studies, and sustainability, capstones are client-based or independent research projects focused on a current issue or problem that has become compelling for you during your course of study. The project represents your academic passion and professional interest. You complete the research individually (journalism) or in a classroom setting with fellow candidates (all other fields).
Journalism candidates should scroll down to Journalism Capstone. The following applies to:
- Global Development Practice
- Digital media design
- Museum studies
- Sustainability
Registration in the capstone for the above fields has the following prerequisites: (1) your specific research project must be approved several months in advance (prior to enrolling in the precapstone tutorial), (2) you must successfully complete the precapstone tutorial, and (3) the capstone must be your final, one-and-only remaining degree requirement. You cannot register for any other courses along with the capstone.
There are two major steps to obtain project approval.
Step one: obtain advice right away. Once admitted to the program, meet with your research advisor early and often about your initial capstone research interests. He or she can provide support as well as course selection advice as you develop preliminary ideas. Please note that while every effort is made to support your capstone interest, guidance is not available for all possible projects. Therefore, revision or a change of capstone topic may be necessary.
- For museum studies your capstone will have a main focus on (1) business of museums, (2) collections care, (3) exhibition design, (4) museum education, or (5) technology. Whatever focus you choose, you must have at least two courses completed in that area before enrolling in the precapstone tutorial. If not, your enrollment will not be approved.
- Due to the highly technical nature of their projects, digital media students must meet with their research advisor, Dr. Hongming Wang, to discuss their capstone topics according to the following schedule. Between January 2 and February 15 for summer precapstone and between May 1 and July for the fall precapstone. Appointments can be scheduled through the Degree Candidate Portal.
- Step two: register for the noncredit tutorial. The semester before capstone registration (no earlier), you are required to (1) enroll in the noncredit Precapstone tutorial, (2) visit the Guide to the ALM Capstone Project website to read through the tutorial guidelines, and (3) submit your prework by the required deadline (see below in bold).
Prework demonstrates that you have done enough prior reading and research on your topic to begin the capstone proposal process. Registration in the tutorial is limited to degree candidates who submit quality prework. If your prework is not approved, you will need to spend time revising in order to re-submit for the next offering of the tutorial, if your five-year, degree-completion deadline allows.
Once registered in the noncredit tutorial, you will receive guidance and mentoring while you iterate on your individual capstone proposal until the document reaches a satisfactory quality. The tutorial is not a course in the traditional sense. You work independently on your proposal with your research advisor by submitting multiple proposal drafts and scheduling individual appointments (ordinarily, during the hours of 9-5). You need to make self-directed progress on the proposal without special prompting from the research advisor. While the tutorial is noncredit, your due diligence throughout the semester is required.
If you do not have a proposal that is close to being approved by the semester’s withdrawal deadline, you’ll need to withdraw from the tutorial, delay capstone registration, and re-take the capstone proposal tutorial again in a future semester, if your five-year, degree-completion deadline allows.
- For the fall capstone, you complete the proposal tutorial during the prior summer term: Register for the Summer Precapstone tutorial March 1. Submit the first draft of the preproposal between March 1 and May 15 . Actively participate in the tutorial during the summer and end the term with an approved proposal. Register and complete capstone in fall.
- For the spring capstone, you complete the proposal tutorial during the prior fall term: Register for the Fall Precapstone tutorial when registration opens in mid-July. Submit the first draft of the preproposal between July 18 and August 1 . Actively participate in the tutorial during the fall and end the term with an approved proposal. Register and complete the capstone in spring.
- For the summer capstone, you complete the proposal tutorial during the prior spring: Register for the spring Precapstone tutorial when registration open in early November. Submit the first draft of the preproposal between November 7 and January 2 . Actively participate in the Capstone Proposal Tutorial during the spring and end the term with an approved proposal. Register and complete capstone in summer. This sequence (spring tutorial, summer capstone) is required for international students who need a student visa.
Please note that not all fields offer a capstone each term. Refer to your field’s Degree Course Search for the schedule.
Human Subjects
If your capstone will involve the use of human subjects (e.g., subject interviews, surveys, observations), review the Human Subjects section on the Guide to the ALM Capstone Project website to learn Harvard University’s Institutional Review Board (IRB) approval process.
Journalism Capstone
The course, JOUR E-599 , entails a portfolio of several related stories that are completed over the course of one semester. You apply knowledge and skills obtained in the program to complete a significant journalism project under the direction of a professional in the field. Over the course of the capstone semester, you’ll conduct an in-depth investigation of a single topic and emerge with a portfolio of new work suitable for publishing, posting, or broadcasting.
You can register for the capstone once you complete 36 credits, and you work independently to complete the project within a semester timeframe. The capstone can be, and often is, completed at a distance.
To begin the capstone approval process, you schedule an appointment with your research advisor, June Erlick, ( [email protected]) , to discuss your capstone ideas.
While every effort is made to support your capstone interest, guidance is not available for all possible projects. Therefore, revisions or a change of capstone topic may be necessary before it is approved. As in all traditional journalism, projects must take a fair and balanced view by bringing in differing points of view. Projects should not be one-sided or take an advocacy stance.
Once a topic is approved, you submit the first draft of your capstone proposal (visit the Guide to the ALM Capstone Project website to read the Crafting the Capstone Proposal specific guidelines). Ms. Erlick supports you through the fine tuning of the proposal and works with the Journalism program office to identify a capstone director.
A capstone director is a journalism instructor or professional in the field who has expertise relevant to your capstone topic. The final decision about who will serve as director is made by the Journalism program office; however, you are welcome to request a particular instructor. However, we ask that you not contact an instructor directly prior to capstone approval.
You are expected to work independently on your project with support and direction from the director. The capstone director will meet with you several times over the semester to answer questions, discuss your progress, read drafts, and offer feedback. The director also grades the final project.
Journalism Timeline
- Fall capstone: Meet to discuss capstone ideas by May 1. Submit first draft of capstone proposal by June 1.
- Spring capstone: Meet to discuss capstone ideas by September 1. Submit first draft of capstone proposal by October 1.
- Summer capstone: Meet to discuss capstone ideas by February 1. Submit first draft of capstone proposal by March 1
Final Capstone Grade
You need to earn a grade of B- or higher to earn degree credit for the capstone. If you earn a grade below a B– (including a WD), you will need to petition the Administrative Board for permission to enroll in the capstone for one final time. The petition process is only available if your five-year, degree-completion deadline allows for more time. Your candidacy will automatically expire if you do not successfully complete the capstone requirement by your required deadline.
If approved for a second attempt, you may be required to repeat the precapstone course or the non-credit precapstone tutorial. Please note that you cannot choose a different precapstone/capstone sequence to gain additional (more than two) attempts at fulfilling the capstone requirement for your degree.
If by not passing the capstone you fall into poor academic standing, you’ll need to take additional degree-applicable courses to return to good standing before enrolling in the capstone for your second and final time. This is only an option if your five-year, degree-completion deadline allows for more time to take additional courses.
The Board only reviews cases in which extenuating circumstances prevented the successful completion of the capstone.
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The School of Information is UC Berkeley’s newest professional school. Located in the center of campus, the I School is a graduate research and education community committed to expanding access to information and to improving its usability, reliability, and credibility while preserving security and privacy.
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Cybersecurity Summer 2022 Capstone Project Showcase
Capstone projects are the culmination of the MICS students’ work in the School of Information’s Master of Information and Cybersecurity program.
Over the course of their final semester, teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling presentations along with a web-based final deliverable. A panel of judges will select an outstanding project for the Lily L. Chang MICS Capstone Award .
Join us for an online presentation of these capstone projects. Each team will present for twenty minutes, including Q&A.
Join the Online Showcase
Alex Shulman-Peleg , Ph.D., is a managing director leading the cloud cybersecurity consulting services of Ernst & Young in the Americas. She is supporting multiple clients in their secure enablement of public clouds and container technologies, addressing the involved risk, cybersecurity, and engineering requirements. In her previous role, she was a director of cloud security at Citibank, where she established and led a CISO cloud security program, as well as cloud-native security engineering. She led software development at IBM Research and RAD, leading security innovation in multi-year EU cloud consortium projects. She has decades of technological leadership and holds Ph.D., M.Sc. and B.Sc. degrees in computer science. She has multiple patents and more than 30 scientific publications having thousands of citations.
Rob Duhart is the vice president, deputy chief information security officer, and chief information security officer for eCommerce at Walmart. Rob currently leads the international, mergers and acquisitions, vulnerability management, security and technical assessment, and ecommerce security teams and serves as the primary deputy to SVP & CISO Jerry Geisler. Rob serves teams that own the responsibility of securing all Walmart ecommerce activities — including holiday and hype sales, managing the vulnerabilities across all of Walmart, and not sleeping so that the organization can be cybersafe and secure 24/7. Rob joined Walmart from Google where he led teams responsible for building security, privacy, and content safety programs and capabilities across every Google product area (Chrome, Android, YouTube, Photos, Maps, etc.). Rob also led security architecture, operations, and engineering teams at Cardinal Health and Ford Motor Company prior to Google. Prior to industry, Rob served as a security leader for the United States intelligence community and the Federal Bureau of Investigation for almost a decade. Rob enjoys cheering on the Tennessee Vols, collecting vinyl records, and perfecting the art of smoking brisket.
Yabing Wang is the VP and chief information security officer at Justworks. She has 20 years of extensive leadership experience in cybersecurity across different industries. Yabing thrives in transforming security into a business enabler through executive leadership, program delivery, and partnership with all stakeholders. She has built global security practices and strengthened cyber resilience at Allstate Insurance Company, Alight Solutions, Carrier Corporation, and H-E-B. Yabing worked at Netscape Communications before her cybersecurity career, and obtained her master’s degree in computer science from the University of Illinois at Urbana-Champaign.
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2022 Capstone Projects
CUSP received its highest number of proposals ever for the 2022 cycle of the Capstone Program . Thanks to our sponsors, our graduate students have the opportunity to have an impact on critical urban issues while continuing to develop their data science skills and honing their public policy expertise. Projects have been grouped into four categories: disaster resilience and climate change, fairness and inclusivity, health and wellbeing, and modern civil and communications infrastructure . To view the full list of 2022 projects, see below. Stay tuned throughout the spring and summer semesters to hear more about how our 2022 Capstone projects are progressing!
Disaster Resilience and Climate Change
Fairness and inclusivity, health and wellbeing, modern civil and communications infrastructure, a new dataset to develop smart assistants for specialized training with augmented reality, project sponsors.
- Iran R. Roman , Postdoctoral Scholar, NYU CUSP
- Juan Pablo Bello , Professor and Director, NYU CUSP
Project Abstract
Emergency response personnel (i.e. firefighters, medical personnel, and utility workers) require specialized training to act in time- and precision-sensitive tasks. Comprehensive training requires time, practice, and continuous guidance from a professional and experienced trainer able to predict and correct the trainee’s actions. The trainer-to-trainee ratio currently limits the amount of individuals who are trained at a time. Ideally, such training could be carried out by an automatic and smart agent using augmented reality devices like the Hololens. In this project, we aim to develop a system for guided monitoring of a person’s actions as they learn a specialized task.
Project Description & Overview
Smart assistants can guide a trainee’s actions as they learn a specialized task. Such a system can: 1) identify the task being performed, and 2) predict the trainee’s actions. The assistant must process the trainee’s field-of-view (i.e. egocentric video) and surrounding sounds, carry out object recognition (including the trainee’s body parts, like arms), attend to relevant objects, and predict future actions.
Existing approaches rely on multimodal datasets with egocentric video and audio where an individual is seen carrying out a task. These datasets must be annotated so that actions in the egocentric video are associated with clear human-language descriptors. Annotation can be carried out completely by a person, but this is time-consuming and prone to error. Alternatives include automatic annotation via speech recognition, if the video data features an individual narrating their own activities. But narration leads to pauses between actions as the individual speaks, or errors when the individual thinks about what to say, or talks and acts at the same time. As a result, currently existing smart assistants are limited by data used for their development.
This project aims to 1) Improve data quality with a new dataset of egocentric video and audio, where an individual receives verbal instructions from a third party. 2) Benchmarking of pre-trained machine learning models that carry out video summarization and audio-visual correspondence. 3) Evaluation of action prediction models. Hence, the project’s question is: do multimodal egocentric recordings of instructed actions result in better annotations and predictions of human performance by an artificial agent?
Collecting data from emergency response workers would be logistically challenging and not really necessary to first address our research question (whether multimodal egocentric video of instructed actions result in better annotations to predict human behavior). Instead, to ask our question we will use videos recorded by a real-life worker at the Subway restaurant chain. He uploads to Youtube everyday and his videos are openly-available. The videos feature him making specific menu items as he follows the verbal instructions of customers. He started his Youtube channel in June and has already uploaded 7 hours of egocentric multi-modal video (and his list of videos continues growing every day). Moreover, we have established direct contact with him, shared our research ideas, and if this project is approved he will support us by uploading at least 10 minutes of his real-life footage at work, per day.
Competencies
The students should be comfortable with Python and familiar with data analysis tools such as numpy and pandas. Having a machine learning background is also desirable (basic classification models such as random forests and test/train splits for evaluation).
Learning Outcomes & Deliverables
To conduct such a project we need audio-visual annotations. First, students will learn how to use existing models for automatic speech recognition and visual object detection. This will result in a real-world audio-visual dataset of egocentric perspective in an instruction-following task with annotated actions. Secondly, students will learn to evaluate performance of existing video summarization and audio-visual correspondence models against their newly-curated dataset. This will result in a study of performance of different off-the-shelf models on egocentric multimodal data in an instruction-following task. Finally, students will learn how to use and benchmark state-of-the-art multimodal action prediction models. The third deliverable would be a report with a summary of the work carried out and main conclusions along with the associated code used.
A Tale of Two Cities: Assessing the state of the thermal environment for New York and Athens
- Constantinos Cartalis, Professor, National and Kapodistrian University of Athens (NKUA)
- Anastasios Polydoros, Ph.D. Candidate, National and Kapodistrian University of Athens (NKUA)
Mitigation plans to counteract overheating in urban areas need to be based on a thorough knowledge of the state of the thermal environment, most importantly on the presence of areas which consistently demonstrate higher or lower urban land surface temperatures (hereinafter referred to as “hot spots” or “cold spots”, respectively).
This is because Land Surface Temperature (LST) is a controlling factor of energy exchange between the surface and the atmosphere, and thus a cause of meteorological and climatic variation. Such exchange is through latent and sensible heat as well as the emission of radiation at the thermal infrared part of the spectrum.
As a matter of fact, as urban areas are covered with buildings and pavements; as a result moist soil and vegetation are being replaced with cement and asphalt. These materials have high thermal mass and tend to absorb more solar radiation than the surfaces found in rural areas, with the result being higher land surface temperatures. Additionally these surfaces are impermeable and tend to dry more quickly after precipitation, reducing evaporation, which has a cooling effect in green areas.
The main objective of the project is to develop and apply a methodological approach for the recognition of thermal “hot spots” and “cold spots” in New York City and Athens, during the warm months of the year. Results will be analyzed separately for each city as well as in a combined manner in view of recognizing potential similarities which may be rolled out as urban typologies.
Specific objectives are:
- (a) the classification of land cover in each city (current state and retrospectively for a period of 20 years),
- (b) the estimation of LST from Landsat-8 at 30 m x 30 m and Sentinel-3 and MODIS at 1 km x 1 km spatial resolution,
- (c) the estimation of the downscaled LST at 30 m x 30 m on a, roughly, daily basis – and diurnally to the extent possible – with the use of the results of b),
- (d) the analysis of the extracted land surface temperatures so as to recognize and cluster “hot spots” and “cold spots”,
- (e) the correlation of the “hot spots” and “cold spots” to such independent variables as: (e1) the urban form—the two and three-dimensional urban structure (e2) the urban fabric – the surface materials and (e3) the urban green – presence, extent and distribution,
- (f) the estimation of the Surface Park Cooling Intensity, both in areas with extended parks as well as in areas with pocket parks.
Satellite data (free) from: Landsat 8 (visible and TIR), Sentinel-2 (visible) and Sentinel-3 (TIR) and MODIS from Aqua and Terra (vIS and TIR).
Provisionally image processing and/or GIS.
- Students will understand the thermal/climate dynamics of urban areas
- Students will exploit the potential of earth observation satellites and remote sensing for urban applications
- City maps depicting thermal hot spots, the cooling intensity of parks, land use/land cover as well as changes over space and time
Creating a High Performance Construction Project Database To Accelerate Building Decarbonization and Resilience in NYC
Project Sponsor
- Marianna Koval, Director, Invest NYC SDG, NYU Stern Center for Sustainable Business
The power of experience curves in technology (known as Wright’s Law, Swanson’s Law, or “learning by doing”) has made clean energy technologies less expensive than fossil fuel-generated energy, driving exponential growth in clean energy deployment globally. Can this power of learning also be harnessed for the technology of low carbon building to make Passive House construction less costly than traditional methods? This project, a partnership between Invest NYC SDG, Passive House Accelerator, and Source 2050 will (1) study how “experience curves” apply to Passive House design and construction, and (2) create a global project database to accelerate those experience curves.
The Invest NYC SDG initiative is committed to creating a sustainable, inclusive, and resilient built environment in NYC. Passive House is a proven technology for dramatically reducing the greenhouse gas emissions of buildings and providing climate resilience to building occupants, making Passive House (1) a key tool for achieving the goals of Local Law 97, (2) a centerpiece of NYSERDA’s building decarbonization work, and (3) a rapidly growing building-based climate solution in NYC, NYS, and nationally.
At Passive House Accelerator events and industry conferences, it is common to hear project teams report rapid, project-based learning such that each Passive House project they complete becomes more efficient and less costly than the last. Do these anecdotes translate to quantifiable and significant experience curves that can be harnessed to drive costs down and accelerate market uptake? Invest NYC SDG will partner with Passive House Accelerator and Source 2050 to empower Capstone students to:
- Answer the research question, “do technology experience curves apply to Passive House, and if so, at what learning rate?”
- Increase this learning rate by building a visualization-rich High Performance Construction Project Database that shares replicable details from hundreds of projects, documents cost and performance, and shares lessons-learned with thousands of practitioners, owners, manufacturers, and policymakers in NYC, NYS, and nationally.
- Design an optimal “case study” design for each project listing, determining which data points transmit “best practice” most effectively, and how best to share that information in visual and written formats.
- PHI Passive House Database: This online database lists 5,000 PHI Passive House buildings internationally, with basic project data; it is a good foundation for more robust case studies with data visualizations, higher quality project images, and information. Cost data is not published, so will need to be gathered from project teams.
- Phius Certified Projects Database: This online database lists 350 Phius Passive House buildings in North America, with basic project data; it is a good foundation for more robust case studies with data visualizations, higher quality project images, and information. Cost data is not published, so will need to be gathered from project teams.
- NYSERDA Buildings of Excellence Datasets: NYSERDA publishes cost, performance, and project data for its 42 Buildings of Excellence projects.
- Pennsylvania Housing Finance Agency LIHTC applicant data: Three years of cost, square footage, and certification type data for 268 proposed affordable housing projects (74 of which were Passive House).
- Passive House Accelerator Project Gallery: The Accelerator’s project gallery features 200 project entries, some with very data-rich descriptions and others with considerably less data published; it is a good foundation for more robust case studies.
- Massachusetts Clean Energy Center Passive House project data: MassCEC is tracking performance, cost, and project data for the growing number of Passive House multifamily projects that are underway thanks to state policies that incentivize Passive House development.
- Source 2050 Vendor Project Profiles: Source 2050 is asking all vendors to provide case studies, testimonials, project profiles, and similar materials as they are onboarded; these will provide unique perspectives from the trades on how these products and details performed in the context of specific project types.
Data analytics, visualization, data mining and processing, outreach/interview skills, database management, and web integration
- Data analytics report on experience curves in Passive House and the relevant learning rate.
- High Performance Construction Project Database to document data findings and share Passive House project lessons learned, published to the Passive House Accelerator website, with data visualization.
- Development of project detail packages from the Database to make available to trades through Source 2050 as complete project solutions.
Data-Life: Exploring Post-Covid Scenarios Through Data Science
- Marco Brambilla, Professor, Politecnico di Milano
- Stefano Ceri, Professor, Politecnico di Milano
The project will combine quantitative data coming from open data, social media, and other sources, together with ad-hoc analysis, crowdsourcing, and gamification practices, to collect data and understand the perception of people about the present and future of the pandemic. It will look into the post-pandemic future, trying to understand how things are going to change and how people may react to different alternative policies and decisions at different levels.
COVID-19 has affected our lives in unprecedented ways, in many personal, professional, and educational aspects. This impacted both our daily plans and logistics, as well as our perception of the world and of the future. A lot of data is available about COVID-19 impacts and many data-driven studies have been conducted for understanding the associated dynamics at the medical, logistic, and organizational levels. However, fewer studies concentrated on the perceptions, feelings, and emotions involved in these changes.
The project will combine quantitative data coming from open data, social media, and other sources, together with ad-hoc analysis, crowdsourcing, and gamification practices, to collect data and understand the perception of people about the present and future of the pandemic. It will look into the post-pandemic future, trying to understand how things are going to change and how people may react to different alternative policies and decisions at different levels. Possible perspectives to be explored include: educational opportunities, university life, city life and dynamics, professional life, family life, government decisions (mandates, regulations, lockdowns).
The study will be conducted in the cities of New York and Milano, both severely affected by COVID-19, both having lived long and painful lockdown periods, but both nowadays showing important signs of reactions, with a strong revival in social life, cultural events, and desire to return to normality. The project will highlight many aspects of similarity but also many aspects of diversity of the reaction to COVID-19 of the two cities.
Dataset exploration and definition will be part of the project activities.
Students should have basic data management skills and competence in social media data and crowdsourcing practices.
The project will study methods, tools, and reports/analysis on the expectations, reactions and feelings of people with respect to the return to normal life after the pandemic.
Developing an AI-based Image Classifier for School Infrastructure Baseline Data Collection in Large Scale Disaster Risk Analysis
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL) and NYU AI4CE Lab
- Jingzhe Wu and Angie Garcia, Consultants, World Bank’s Global Program for Safer Schools (GPSS)
This project will develop a risk-informed classification system to support AI computer vision algorithms for assessing seismic vulnerabilities in schools. The project will be led by the World Bank’s Global Program for Safer Schools (GPSS), the NYU Disaster Risk Analysis Lab, and the NYU AI4CE. The project’s main goal is to develop a simplified vulnerability classification system based on existing detailed taxonomy from the Global Library of School Infrastructure (GLOSI: https://gpss.worldbank.org/en/glosi/overview), to support AI-based computer vision tools to reduce structural vulnerability data collection time and costs in large building portfolios. We envision that this simplified classification will enable more reliable AI computer vision tools to empower communities to be engaged in governments’ disaster risk management efforts more easily, make risk analysis more accessible and informed by up-to-date baseline information worldwide and guide large-scale school safety and resilience investments more efficiently.
This project will focus on a simplified classification system to support easier and more reliable extraction of structural classifications (features) from pictures of schools using computer vision algorithms. The structural classifications will be set according to the Global Library of School Infrastructure (GLOSI) structural taxonomies . GLOSI taxonomies are key to defining structural vulnerabilities in school buildings that are considered in large-scale earthquake risk analysis. The project will use the vulnerability data of GLOSI typologies, and school inventory data from ~2000 schools collected in World Bank projects. The project will have four main parts:
- Methodology Development: Redefining and simplifying GLOSI categories through potential clustering based on seismic vulnerability similarities (e.g., brittle materials); and redefining intermediate labels (e.g., proxy variables like material, building component sizes) to support a hierarchical classification logic to better predict GLOSI categories.
- Data Pre-processing: Curating the school dataset using the simplified GLOSI categories and the developed intermediate labels.
- Computer Vision Analysis: Adjust and retrain the existing computer vision models following the developed intermediate labels.
- Measuring risk errors: Assessing the accuracy/uncertainty with the inventory with the developed simplified GLOSI categories compared to the original detailed inventory, in terms of risk metrics using existing risk software.
- Vulnerability curves of relevant school building typologies.
- School inventory dataset with ~2000 schools and their current GLOSI categories. Note: The dataset is proprietary and will be provided under NDA. This dataset contains multiple photos per building for all the buildings in each school, their labels in the GLOSI categories, and other relevant exposure information such as coordinates, occupancy, and building footprint dimensions. The total number of images is over 16,000 images. This dataset was collected by teams deployed in the field to survey the schools.
- Existing AI computer vision model prototype for reference.
The team needs at least one person with a background in disaster risk analysis, and preferably computer vision and machine learning. For computer vision, this requirement means a student that took or is taking a class equivalent to CSCI-GA.2271-001 or ROB-GY 6203. A team member with a strong programming background (especially with hands-on deep learning experience) will increase the success rate of the project. For disaster risk analysis, this requirement means a student that took or is taking a course equivalent to CUSP-CX 8006. Please get in touch with Professor Ceferino for further inquiries about competencies.
- Developing hands-on experience with AI and computer vision tools for seismic resilience
- Understanding the data requirements for conducting regional disaster risk analysis and defining seismic vulnerabilities
- Simplified classification system on school building vulnerabilities for computer vision uses
- Progress and final reports
- A final presentation with wider GPSS team
Emergency Response after Earthquakes: Assessing Risk and Guiding Coordination in Hospital Systems
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL)
- World Bank’s Global Facility for Disaster Reduction and Recovery (GFDRR)
- Earthquake Engineering Research Institute’s Public Health Working Group
This project will assess the earthquake risk of hospitals and their ability to sustain operations after future large earthquakes. The project will be led by the NYU Disaster Risk Analysis Lab, the World Bank’s Disaster Risk Management Division, and the Earthquake Engineering Research Institute (EERI)’s Public Health Working Group. The project’s main goal is to apply robust disaster risk analysis techniques on hospital datasets to better understand post-disaster hospital capacity. The project will investigate new risk metrics relevant to inform practical risk mitigation policy implementation and emergency planning, e.g., mobilizing patients from neighborhoods with little hospital capacity to high hospital capacity. The goal is to inform communities on how to mitigate not only potential economic losses, as currently done in practice, but also potential functional and societal impacts.
This project will focus on conducting earthquake risk analysis in two cities’ hospital systems. One case study will be located in the Bay Area, California, and the other one will be in a developing country defined according to data availability. The project will have four parts:
- (A) Curating and completing datasets for assessing earthquake risk: The students will be provided with initial datasets that map hospital infrastructure and its seismic vulnerabilities. Students will extend these datasets, with guidance from their advisors, to be integrated into disaster risk analyses.
- (B) Conducting earthquake risk analysis: Students will use the datasets to conduct earthquake risk analysis using open-source software like OpenQuake or SimCenter Tools. The analysis will incorporate seismic hazards and vulnerability models to quantify risk comprehensively, e.g., probability of hospital disruptions in a given year, return period of hospital collapse.
- (C) Conceptualizing and assessing hospital system risk metrics: Students will review scientific reports and emergency response articles and define metrics to assess hospital system risk with the project mentors. The students will carefully examine what metrics can be estimated with risk analysis and use their results to quantify them. For example, students can assess the spatial distribution of post-earthquake hospital capacity to investigate potential disparities in hospital accessibility after earthquakes.
- (D) Visualizing hospital system risk: Students will generate visualizations to communicate their findings to stakeholders. An integral part of risk analysis is using results to inform policy, e.g., retrofitting hospitals. Thus, the students will carefully prepare visualizations to showcase their findings. Also, the students will draft recommendations for preparedness and risk mitigation in hospital systems, with guidance from their advisors.
Disaster Risk Analysis requires hazard, vulnerability, and exposure data. Data for hazard analysis will be provided. Vulnerability and exposure data will be provided partially. Students will work on completing and curating datasets for vulnerability and exposure. Specifically, the following will be provided:
- (A.1) Dataset with hospitals and their locations
- (A.2) Seismic hazard data
- (B.1) Dataset with hospitals, their locations, and their vulnerabilities. This dataset may contain proprietary information and be provided under an NDA.
- (B.2) Seismic hazard data
Students will require a background in statistics and risk analysis. Otherwise, they are highly encouraged to enroll in the Disaster Risk Analysis and Urban Systems Resilience Class (CUSP-CX 8006). Please get in touch with Professor Ceferino for further inquiries about competencies.
- Understand the data requirements for conducting regional disaster risk analysis
- Build skillsets for hands-on disaster risk quantification
- Develop risk communication and visualization skills relevant for policymaking in disaster risk management
- Documented datasets with hospital information to conduct disaster risk analysis
- Maps visualizing the risk study
- Presentations, including one with a wider audience from the World Bank
FloodNet - Computer Vision for Urban Street Flood Detection
- Maddalena Romano, Director, Data/Asset Management, NYC Department of Transportation
- Charlie Mydlarz , Research Assistant Professor, NYU CUSP
In NYC, sea level rise has led to a dramatic increase in flood risk, particularly in low-lying and coastal neighborhoods. Urban flood water can impede pedestrian and vehicle mobility, and also can contain a diverse array of contaminants, including fuels, raw sewage, and industrial/household chemicals. For this capstone project, the team will train, test and deploy computer vision (CV) and deep learning (DL) models for the detection of street flood events. Existing labelled datasets will be used for training. In addition, an unlabelled NYC street image dataset will be provided for labelling and training of a NYC centric model.
In NYC, sea level rise has led to a dramatic increase in flood risk, particularly in low-lying and coastal neighborhoods. Urban flood water can impede pedestrian and vehicle mobility, and also contains a diverse array of contaminants, including fuels, raw sewage, and industrial/household chemicals.
The FloodNet project is interested in evaluating whether a longitudinally deployed fleet of CV flood sensors can monitor urban flooding events in real-time. This data can improve resiliency by (1) allowing residents to identify navigable transportation routes and make informed decisions to avoid exposure to flood water contaminants, and (2) informing city agencies in targeting flood control improvements through data-driven decision making.
The Capstone team will train, test and deploy CV/DL models for the detection of street flood events. Existing labelled datasets will be used for training. In addition, an unlabelled NYC street image dataset will be provided. The labelling strategy of this dataset will be determined by the team. Unsupervised or weakly supervised DL approaches could also be explored.
The team will work through three stages:
- General flood detection model: The team will train and test a model built using existing labelled datasets. (40%)
- Literature review on privacy and ethical concerns: The team will complete a review on CV ethics/privacy concerns in urban sensing. (10%)
- Data cleaning/labelling and training of NYC centric flood model: Data collected from NYC streets including flood and non-flood imagery will be cleaned and labelled, then used to build a NYC centric flood detection model. (50%)
Existing labelled flood imagery datasets will be used in Stage 1 of the Capstone project. Stage 3 will involve the generation of a NYC centric dataset using existing unlabelled images collected from NYC streets in both flood and non-flood conditions.
- Dimensionality reduction
- Supervised learning
- Semi-/Weak-supervised learning
- Computer vision experience
- Good code and data management skills
- Python SciPy stack and PyTorch DL library
- Python programming (required for >=2 team members)
- Data processing pipelines
- Documentation
- Privacy and data
The team will be using a broad range of urban analytics approaches that will result in proven abilities in: computer vision, remote sensing, data science, and machine learning.
The expected deliverables for each project stage are:
- A model that operates with a given minimum performance level on the provided test data.
- A literature review on the ethical and privacy concerns surrounding urban sensing and CV solutions.
- The NYC centric model with performance levels exceeding a given threshold under varying real world conditions, including a new labelled urban flood dataset and associated tools for open sourcing on the data platform Zenodo.
All deliverables will be based around Jupyter notebooks and committed to a well documented public GitHub repository.
Hardening New York City’s Interdependent Water and Energy Infrastructures Against Climate Change and Cyberattacks
- Charalampos Avraam , Smart Cities Postdoctoral Associate, NYU CUSP
- Yury Dvorkin , Assistant Professor, NYU CUSP
Extreme events stress New York City’s (NYC’s) interdependent water and energy infrastructures; impact human livelihood; and can disrupt local ecosystems. The dependence of water and wastewater operations on power implies that a blackout, coupled with backup system components’ failures, can force the discharge of untreated wastewater into NYC’s waterways, and result in a public health emergency. Data-driven and optimization techniques can leverage publicly available data to reveal vulnerabilities in electricity, water, and wastewater infrastructures. Our analysis can aid policy design against natural hazards and cyberattacks, and thus inform the modernization of interdependent urban water and electricity infrastructures.
This project aims to identify supply chain vulnerabilities of New York City’s physical water and wastewater infrastructure; understand water-energy interdependencies; and inform resilience policies against natural disasters. The project will:
- Provide a water and wastewater management framework which integrates publicly available databases.
- Assess vulnerabilities and inform water and energy infrastructure policy design in New York City against extreme events and potential cyberattacks.
Students will collect and process data either on water supply chains (i.e., from reservoirs to NYC water consumption), or on wastewater supply chains (i.e., from water consumption and drainage to wastewater treatment). Between February and May, students will integrate databases that include water consumption and technical features of reservoirs, tunnels, the drainage system, and wastewater treatment facilities. Between May and August, the students will use optimization, statistical methods, machine learning, or a combination of techniques to identify critical assets, interconnections, or spatial and temporal interdependencies with the electricity sector within the water and wastewater supply chains that are vulnerable to disruptions. This project will provide comprehensive databases of the different components of New York City’s water and wastewater infrastructures.
- New York City (NYC) aggregate water consumption
- NYC Aggregate Population
- NYC water consumption per capita
- NYC population by zip code
- Energy and Water Data on privately owned buildings over 25,000 ft2 and in City-owned buildings over 10,000 ft2
- Wastewater treatment facilities & sewersheds
- Map of reservoir capacities
- US county-level water use
- US county-level water and energy use data
- Reservoirs capacity
- Capacity of Tunnels 1, 2, & 3 (billion gallons per day)
- Knowledge of Python, R, Julia, Matlab, other data-processing languages, or Excel.
- Familiarity with statistical, optimization, or machine-learning inference methodologies.
- Familiarity with data-visualization tools in R, Matlab, Python, Julia, or other language.
Through this project, the candidate(s) will:
- Integrate and analyze large datasets to provide a comprehensive dataset which include interconnected operations within water supply or wastewater infrastructures.
- Broaden their understanding of the economic, environmental, and health impacts of failures in modern urban water and wastewater infrastructures.
- Identify spatial and temporal vulnerabilities of urban water infrastructures against potential natural hazards and cyber threats and provide policy recommendations.
Modernizing Organics “Collection” for Managing the City’s Municipal Solid Waste and Achieving Zero Waste Goals
- Terri Matthews, Director, Town+Gown : NYC Urban Resource Recovery Working Group (NYC Department of Design and Construction)
This capstone will develop a data visualization tool to illustrate the lifecycle costs and benefits of leveraging late 20th century technology to solve a 21st century problem—the need to achieve zero waste and reduce CO2 emissions– as compared to the current use of 19th century (and earlier) technology.
The City’s current policy for residential organic food waste diversion has been a voluntary composting initiative with Department of Sanitation (DSNY) pickup in certain neighborhoods. This policy relies on 19th century (and earlier) technology whereby people collect refuse for pick up and transportation by truck. The future policy debate is likely to be about whether to mandate residential organics diversion on a citywide basis with citywide DSNY pickup and transportation. The multi-year voluntary organics curbside collection program has not been cost effective, with approximately half of the City’s municipal solid waste (MSW) going to landfills. To reduce total program costs below current costs would require either a diversion rate of about 30% or a lower diversion rate with reducing processing costs, with associated increased operation costs, before seeing reductions in the distant future. All this would require a long-term concerted effort prioritizing organics diversion, possibly through fines, and changing residents’ behavior.
At no time has there been consideration of leveraging late 20th century technology, in the form of food waste disposers (FWDs), commonly known as “in sink” garbage disposals, to process organics as a means to reduce CO2 emission and achieve “zero waste” goals. Since October 1997, the City has permitted residential households to install FWDs. A study of the impact for FWDs in the City’s combined sewer areas , assuming FWDs would be installed at a rate of 1%/year, found de minimis increases in City sewer maintenance costs, water consumption, wastewater treatment and biosolids handling costs, water rates, and negative impact on surrounding waters, and costs savings from solid waste export reduction. As of 2008, it was estimated that less than 1 percent of NYC households had installed FWDs .
The benefits and costs of expanding FDWs at food service establishments, studied in 2008 , would apply to mandated expansion of residential FDWs as an alternative to mandated citywide organics diversion. Benefits would include efficiency with related cost savings at the residential sites; associated reductions in municipal truck trips, with labor cost savings, and localized reductions in truck traffic; and beneficial end re-use of food waste, at the city’s water pollution control plants, now rebranded as wastewater resource recovery facilities (WRRFs), with some increases in digester gas, which, with capital investment to modify the WRRFs, could be reused in WRRF boilers to provide heat for the treatment process (cogeneration), with elements of resulting biosolids available for other beneficial end uses, some with commercial applications, and associated revenues. Costs to be balanced against benefits include incremental water use increases; increased sewer maintenance costs and the potential for sewer backups, which until the City resolves its combined sewer overflow problem could result in increased discharges during heavy stormwater events into surrounding waterbodies; and increased capital investment at the WWRFs.
This project will use publicly available Department of Buildings plumbing permit data for Downtown Brooklyn and Long Island City and associated publicly available DSNY and Department of Environmental Protection operations and capital cost data. Additional city-produced reports and studies from other cities that have mandated FDWs will be sources of additional data.
All students should have proficient data analytic skills. An interest in zero waste and large system operations would be helpful.
The deliverables will be an interactive visualization of a comparative lifecycle cost benefit analysis of the two types of organics diversion technology and a final report that provides the methodology and analyses used and findings.
- As part of the research component, the students will gain a deep understanding of the City’s municipal solid waste problem and its operations under aspirations to reach zero waste goals.
- This data manipulation and visualization will enable the students to use all data analytic skills learned to date and possibly require them to pick up other techniques required by the project.
- If time permits and the students develop theories, students will also develop performance metrics and predictive models.
Virtual and Augmented Reality for Community Preparedness to Disasters
- Qi Sun , Assistant Professor, NYU Immersive Computing Lab
- Luis Ceferino , Assistant Professor, NYU Disaster Risk Analysis Lab (DRAL)
- World Bank’s Global Program for Safer Schools (GPSS)
This project will create physically realistic virtual and augmented reality (VR and AR) environments that represent extreme events such as wildfires, floods, landslides, winds, and earthquakes affecting our communities. The project will use these environments to show how resilient infrastructure and response preparedness in a disaster can significantly reduce the probability of physical and human losses. The virtual environment will then be deployed to VR/AR devices for egocentric and immersive viewing. The project will be led by the NYU Immersive Computing Lab, NYU Disaster Risk Analysis Lab, and the World Bank’s Global Program for Safer Schools (GPSS). The project’s main goal is to raise awareness and prepare our communities to respond to extreme events using immersive realities to enhance the effectiveness of drills, such as evacuating during floods.
The project will focus on building AR/VR environments for floods and earthquakes and assessing/surveying people’s responses to them. Students will select the infrastructure of interest (e.g., schools, hospitals) according to their interests and data availability. The project will have three parts:
- Building an augmented reality environment for floods*: Students will create an augmented reality environment to represent floods with data from New York City. Using 3D building data, flood records, and projections for sea-level rise, the students will create urban flooding environments useful for testing community response and decision-making, e.g., during evacuations.
- Building virtual reality environment for earthquakes*: Students will use existing data on building response to earthquakes to create a virtual reality environment with buildings shaking during an earthquake. Students will develop these environments for different earthquake magnitudes and shaking levels to assess vibration and overturning of non-structural elements in the building and damage in the structural elements.
- Surveying human response in virtual reality environments: Students will test the effectiveness of these immersive environments by designing a survey to assess their experience. Results will be compared with interviews for people who witnessed the floods during Hurricane Ida in 2021.
*VR/AR environment interactivity will be explored.
- 1.1) 3D building data for NYC
- 1.2) Flood records, maps, and projections
- 2.1) Building shaking records during earthquakes
Students will require a background in immersive reality, with experience in Unity. Otherwise, they are highly encouraged to enroll in the Urban Data Visualization Class. Please contact Professors Ceferino or Sun for further inquiries about competencies.
- Build skillsets for virtual and augmented reality system engineering with a focus on floods, winds, or earthquakes
- Gain experience in performing subjective studies with broader applications such as UI/UX.
- Gain an understanding of quantitative and data-driven methods to analyze disaster consequences, such as deep neural network-based statistical models.
- Augmented and virtual reality environments for floods, winds, or earthquakes
- Summary of survey findings
- Final presentation including one with the World Bank’s larger audience
City of Bogotá: Data Driven Door-to-Door Care
- Diana Rodríguez Franco, Secretaria de la Mujer, Office of Women’s Affairs, City of Bogotá
- Stefaan G. Verhulst, Co-Founder and Chief Research and Development Officer, The GovLab
The Office of Women’s Affairs is looking to make its Care System innovative in its objectives and how it uses data. The Care System is an initiative to reach female caregivers living in dire conditions. It brings services directly to those who often cannot leave their homes because of their domestic workload. Primary caregivers receive certified skillset training, well-being activities, and become part of community-building networks with professional facilitation. Others receive care and services to develop their autonomy. Importantly, the initiative is delivered to those in need and provides evidence on the value of redistributing care for closing gender gaps and economic recovery. That’s where data comes in.
Women’s “time poverty” is a structural cause of gender inequality. In Bogota, the unpaid care burden falls disproportionately on women, reaching alarming proportions: 30% of Bogota’s female population are full-time unpaid caregivers. 90% of them are low-income and 33% lack time for self-care. In 2020, we launched Bogota´s Care System to address these challenges. Bogata would now like to expand its efforts by providing primary caregivers with certified skillset training, well-being activities, community, and other services to develop their autonomy.
For six months, Capstone students will use data-driven methods to understand program impact and identify new ways to increase traffic to facilities used for this work. Students will support the Office as it:
- Hosts a consultation with beneficiaries in a mini-public format to understand which care issues and metrics of success it should prioritize. This consultation will be inspired by The GovLab’s Data Assembly and 100 Questions;
- Launches a data collaborative with non-traditional data holders across the city (e.g. telecom operators) to reuse the data needed to subsequently measure these prioritized issues (such as traffic to care centers);
- Applies the analysis in the form of real-world data-driven experiments to increase the uptake of services – leveraging a baseline and compare it post interventions. Experiments could include communications campaigns or changing how and where services are deployed.
This work will support Bogota’s Women and Gender Equality Policy. Students will be overseen by the Secretary of Women’s Affairs and a coordinating team.
Students will have access to the survey and interview data that the Office collects to measure the average hours per month that women dedicate to unpaid care work, data on the gender gap in unpaid work between men and women, and the number of services the caregiver has accessed before entering into the program as well as the number of services the caregivers and people they care for have access to before the implementation of the program.
Following a mini-public with beneficiaries, students will also work with the Office as it collaborates with a private-sector data holder to access its data for assessment purposes. This data might include telecom data which could be used to map and understand how caregivers move through the city or some other proxy.
- Spanish language proficiency is a plus
- Familiarity with issues facing women and caregivers
- Community engagement skills
- Data analytical skills
- Experimental design competencies
- Students will learn how to conduct monitoring and evaluation work to ensure the success of the Care System;
- Students will learn to apply alternative datasets for the purposes of public policy and discover the role that data collaboratives can play in matching the supply and demand of data;
- Students will learn how to engage with citizens around the “questions that matter” in ways that support Bogota’s efforts to restructure itself around care economies and better reach caregivers in dire conditions.
Community Economic Recovery Tool
- Palak Agarwal, Data Scientist, US Ignite
- Praveen Ashok Kumar, Technical Program Manager, US Ignite
The COVID-19 pandemic has only exposed the existing health, economic, and social challenges within the county, and have highlighted the need to be prepared for such events in the future. Governments of all levels are tasked with easing the burden that citizens and local businesses face. To address this challenge, we propose to create an “Economic Recovery” tool that offers real-time strategies to community leaders recovering from COVID-19 shocks and can be used post the recovery to identify other underrepresented communities.
Using the data we aim at producing four major tools:
- Quarterly Unemployment Forecast would be created using a thorough exploration of time series, cross sectional, and deep learning models.
- Economic Vulnerability Index would be used to highlight the significant economic inequality facing the city and constructed with an Principal Component Analysis.
- Industry Health Index would allow leaders to understand the extent to which different industries have been impacted by the pandemic and previous economic shocks, using a Factor Analysis.
- Economic Opportunity Zones would allow leaders to identify zones within the city where new businesses can be introduced to help with the economic value of the area.
- Federal: Data sources look into federal sources across cities/county/congressional district levels from all agencies to see how it trickles down into the society. Some of the sources include ACS Community Surveys, Bureau of Labor Statistics, LODES, OnTheMap, Small Area Income and Poverty Estimates (SAIPE) Program, SVI, Federal funding, etc.
- State: Data sources look into the state’s open data portal to look for data with finer spatial granularity. Some of the sources include certificate of use, business licenses, zoning districts, public transportation systems, Redlining zones, etc.
- Private: Data sources look into the private sources of data to add more detail into the model. The data includes real estate data, business data and user traffic patterns.
Insightful thinking, geospatial knowledge and an interest to understand urban economic data sources.
After the analysis is complete and available on the dashboard, city departments will be able to use it to identify any funding gaps. The dashboard allows the officials to overlay and understand multiple variables at once, while the data will be automatically updated monthly, giving local officials a chance to understand effects of policy changes within a neighborhoods or congressional. Apart from the city officials, we want the residents of the city to have access to the data as well. This will help them understand the employment patterns within different industries which can be very beneficial. The economic opportunity zone can be used to set up new small businesses and mom and pop shops to have maximum footfall and chance of succeeding.
Democratizing New York City’s Urban Development Processes
- Dana Chermesh-Reshef, CEO and Founder, inCitu
New York City’s current planning process is a jumble of information on the websites of various community boards in different boroughs. There is no unified source of truth that various stakeholders like developers, city planners or concerned citizens can access this information through. Through this project we’d like to create a unified dynamic map for New York City highlighting city planning projects in flight along with citizen comments and concerns on them.
The purpose of this project is to take the otherwise opaque city planning process during the public review phase and make it transparent and easily accessible to all. Through this project, we aim to build a publicly available, dynamic map that will showcase various planning projects in flight throughout New York City, as well as citizens’ concerns and comments on said projects. This will help to democratize the process of urban development and will be of use to various stakeholders like developers, city planners, citizens, and elected representatives. The current information on various planning projects is available via the websites of various community boards throughout New York and requires hours of searching to find relevant information. Through this process, citizens could access city planning information in other community boards and see how projects were greenlighted or citizen participation brought them to a halt. Developers could also look at our map and decide on how to alter their projects by searching for similar projects that might have faced obstacles and how to rectify them in their proposal.
- Different Websites of NYC Community Boards Example: a project under review inside of the Land-use page at MN CB5’s website
Project management, data visualization, data engineering, modeling
- A unified, analyzable dataset of ongoing planning projects across NYC.
- A publicly available map listing out planning projects under review New York City (deliverable that can also be used in personal portfolios).
- Better understanding of New York City’s complex city planning process.
Informing Policymakers On State Level Supplemental Security Income Support
- Dani Hochfellner , Adjunct Assistant Professor, NYU CUSP
- Mary Hamman , Professor of Economics, University of Wisconsin La Crosse
Supplemental Security Income (SSI) is a federal social safety net program that provides cash payments to disabled persons and adults over age 65, who are very low income. Many states offer SSI payments, but the information about these supplements is contained in text-heavy historical reports. It is difficult to show how support varies from state to state and over time. The proposed project will involve text analysis of historical reports, construction of performance metrics, and designing a public facing visualization to convey clear and objective insights about the SSI program on a state level to inform policymakers and the public.
Policymakers, researchers, and the public lack information about state support for the population that receives Supplemental Security Income (SII). This lack of information hampers policy making, research on program efficacy, and public understanding and awareness of the program. The information needed to address this gap is provided in text-heavy historical reports with too much programmatic jargon and little time-series or state-to-state comparisons. This proposed project aims to gather the hidden information with the goal to provide an overview for policymakers to better understand the impact of the SSI program. Information will be extracted using natural language processing algorithms. The final deliverable of the project is a public facing dashboard/visualization that will help guide policymakers in future program decision making. This project is a collaboration across multiple academic institutions, thus the project will be fully remotely.
Publicly available administrative data.
Students should have the following competencies:
- Python or R, some experiences with extracting text from documents
- Interest in public policy and social support systems, creating dashboards
Students will learn how to perform text analysis on documents, extract content from document by using natural language processing algorithms. Students will also learn how to design intuitive visualizations. Student will learn how to present results for different audiences.
Measuring Geographic Distribution and Predictors of Variation of Over-Policing Across NYC
- John Pamplin , Smart Cities Postdoctoral Fellow, NYU CUSP
- Spruha Joshi, Postdoctoral Fellow, Center for Opioid Epidemiology and Policy (Dept. of Population Health, NYU Grossman School of Medicine)
Mass incarceration is a well-recognized public health issue and driver of racial inequities. However, focusing on arrests and subsequent incarceration underestimates the totality of police-community member interactions, and risks obfuscating the full magnitude of disproportionate policing within a city. This project will use publicly available NYPD policing data on multiple endpoints of policing (e.g., arrests, desk appearance tickets, criminal summons) to construct a geographic visualization tool to assess the burden of policing across neighborhoods and time in NYC. Through data linkages with the American Community Survey, this tool will allow for the investigation of predictors of over policing within NYC.
The relationship between communities and police has received a lot of attention following multiple high-profile fatal police shootings of unarmed people of color. The disproportionate burden of police violence and the over-representation of Black and Brown people in correctional facilities has raised large questions regarding the unequal policing of communities. Though some investigators have begun to interrogate the impacts of over-policing, few include the broader set of police interactions not captured by arrests. Furthermore, current data structures severely hinder progress towards understanding variations in exposure to policing across time and place. Understanding how policing varies across communities is a critical first step in reducing the burden of over-policing among those disproportionately impacted. The goals of this project are to a) assess geographic and temporal variation of policing in NYC by constructing a geocoded mapping tool of policing interactions, and b) identify predictors of variation in policing burden by constructing predictive models using data from the American Community Survey.
Participating students will create a single, column-oriented database of publicly available NYPD policing data (from 2013 – 2021) on a range of policing end points (e.g., arrests, court summons, desk appearance tickets). Students will geocode the data and create an online mapping tool that will illustrate variations in policing burden across NYC. Finally, students will be asked to link the database to publicly available data from the American Community Survey and build predictive models to identify geographic and sociodemographic predictors of increased policing burden in New York City.
The primary data for this project will be a composite of multiple publicly available NYPD policing datasets. NYPD historic arrests data contains over 5 million individual arrests with date and location data ranging from 2006 to 2020. Additional datasets provide analogous information on cannabis court summons, desk appearance tickets, criminal summons, and stop-question-frisk incidents. Metadata is available for each indicator at the precinct and quarter level for the first three quarters of 2021. Policing data will be linked to census data from the American Communities Survey, including but not limited to racial/ethnic composition, poverty, etc.
The ideal student for this project would have strong data science and programming skills, specifically as it relates to geocoding data and building a dashboard and/or web tools (e.g., R shiny apps). Additionally, students should have basic analytic skills and understanding of predictive model building. Lastly, experience with data visualization and spatial analysis will be especially useful for building the map-based web tool.
There are three expected deliverables that will result from this project.
- Creation of mapping/visualization tools showing the geographic distribution of manifestations of NYPD police interactions (e.g., arrests, cannabis court summons, criminal summons, desk appearance tickets, stop-question-frisks) at varying levels of granularity in NYC (e.g., precinct, census block).
- Creation of a column-oriented database to store and access complied NYPD policing data linked to data from the American Community Survey.
- An analytic model identifying geographic and sociodemographic predictors of increased exposure to policing in NYC.
Repairing Dallas: Leveraging data to improve housing quality
- Ashley Flores, Senior Director (Housing), Child Poverty Action Lab
- Owen Wilson-Chavez, Senior Director (Analytics), Child Poverty Action Lab
Substandard homes severely impact resident wellbeing: deficient housing quality is associated with asthma and respiratory illness, lead poisoning, accidental injury, anxiety and depression, and poor academic outcomes. Data on housing quality is limited to MSA-level estimates of housing adequacy and subjective assessments by the local appraisal district, so it’s difficult for housing advocates to understand where housing quality issues are most acute and how to direct resources for repair. The project purpose is twofold: (1) identify neighborhoods in Dallas where there is poor housing quality and (2) develop a sampling and surveying approach to collect granular data within high-repair neighborhoods.
Housing quality matters for the mental, emotional, and physical health of residents, but the 2019 American Housing Survey reports that 27,600 housing units in the Dallas-Fort Worth Arlington MSA are severely inadequate. Research indicates that housing quality issues are more severe for people of color, people living in poverty, single parents, and renters. Although there is great need within Dallas’ housing stock, we lack actionable data to elevate the issue of housing quality, better direct limited resources, and advocate for more resources to ensure Dallas residents have a healthy home. Through this Capstone project, we hope to leverage existing datasets to design a methodology for calculating housing quality at a smaller geographic unit in order to identify neighborhoods in Dallas where there is disproportionately poor housing quality that needs to be remedied. This could take the form of a housing quality index that contemplates various data sources and takes into account both renter- and owner-occupied units. In addition, the CUSP team will estimate the cost of housing repair needs in Dallas (see 2019 report from the Philadelphia Fed entitled, Measuring and Understanding Home Repair Costs, as an example using 2017 AHS data). Finally, the CUSP team will develop a sampling and surveying approach to collect more granular data within neighborhoods indicating a high need for repairs. This framework can then be deployed on-the-ground in Dallas in target neighborhoods to better understand specific needs and direct resources, like home repair programs, to units where they’re most needed.
Datasets available for this project include Dallas Central Appraisal District property-level data, the Census Bureau’s bi-annual American Housing Survey, the American Community Survey (for relevant household data), CoStar multifamily data (e.g., property class, unit features — like A/C, and property age), and City of Dallas code violations. Other potential datasets include multifamily and single family rental inspections by the City of Dallas, units with failed inspections from the Dallas Housing Authority, and MLS property listing data. Potential datasets require additional steps for CPAL.
Specific skills that would be useful for students to have include spatial analysis and regression, econometric modeling, hedonic and/or multilinear regression, and sampling design. Nice-to-have is some understanding of housing quality/adequacy and its impact on residents.
Expected deliverables include:
- A descriptive analysis of housing quality in the City of Dallas, e.g., through the creation of a housing quality index applied to the smallest geographic unit possible;
- An estimate of what existing home repairs in the City of Dallas cost (see 2019 report from the Philadelphia Fed entitled, Measuring and Understanding Home Repair Costs , as an example using 2017 American Housing Survey data);
- A sampling and surveying framework that can be used on-the-ground in neighborhoods to collect unit-level data on housing quality and repair needs. If travel to Dallas is permissible for fieldwork, students could visit to test the sampling and surveying framework in a neighborhood that indicates high need based on the housing quality index. If travel is not permissible, CPAL staff or volunteers will use the framework for data collection efforts.
Simulating Interactions with Visually Impaired
- Maurizio Porfiri , Institute Professor, NYU Dynamical Systems Laboratory (DSL)
Urban environments represent particularly dire challenges for the mobility of the visually impaired, who must travel complex routes in often crowded and noisy conditions with limited to no assistance. To help visually impaired regain their independence, they are offered orientation and mobility training (O&M). However, O&M training represent a risk to the visually impaired, as it exposes them to dangerous situations and falls. We seek to overcome this issue by simulating O&M training in virtual and augmented reality (VR/AR), in which trainers and trainees interact within a safe and controlled environment that simulates part of a city.
Visual impairments will become a preeminent public health issue, as more baby boomers turn 65 and older. To reduce the impact of these disabilities on mobility, visually impaired attend orientation and mobility training (O&M) sessions, in which they learn techniques to travel safely within their community. These techniques include how to use a white cane, walk in a straight line, or cross an intersection in urban environments. Clearly, O&M training exposes visually impaired to potentially serious harm, including accidental falls, and undesired contact with people and objects.
Our previous work demonstrated that a virtual/augmented reality (VR/AR) platform can help overcome these dangers. Trainees can learn and practice new O&M techniques in a completely safe environment, before translating them in the real world. However, our previous study focused on a single player platform, which did not allow virtual interactions between trainers and trainees.
In this Capstone Project, students will extend our previous work by implementing a VR/AR multiplayer platform in which two users (trainer and trainee) interact in a virtual environment. VR/AR will be exploited to simulate visual impairments in the trainee. Students will design an O&M training in a highly dangerous realistic environment, such as a busy intersection in NYC, and implement it in VR/AR. They will formulate and perform hypothesis-driven experiments with human subjects, toward investigating technology-mediated interaction in training sessions. Ultimately, we aim at demonstrating the potential of a multiplayer VR/AR platform to train visually impaired persons in O&M techniques in a controlled, safe environment.
No datasets required.
- Programming (preferably Unity, C#, and Python)
- Data analysis and visualization (using R, Python, or MATLAB)
We are looking for highly motivated students with a passion to explore and learn new concepts and ideas that range between engineering and medical science. Students should also show a keen and strong interest in rehabilitation and human-computer interaction.
- Students will learn how to develop advanced VR/AR platforms for future experiments;
- Students will learn to design experiments involving humans and their technology-mediated interaction;
- Students will learn to formulate and test research hypotheses in a statistical framework.
Trustworthy AI for Human Machine Interface
- S. Farokh Atashzar , Assistant Professor, Medical Robotics and Intelligent Interactive Technologies Lab (MERIIT @ NYU)
- Jackie Libby , Smart Cities Postdoctoral Associate, NYU CUSP
We exist in a world with advanced AI, yet there is a lack of AI for assisting disabled populations who cannot achieve basic manipulability functions. This project will be to develop trustworthy Machine Learning models to to address existing problems of human-machine interfaces.
This research project will try to answer whether: 1) AI models can be trained faster to exclude the need for high-performance computers; and 2) if calibration can be minimized for new users so that neuro-robots are easy to use and ubiquitous in less-developed regions.
For this, we will develop a new biosignal processing pipeline using artificial intelligence, specifically a shallow-hybrid neural network, which includes an engine for modeling long term and short term dynamical dependencies in the signal space. The model will be tested in comparison with exiting state-of-the-art algorithms that we have developed in the last years. For this, data will be used from large datasets available to us. There is a potential possibility of involvement in data collection, depending on the academic and research background.
Students are more than welcome to contact [email protected] with questions. See one of our recent efforts with applications in neurorobotics for more context.
We will use available large data sets on high-density electromyography and will try to predict the intended gestures. The data set includes high volume of signals collected from the upper limb of ~50 human subjects.
Academic/research background in machine learning and/or signal/data processing is encouraged.
Signal Processing, Deep Learning, Human-Machine Interface
Understanding Public Opinion About the Police in New York City
Defunding the police is a polarizing topic that is on the rise in the United States. Public opinion is generally divided due to controversial recent events that have involved law enforcement officers (LEOs). However, how we perceive or not violence around us likely contributes to our own assessment of LEOs’ necessity. In this project, we seek to carry out an analysis about the interplay between these two factors to study if violent incidents, whether from LEOs or criminals, shape the opinion of New York City (NYC) inhabitants.
Recently, public opinion has been inflamed by controversial police actions, in particular, by the use of excessive force to maintain public order. However, other factors are at play in defining public opinion to police. On one hand, violent episodes might have generated opposition to police. On the other hand, an increase in local crime could have fueled the demand for stricter law enforcement.
In this project, we seek to understand how local crime and incidents of police brutality contribute to shape public opinion. NYC is a great framework to investigate this relationship, due to its abundant data. To this end, we will undertake a massive data collection effort, by cataloguing tweets, which will allow us to track public opinion citywide using machine learning techniques for sentiment analysis. To obtain an accurate description of citywide violence, geolocated data on crimes will be collected from NYC Open Portal and NYPD databases. For the brutality episodes involving LEOs, we will build a dataset relying on Washington Post fatal police shootings and crowdsource databases.
We will test hypotheses that entail the driving forces behind public opinion: i) “Does the increase in crime rate lead to an increase in police supporters?”; and ii) “Does an increase in police brutality lead to higher support for defunding of police?”. We will apply parametric and non-parametric statistical tools to test our hypotheses and elucidate the emergence of spatio-temporal patterns. The results of the study will shed light on drivers of public-police relations and provide evidence to reform policy-making.
- Geo-located local crimes from 2006 to 2020 will be obtained from the NYC Open Data Portal
- NYPD keeps records, on an hourly basis and on a street level of all the various crimes committed in NYC from January 2020 up to date
- Washington Post records police killings from 2015 up to date with geolocation
- Official CAPstat registers payroll info, disciplinary summaries, and federal lawsuits from 2015 to 2018
- Mapping Police Violence Initiative from 2013 up to date
- Fatal Encounters Initiative from 2000 up to date
- Tweets will be collected using the official Twitter API with the help of Python package Tweepy and through The Ohio State University software Hydrator
- Older tweets will also be collected through web scraping through Twint GitHub initiative .
The Sentiment Lexicon dictionary from the University of Pittsburgh and the dictionary of sentiment words from Bing Liu and collaborators (University of Illinois Chicago) will be used for the sentiment analysis.
- Data extraction and web scraping (preferably Python or R)
- Data analysis and visualization (using Python, R or Matlab)
- Programming (preferably Python, R, or Matlab)
We are looking for highly motivated students with a passion to explore and learn new concepts and ideas, and with an interest in social media, sentiment analysis, and data science.
- Students will learn data collection and pre-processing methods and their importance.
- Students will be trained in the scientific method approach and hypothesis testing, and they will learn data modeling tools for analysis purposes.
- Students will learn to apply traditional tools of temporal analysis and information theory.
Challenges and Solutions for Walking with Assistive Wearable Robots in Urban Environments
- Joo H. Kim , Associate Professor, NYU Applied Dynamics and Optimization Laboratory
The goal of this Capstone project is to identify challenges for the locomotion of persons with lower-limb disabilities who use wearable robots (powered exoskeletons, prosthetics, etc.) for gait assistance. In particular, this capstone will focus on those related to urban environments, and possible solutions to overcome those obstacles. One of the reasons that wearable robots are not commonly used is the discrepancy between the challenging environment in real world as compared to well-controlled laboratory settings. In this capstone project, these under-explored aspects will be investigated.
Despite their recent advancement and growing demand, wearable robots (such as robotic exoskeletons and prostheses) developed for gait assistance for persons with lower-limb disabilities or older adults are still confined to laboratory settings. One of the main reasons for this is the challenging outdoor conditions and environmental hazards linked to outdoor falls, particularly in complex urban environments. Examples are poor snow/ice clearance and poorly maintained streets and sidewalks.
In this Capstone project, the factors that affect the usability and safety of gait-assistive wearable robots will be identified, and their possible solutions will be investigated. Broad range of aspects can be considered to identify the challenging factors, including but not limited to the perspectives of infrastructure, engineering, urban planning, and human factors. Any possible solutions can be suggested to enhance the reliability of assistive robots with respect to the urban hazards as related to stumbles, slips, and falls outdoors.
The students may use any publicly available datasets as related to this problem.
Graduate standing.
- Identify factors that adversely affect the safe use of gait-assistive wearable robots.
- Possible solutions to those challenging factors.
Mapping Agricultural Production in NYC (M.A.P. NYC)
- Wythe Marschall, Senior Research Project Manager, Food and Health, Invest NYC SDG (an initiative of the NYU Stern Center for Sustainable Business)
- Alice Reznickova , Ph.D., Industry Assistant Professor, NYU Tandon School of Engineering
To support an expanded, more just, and self-sustaining urban agriculture sector, Mapping Agricultural Production in NYC (M.A.P. NYC) is using data science to conduct research into NYC’s current food production and distribution. Having created the M.A.P. NYC platform in 2021, the project team is seeking CUSP students to employ this tool to research gaps and opportunities in the local food landscape, analyzing links between urban agriculture and food security status, health outcomes, and land use. Specifically, we seek to set a baseline for agricultural production as a policy recommendation to the new Office of Urban Agriculture.
Mapping Agricultural Production in NYC—M.A.P. NYC—is a tool for farmers, gardeners, researchers, politicians, and food activists that shows all existing food production in the city, whether commercial, non-profit, community, or school-based. M.A.P. NYC displays key food production and distribution data, and each entry is editable by verified users approved by the corresponding farm or garden.
In 2022, we are seeking a CUSP team to use the M.A.P. NYC tool to conduct research into the urban agriculture sector and its links to food security and land use. This work entails a strong research component as well as a light platform-maintenance one, as we seek to extend the utility of the tool and continue to manage the influx of data from growers.
First, we are seeking a team of data science students to analyze the available data and establish the baseline of what foods are produced in NYC, and to inform reasonable estimates about the future growth of the urban agriculture sector over time. Second, we would ask the data team to identify specific urban farming opportunities and distribution gaps. That is, we seek to improve food security in NYC by laying a foundation for an expanded urban agriculture sector, and specifically by establishing how to support urban farming in low-income neighborhoods.
Successful CUSP work will result in a data-driven report on the present and future of the urban agriculture sector in NYC with special attention to policy recommendations and opportunities to meaningfully improve food security.
The M.A.P. NYC tool may be extended by the new CUSP team. The current datasets that power the tool include:
- GreenThumb gardens (NYC OpenData)
- GrowNYC website list
- NYCHA garden dataset (provided by NYC Parks)
- School gardens (provided by GrowNYC)
- Potential garden locations (Local Law 46, 2018, via NYC OpenData)
- Survey of ~100 large (commercial) farms and gardens
- Community garden list curated by 2021 CUSP team
- All retail food stores (NY State Open Data)
- SNAP retail stores (USDA Food and Nutrition Service)
- Food pantry locations (provided by City Harvest)
- DOHMH Farmers Markets (NYC OpenData)
- 2018 NYC PLUTO tax lot data (from DCP)
- Health and demographic data (from American Community Survey via Data2Go)
- NYC Subway stations (NYC OpenData)
- CDC Physical and Mental Health Data (CDC Open Data)
The CUSP team should possess a command of relevant data science concepts and skills, including database management, statistics (including linear and nonlinear regression), and data analysis (Python).
Regarding the map tool, ideally, the 2022 team would also include a software engineer/developer with some full stack experience (Node back-end, Mongo database, React-hooks or Vue front-end) and some visualization experience (Mapbox GL, minimal D3). Spatial statistics (Turf) would be a plus. Basic web design skills, for maintenance of the tool, are also required, although the focus of this project is research.
Comfort with and interest in physical and human geography as well as visual design are important, although domain expertise in these areas, along with agriculture and the social sciences, are not required. The project managers will provide an introduction to research in food systems studies as well as facilitate contacts among farmers, gardeners, and other stakeholders as required by the CUSP team’s research plan.
The team should expect to attend weekly meetings by Zoom and collaborate on research documents using the Google Workspace suite of tools.
The CUSP team will learn to collaborate across disciplines, bridging data science into food studies, business anthropology and sociology, critical geography, urban design, and user experience design. Large and dynamic datasets will inform the construction of a research methodology into the urban agriculture sector’s present character and possible future paths. The tool—a public, visual map—will serve as both a resource for research as well as an object to be improved by research.
In terms of social scientific research outcomes, the CUSP team will learn to develop and refine a clear research question regarding food and society, focusing on the role of urban agriculture. The CUSP team will develop a methodology for correlating urban agriculture data with data regarding other social phenomena (e.g., neighborhood-specific food security, neighborhood-specific health outcomes), as well as identifying and categorizing opportunities for novel urban farms and their likely impacts on health.
This research process will culminate in two deliverables: one, a report that summarizes research findings with an eye toward policy recommendation and also points to future research needs, including methods for addressing any gaps identified in the data. Two, the CUSP team will update the M.A.P. NYC tool as possible in response to their research findings (e.g., improving the visualization of gaps and opportunities and/or adding new layers of data on socioeconomic indicators).
Shape Estimation and Data-driven Intelligent Control of Soft Robotic Upper-limb Exoskeletons for In-home Telerehabilitation
In our aging society, neuromuscular disorders like stroke are becoming more prevalent. With that comes an increasing need for labor-intensive physical therapy, which is prohibitively expensive for many patients in need, resulting in long-term paralysis from lack of appropriate care. Soft robotic exoskeletons can deliver safe, in-home, and quantifiable teletherapy for these patients. We are building a soft exoskeleton to control the hand, wrist, and elbow. We are fabricating, sensorizing, and controlling soft modular actuators. Shape estimation and control of soft robots is nontrivial. In this project, CUSP students will work with us to fabricate soft robots and train machine learning models for shape estimation and data-driven control.
In the MERIIT lab, we are building a soft robotic exoskeleton for telerehabilitation. It has over 15 degrees of freedom (DOF). Each DOF is controlled by a soft module, custom-made in our lab with 3D printing and casting, and pneumatically controlled.
Soft robotic actuators are continuum robots. The kinematics of rigid robots can be captured by simple encoders. The kinematics of soft robots must be modeled with many more parameters. These models are unknown, subject to uncertainties and unmodeled dynamics. Thus, the control of these complex systems is a challenging problem. For a rigid robot, the reference commands can be analytically calculated. With a soft robot, machine learning and data-driven modeling combined with analytical computation can be used to map the reference commands to the resulting shape.
Students will be given experimental data from our soft robotic modules. The data includes pressure inputs from the pump station and optical data from cameras. They will clean and process this data and then build machine learning algorithms. They will use computer vision to perform shape estimation. With self-supervision, the shape labels will be used to train a model. The model will take pneumatic pressure commands as input, and it will output the resulting shape of the soft module. Students will also get involved with soft robotic fabrication, controls, sensorization, processing of other biosignals in our lab, and the corresponding learning techniques.
We have collected data on the kinematic behavior of a large amount of soft robotic actuators being custom-made in our lab. The data includes optical/vision sensing, force sensing, and pressure/voltage readings from pneumatic pumps. We have been collecting this data for many of our custom-fabricated actuators. These actuators differ in size, form, function, and material properties, resulting in very rich data. We also have simulated data from Finite Element Analysis models for our actuators, which can be fused with our real data for hybrid learning approaches. We continue to collect new data from other biosignals in our lab, including Electromyography (EMG), Mechanomyography (MMG), microphones, and more.
- Computer vision
- Deep/Machine learning
- Sensor fusion
- FEM modeling
- Mechatronics
- A learned model to estimate the kinematics for soft robotic continuum actuators.
- Experience with the modeling, control and design of soft robots.
- Experience with computer vision, deep learning, and self-supervised learning applied to robotic systems.
- Experience with the fabrication of soft robots.
Modern Civil and Communications Infrastructures
Addressing Complexity of Urban Networks with Deep Learning
- Stanislav Sobolevsky , Associate Professor of Practice, NYU CUSP, Urban Complexity Lab
Over the recent years, Graph Neural Networks (GNNs) have become increasingly popular in supplementing traditional network analytic techniques. The capstone project will seek proof-of-concept applications on the GNNs and the Hierarchical GNNs in particular to diverse cases of urban network analytics ranging from urban mobility and transportation networks, social media analytics, social networks, urban infrastructure, environmental sensing and beyond.
A city is an interconnected complex system and requires network analysis to be understood. Over the recent years, Graph Neural Networks (GNNs) have become increasingly popular in supplementing traditional network analytic techniques. At the same time, many conventional approaches in network science efficiently utilize the hierarchical approaches to account for the hierarchical organization of the networks, and recent works emphasize their critical importance. Our lab is working on a novel model of the Hierarchical GNN , accounting for the hierarchical organization of the urban network and connecting the dots between the traditional network science approaches, vanilla Neural Network, and the GNN architectures. This Capstone project will seek proof-of-concept applications on the GNNs and the Hierarchical GNNs to diverse cases of urban network analytics ranging from urban mobility and transportation networks, social media analytics, social networks, urban infrastructure, environmental sensing and beyond. The practical applications may range from predictive modeling and detection of patterns, impacts, and emergent phenomena in urban mobility and social interactions, urban zoning and regional delineation, classification of urban actors and locations, detecting critical bottlenecks in urban infrastructure, data verification and extrapolation in sensing urban environment and/or quantifying population exposure to urban stressors.
LEHD, NYC TLC and other taxies/FHV, CitiBike, public transit, Twitter, migration data, financial
- Network analysis, neural networks, pytorch or tensorflow, natural language processing and/or social media analytics experience is a plus (optional)
- Background in urban transportation, planning, environmental sensing is a plus (optional)
- Learn how to train supervised and unsupervised graph neural network models;
- Explore applicability of graph neural networks for urban network analysis;
- Publication in multidisciplinary, urban or computer science venues.
Airport Departing Passenger Profile Curve at EWR Terminal B: Understanding passengers’ journey through PANYNJ airports
- Rohun Iyer, Senior Data Scientist, Port Authority of New York & New Jersey
- Ai Yamanaka, Data Analytics Program Manager, Port Authority of New York & New Jersey
This project aims to create a prototype of a departing passenger profile curve to help EWR Terminal B proactively manage its terminal frontage, baggage/check-in, and TSA queues. Using data from various stages in a passenger’s journey at our airport terminal, we hope to estimate when and where passengers will be throughout their airport journey. The model should consider industry knowledge of passenger dwell times and other passenger preferences. Understanding how passengers interact with our terminal will allow EWR Terminal B management to highlight pain points in their journey and plan for future improvements in design or technology.
Air passenger travel behavior has become harder to predict following COVID-19. Having a clearer picture of when passengers arrive for departing flights, how long they wait for security inspections, and how they travel through the terminal will help airport operations team enact solutions (I.e. wayfinding, queue management, staff deployment, capital construction) to better improve customer experience at our airports. Prior to 2019, passenger show-up profiles, as well as general trends observed by industry experts, provided a reasonable model of how passengers flowed through the terminal. We hope this new prototype can help update these assumptions to reflect post-pandemic travel.
Using collected data from numerous points in the passenger journey through the airport (“from curb to gate”), we would like to build departing passenger profiles to create near-term and long-term passenger flow predictions and profiles. Our focus will be on EWR Terminal B (the only terminal that the Port Authority both manages and operates). We have insight into the use of terminal frontage, check-in counters, security checkpoints, and gates, but we have not been able to connect these disparate data sources to create an estimated passenger profile.
This prototype model and accompanying paper should answer the following questions:
- How does seasonality or weather affect these times?
- Does this change depend on the type of passenger or where they are flying?
- Where do passengers dwell in the airport? Why?
- Can we predict pain points in the airport based on who is departing/arriving?
We will be using various datasets available and regularly used by the data analytics team. These include, official detailed airline flight schedules, PA operational historical flight data, TSA throughput and wait times, CBP throughput and wait times, FHV (for-hire vehicles) frontage data, NYC TLC taxi data, Newark Terminal B baggage scanner data, PA Air Train hourly data, historical passenger survey data, MTA subway, and bus data, official publicly available government data from the DOT and FAA, official reported PA passenger counts, and an internal departing passenger TSA throughput predictive model output.
All the following datasets are available in our centralized data warehouse or accessible through various teams across the department:
- Arrival/Departure times
- Seat counts
- Delays, cancelations, taxi times
- Broken out by checkpoints
- Official throughput values also included
- PA CBP Throughput and Wait Times
- FHV Frontage Data
- NYC TLC Taxi Data
- EWR TB Baggage Scanners
- PA AirTrain hourly usage
- ACI Surveys
- MTA Subway and Bus data
- DOT O-D data
- PA Official PAX counts
- PA Departing Passenger Predictive Model
- We would like a prototype map/simulation of what this could look like. We have shapefiles to provide.
- Basic data analytics capabilities (in Python or R)
- Week/Month long simulation of passenger throughput at the terminal. Highlight hotspots of passengers at the airport through a day.
- This analysis should help us determine where and how we can improve operations at the airport.
- Recommendations to applying similar methods to other terminals
- Learning outcome: Machine learning experience in a business setting, creating assumptions and backing them up with evidence and building a platform to carry to the rest of the department
Audio-Visual Vehicle Localization for Urban Traffic Monitoring
- Magdalena Fuentes , Assistant Professor, NYU Music and Audio Research Laboratory (MARL)
Monitoring road traffic is key to ensuring user safety and smooth operation. Increasing traffic volumes impact the stress level of commuters and increase noise levels in communities, leading to health problems. Local authorities need reliable monitoring systems to create policies to help mitigate this. Ideally, automatic monitoring systems should be able not only to count vehicles but also to detect the type of vehicle (e.g. car, truck). In this project we aim to develop a system for classification of vehicles that delivers audio-visual data for the robust localization of vehicles in the wild.
This project investigates the use of audio-visual self-supervised deep learning models for the location of vehicles in urban settings, as a step towards building efficient urban mobility systems. Instead of using labelled data, self-supervised models learn by identifying intrinsic characteristics of the data, which they use to accomplish a given task. These models can be trained on unlabelled recordings and images of natural scenes, for which there is an abundance (e.g. YouTube videos), and they tend to outperform supervised models in practice.
This project consists of three stages:
- A stage of data analysis from a well-curated dataset of audio-visual urban data to get familiar with the data and the problem;
- Adaptation of a state-of-the-art self-supervised audio-visual model to work with this data;
- Analysis, evaluation and visualization of results and document writing.
We will use data and code resources from previous work within our team. The goal of the project is to answer the questions: How well can we localize vehicles in urban settings with self-supervised models? Which conditions (e.g. poor lighting or noisy environments) affect the performance of these systems the most?
This project is a continuation of a previous Capstone project , which students can review for examples of the type of things this team will be doing.
We will use a dataset of audiovisual road traffic monitoring from the MARL team.
The students should be comfortable with Python and familiar with data analysis tools such as pandas or seaborn packages. Having a machine learning background is also desirable (basic classification models such as random forests and test/train splits for evaluation).
To conduct such a project we need audio-visual annotated data to train and assess the performance of the system. We will use our team’s data for that, and a first deliverable would be an analysis of the dataset, its challenges and a definition of subsets of the data to address the problem at different levels of difficulty. Secondly, the students will get familiar and adapt a state-of-the-art self-supervised model (which code is publicly available) to work on our data. Such model was trained with large amounts of data and proved to work successfully in many cases, but has not been tested in urban data yet. So the second deliverable would be the code adaptation of this model to work with new data and a small technical report of the changes needed. Finally, the students will use the model to localize vehicles in urban settings and perform an ablation study on the impact of different conditions on the performance of the system. The final deliverable would be a report with a summary of the work carried out, and visualizations of the predictions that the model produced after its adaptation, and main conclusions along with the associated code used.
Behavior Modeling Using Multi-Modal Mobility Data
- David K A Mordecai, Co-Advisor, RiskEcon® Lab for Decision Metrics ; Visiting Scholar, NYU Courant
- Samantha Kappagoda, Co-Advisor, RiskEcon® Lab for Decision Metrics ; Visiting Scholar, NYU Courant
Develop and demonstrate methods for analyzing patterns found in mobility data, such as the aggregate tracks of vehicle populations. An expanding collection of research indicates that information about the movements of populations (i.e., syntactic trajectories) provide informative patterns. This project will explore how multiple sets of data can be jointly analyzed.
1. The primary data corpus will be the traces for taxicabs in New York City .
2. Secondary sources of data include the following: (a) dates of movable holidays , e.g., Easter; (b) daily weather data e.g., temperature highs and lows, precipitation, and wind storm conditions (see examples [ 1 ] [ 2 ]).
3. Prospective ancillary (tertiary) data sources could further include arrivals and departures at one (or more) major transportation hub(s):
- Cruise line and ferry terminals
- Airport(s) (e.g., La Guardia Airport, JFK Airport, Newark Airport)
- One or (more) train station(s) (e.g., Penn Station or Grand Central Station)
- Corresponding schedules for major sporting events, performances, and conventions or trade shows.
These data will be employed to investigate patterns across syntactic traces/trajectories in order to perform exploratory data analysis and unsupervised learning related to the following questions:
- What is the correspondence between the volume of taxi departures from a particular transit hub and the arrival times of trains or planes?
- What diurnal patterns are evident?
- How does the level of activity vary over the week (e.g., weekdays, weekends, holidays)?
- What are differences exhibited due to weather conditions?
- Do differences correspond to train arrival terminals, holiday date(s), time(s) of arrival (diurnal/nocturnal), or weather conditions (e.g. temperature, precipitation)?
- Are transit disruptions (e.g., flight cancellations, rail delays) detectable by analyzing the taxi activity?
Another adviser to this project is John Irvine, Department Manager for Civil Defense at MITRE Corporation, and affiliated with RiskEcon® Lab as a Senior Science Advisor-in-Residence with a PhD (Yale Mathematical Statistics), as well as Adjunct Professor appointments on the Health Faculty at Queensland University of Technology and the Institute for Glycomics at Griffith University. Previous to MITRE, he was the Chief Scientist for Data Analytics at The Charles Stark Draper Laboratory, Inc. With 40 years of professional experience, he has led numerous projects in remote sensing, and served on multiple boards and advisory panels, and is active in the research community with over 200 journal and conference publications.
*References:
- http://vgc.poly.edu/projects/taxivis/
- http://wiki.amilab.dei.uc.pt/images/0/04/Veloso_2011_PURBA.pdf
- https://www.researchgate.net/publication/262377825_Understanding_Taxi_Service_Strategies_from_Taxi_GPS_Traces
- https://www.researchgate.net/figure/A-route-plotted-by-a-taxis-trace-data-Each-point-denotes-one-reported-GPS-data-with_fig1_309696533
The primary data corpus will be the traces for taxicabs in New York City . Secondary sources of data include the following: (a) dates of movable holidays , e.g., Easter; (b) daily weather data e.g., temperature highs and lows, precipitation, and wind storm conditions (see examples [ 1 ] [ 2 ]).
- Reasonable proficiency with statistical applications in NumPy, SciPy and/or R
- Basic familiarity with exploratory data analysis, clustering, anomaly detection, outlier analysis is helpful
- Problem-solving and experimental design skills with real-world application.
- Domain-specific application of statistical reasoning and hypothesis testing.
Building Accessible City by Self-Supervised Visual Place Recognition
- Chen Feng , Assistant Professor, NYU AI4CE Lab
- Chao Chen, Ph.D. Candidate, NYU AI4CE Lab
Visual Place Recognition (VPR), which aims to identify previously visited places during navigation. In the context of SLAM, VPR is a key component in relocalization when the tracking is lost. Existing learning-based visual place recognition methods are generally supervised and require extra sensors (GPS or wheel encoder) to provide ground truth location labels. Differently, we want to design a self-supervised method for visual place recognition which can smoothly recognize the visited locations in a single scene environment without any ground truth labels. The method should be able to handle a variety of input modalities, including point clouds and RGB pictures.
Visual place recognition (VPR), aiming to identify the re-visited places based on visual information, is a well-known challenging problem in computer vision and robotics communities because of visual appearance variation. VPR is crucial in autonomous navigation systems, and is closely related to the concepts of re-localization, loop closure detection, and image retrieval.
Most of the state-of-art methods are supervised, which requires geographical location information in the training dataset. For most indoor scenarios, geospatial information, like GPS, is not obtainable for supervised training. And if GPS can be retrieved, the need for visual place recognition will be less essential. This would reach a paradoxical situation.
- Supervised Model: The team will implement a Supervised method
- Self-Supervised model: The team will modify the current model to an Self-supervised model version purely dependent on the temporal information
- The team will complete a review on visual place recognition
- Create a large scene Point Cloud dataset based on template given
- Create a habitatsim environment for Image dataset using a 360 degree RGBD camera
- Design a new suitable framework to fill the performance gap between supervised and self-supervised methods
- Image dataset from previous year: https://ai4ce.github.io/NYU-VPR/
- Existing point cloud dataset can be used for initial testing. After the new model is developed and deployed, we should deploy the model on 2D real 360 degree point cloud dataset and 2D simulated habitatsim environment. We could also collect image dataset ourselves.
- Contrastive learning
- Self/Weak-supervised learning
- Feature learning
- Topology Mapping
- Self-supervised localization
- Machine learning
- Create simulated dataset
- Play with real dataset and check how real dataset differs from simulated dataset
- An self-supervised model that operates with a given minimum performance level on the provided test data.
- A literature review on visual place recognition, contrastive learning, and feature learning representations.
Data-Driven Agent-Based Modeling of Fake News Dynamics Over Online Social Networks
- Quanyan Zhu , Associate Professor, NYU CUSP
The spread of misinformation through social media has led to significant issues in sectors like public health and political discourse. We leverage Twitter data to create misinformation models using agent-based models. We aim to understand the spreading pattern of misinformation and the human response to it. This research will also create intervention mechanisms that will combat the spreading of fake news and its impact on the population.
The pervasiveness and accessibility of social media across vast networks of people have rendered it a prime target for spreading malicious misinformation. Historically, social bots have often been deployed targeting certain groups of people in a social network, often with a political agenda. The recent spread of the coronavirus pandemic has also suffered from the spread of harmful and misinformed health-related news. This project aims to use agent-based modeling to model the spread of misinformation in a social network, and couple the spread of misinformation with the spread of a real-world disease. The project aims to use Twitter data to create a heterogeneous network to replicate a real social network by accounting for varying node centrality and creating connections based on shared geographical, political, or general interest attributes. This research will deploy social bots that constantly spread misinformation in the network. We will study the vulnerabilities of the agents based on the agent’s political biases, trust with the agent sharing the misinformation, as well as previous experiences with getting misinformed. We aim to understand how the misinformed agents respond to health-related misinformation and predict the impact of fake news in the real world.
There are many online Twitter datasets that can be used for this research. The students can also collect their own datasets from Twitter.
The students should have fundamental programming skills and interest in system modeling and research.
Learning Outcomes & Deliverables
- Create agent-based models based on datasets.
- Analyze the pattern of spreading.
- Create methods to combat fake news and its spreading.
Learning Efficient Multi-Agent Robotic Navigation for Exploration and Mapping
- Giuseppe Loianno , Professor, NYU Agile Robotics and Perception Lab ([email protected])
This project involves formalizing, both theoretically and experimentally, distributed multi-robot (i.e. swarm) navigation and exploration problems leveraging Graph Neural Networks (GNNs) architectures within the context of reinforcement learning policies. This approach directly employs the graph structure to enable resolution of the multi-robot navigation problem, by leveraging a distributed representation functionality of modern GNN methods, and thereby potentially enabling prospective scalability for large swarms comprised of hundreds of agents. The approach is initially envisioned as a model-free implementation with the option to extend to a model-based (or hybrid) implementation for comparison, as well as scaling to a large number of agents (𝑛 >> 3).
Design and Simulation Setting:
- Each drone has its own policy and decides its action independently.
- The state-history (i.e., mapping coverage of the environment) and relative position of each drone comprising the swarm is signaled pairwise.
- State and action spaces are discrete.
- Initially a small number of drones employed (𝑛 ≤ 3) and then scaled (𝑛 > 3).
- Initially a two-dimensional spatial environment (which could be expanded to three-dimensions).
This represents a further advancement by the extension and expansion of progress for a previous CUSP Capstone project, towards a publication which would incorporate results of both the proposed CUSP Capstone project and the previous CUSP Capstone project. The previous Capstone project in process only entails convergence of strategies for discrete stepwise navigation actions and coverage for adaptive motion planning by a pair of drones (𝑛 = 2), in order to optimize a pairwise objective function via reinforcement learning policies acting on tables.
One limitation to scale for this setting is that of redundant action increasing in proportion to the number of drones acting independently. This limitation to scale might be addressed by applying the aforementioned GNN policy network. In the GNN policy network, each node represents a drone, and each edge represents communication between drone pairs regarding state information (e.g., Kalman state transition matrix representation and/or syntactic traces as a transition vector representation summarizing path history) and corresponding relative position of each respective drone. Using such state information, the drone will be able to take optimized action to map the environment collaboratively. We can evaluate its performance by how efficiently the drones mapped the environment (e.g., time steps to reach 95% coverage). By employing a GNN, the aforementioned corresponding state-action spaces for each drone prospectively might be further augmented with structured and unstructured data streams, e.g., optical flow data (images collected by each drone) as supplemental state data and inertial measurement unit (IMU) data (drone acceleration) as supplemental action, in order to govern autonomous both agent-specific and aggregate drone swarm behavior in real-world environments.
Synthetically generated data from simulation.
- Proficiency with coding (e.g. SciPy, NumPy, Julia).
- Basic background or familiarity with robotic SLAM, adaptive state estimation/control, or state modeling (e.g., Kalman Filter) is beneficial.
We expect to produce publications and source code related to this project
Low-Power Computer-Vision Counting Research
- Paul Rothman, Director, Smart Cities + IoT Lab, NYC Mayor’s Office of the CTO
Many City agencies are involved in the use, planning, and design of public space but good data on pedestrian flows can be hard to come by. Manual counts take coordination and planning as well as staff costs. Computer-vision (CV) counting technologies are being tested in the city now but it is already clear that the infrastructure requirements (tapping into electricity and mounting to light poles) will be a limiting factor in using this technology more broadly and particularly for shorter-term studies where the infrastructure investment is not worth the time and effort. A low-cost, battery-powered CV sensor can help fill the data gap and allow agencies to utilize privacy-protected automated counts in short-term deployments with minimal infrastructure requirements.
In recent years, many hardware manufacturers have created development boards that support low-power computer vision (LPCV) applications. In addition, there has also been a fair amount of research done within academia to create low-power models for LPCV. This proposal aims to take advantage of recent technology advances to develop a hardware device that can be battery operated and utilized by New York City agencies to count pedestrians as they move through public space in the city. As an added resource to the proposed R&D, partnering with a technology developer as a development partner is a possibility.
In terms of requirements, the device should aim to work in outdoor environments, run off a battery for 2-4 weeks (either standalone or with PV), connect to the cloud via LoRaWAN or cellular, and be able to detect at least one object type at a time, e.g. pedestrian or cyclist).
This project is design to create new datasets.
Hardware engineering, AI/ML/CV development, data visualization
An understanding of how to achieve useful computer vision applications using low-power electronics and visualizing count data contextually in ways that make it relevant for the agency use case.
Rapid Detection of Power Outages with Time-Dependent Proximal Remote Sensing of City Lights
- Gregory Dobler, Assistant Professor, Multi-city Urban Observatory Network , University of Delaware
- Luis Ceferino , Assistant Professor, NYU CUSP
In this capstone project we propose to use imaging data collected from CUSP’s “Urban Observatory” (UO) facility to build a data processing pipeline and application that can detect and geolocate power outages and restoration in near real-time. The UO’s historical imaging data set includes visible wavelength images of Manhattan at a cadence of roughly 10 seconds per image. An analysis of the lighting variability patterns in these images will be used to identify clusters of lights synchronously turning “off” in the images and with photogrammetric techniques, the geospatial location of those lights will be determined.
The “Urban Observatory” (UO) was first created at CUSP as a facility for studying cities as complex systems using proximal remote sensing (Dobler et al., 2021, Remote Sensing, 13, 8, p.1426). Operationally, the UO consists of imaging devices atop tall buildings located at a distance of 1-5 miles from a city that operate in “survey mode”, continuously acquiring images of the city skyline and transferring those images back to a central server for analysis. Typically, the cadence for image acquisition at visible wavelengths is one image per 10 seconds. Previously, we showed that an analysis of these images at night using signal processing, computer vision, and machine learning techniques yields diurnal patterns of lighting variability for city lights (Dobler et al., 2015, Information Systems, 54, pp.115-126). In this proposal, we seek to leverage this capability to develop a method for automatically detecting power outages in near real time by searching the historical UO imaging data set for collections of “off” transitions of individual light sources that are spatially clustered in the scene and that occur simultaneously, indicating a likely power outage. We will then monitor those sources for the return (via “on” transitions which may or may not be simultaneous) to power restoration. Further, we will use the analysis coupled with simulated outages due to extreme conditions, e.g., hurricanes, to build outage and restoration models that take environmental and infrastructure conditions into account as key input variables for a probabilistic classification of likely outages (Ceferino et al. 2021: https://engrxiv.org/pu5da/ ).
The primary data sets that will be used are the historical CUSP visible wavelength imaging data set (consisting of millions of images at 10s cadence over months and years) that is available on the CUSP servers, publicly available topographic LiDAR for photogrammetric geolocation of outages, and publicly available weather information (winds and precipitation for rain and snow).
Students should be familiar with Python and statistical analysis on numerical datasets. Expertise with NumPy and array-based operations is a plus, particularly as it might relate to signal and image processing. Familiarity with geospatial data and operations using GeoPandas is also a plus, as is experience with interactive visualizations (Plotly, Bokeh, etc.) or dashboard design (e.g., JupyterDash).
- Image processing and computer vision
- Dashboard design and construction
- Large scale data fusion methodologies
- Probabilistic modeling and risk analysis
- Estimates of power distribution continuity
- Rapid alert systems for outages, even in the absence of monitoring
- Situational awareness and emergency response assessment
RealCity3D: A Large-Scale Georeferenced 3D Shape Dataset of Real-world Cities
- Wenyu Han, Ph.D. Candidate, NYU AI4CE Lab
Existing 3D shape datasets in the research community are generally limited to objects or scenes at the home level. City-level shape datasets are rare due to the difficulty in data collection and processing. However, such datasets uniquely present a new type of 3D data with a high variance in geometric complexity and spatial layout styles, such as residential/historical/commercial buildings and skyscrapers. This work focuses on collecting such data, and proposes city generation as new tasks for data-driven content generation. In addition, a proposing new city-level generation models is also included in this project.
As an important arena for human activities, cities have been a focal point of research. Alongside the rapid advancement of image/video generation, data-driven 3D city generation has become more feasible and appealing because of 1) the increasing availability of city-level remote sensing, and 2) the intensification of data-driven methods in architecture and urban planning.
While deep generative models are successful for various data modalities, including language, audio, image, video, and even point clouds, the limited publicly available 3D real-world city datasets makes it difficult to apply deep generation methods towards city-level geometric generation.
The team will work through 3 stages:
- The team should try to retrain our baseline models on Realcity3D datasets and extend our AETree baseline to more blocks.
- The team should propose some city-level generation models (should include 2D and 3D data) and train on Realcity3D datasets.
- The team will complete a review on data-driven generation methods and datasets for geometric generation.
- The team should follow the same way of collecting data as the author did to collect more data on other cities in order to increase the diversity of the Realcity3D dataset.
Existing Realcity3D data of NYC and Zurich will be used for stage 1. We need to collect more data of other cities in stage 3.
- Self-supervised learning
- 2D and 3D data processing
- Python basic and PyTorch DL library
- Data management experience
- Data collection and analysis
The team will be using a broad range of deep learning models that will result in proven abilities in: computer vision, content generation, urban planning, and machine learning.
- Retrain and extend our AEtree baselines and get reasonable results.
- Propose some generation models for city-level geometric generation and get some baseline results.
- Extend Realcity3D data to more city data.
Study of Indoor Spaces Occupancy and Its Correlation with the Performance of HVAC System
- Yurii Piadyk , Ph.D. Candidate, NY CUSP
Buildings consume around 40% of total US energy use, while heating, ventilation, and air conditioning (HVAC) systems account for 74% of building energy consumption. Current HVAC systems often rely on a fixed schedule, which typically results in conditioning of indoor spaces unnecessarily, without knowing the actual flow of the users. In this project, we directly measure the occupancy of university indoor spaces using a distributed sensor network. We then investigate correlation between the performance of the HVAC system and actual occupancy of these spaces to provide insights into building use patterns for adaptive control strategies of the HVAC system.
Without knowing the exact occupancy, building HVAC control systems may set air flow rates for ventilation at a high percentage of maximum air flow rate unnecessarily. Overventilation results in significant energy use and discomfort for occupants.
We plan to use a Reconfigurable Environmental Intelligence Platform (REIP) and a set of 4-6 existing sensors with video and edge computing capabilities to directly measure the user occupancy in public areas of NYU CUSP facilities. For privacy reasons, no video data will be stored but only the outputs of live object (e.g person/user) detection. Students will need to extend the sensor capabilities to environmental (i.e. temperature & humidity) sensing by designing a simple hardware module based on Arduino microcontroller and implementing a corresponding REIP software block.
A total of a couple weeks of data collection (mid-project milestone) will then be used to correlate the occupancy of the spaces (strategically chosen using the floor plans) with the performance of the HVAC system (i.e. temperature & humidity at that time). Our findings about the building usage patterns could help reduce energy waste, carbon and environmental footprint of the building via suggested adjustments to the air conditioning regime. The project is also aiming to demonstrate feasibility of live detection of indoor spaces occupancy using REIP platform, that could be used in dynamically controllable HVAC systems for even better performance and energy efficiency.
The data will be acquired by the students with an option of cross-checking with the data from the building HVAC system (upon availability).
An ideal size of the team working on this project would be three students with a collective prior experience in at least one of:
- Work with physical sensors (Arduino / C);
- Python programming language;
- Data analysis and visualization (e.g. Pandas / Matplotlib, R or MatLab).
After completing the project, students will learn how to design physical sensors for measuring air temperature & humidity, and extend REIP by providing corresponding hardware and software components. Students will acquire weeks worth of user occupancy data and analyze it using Python programming language and common libraries, such as numpy, pandas, matplotlib, etc.
The Electric Commute: Envisioning 100% Electrified Mobility in New York City (TEC-NYC)
- Robert Mieth, Postdoctoral Researcher, SEARCH Group, NYU Tandon
Every day, almost two million persons enter and leave the central business district of Manhattan using light-duty vehicles such as cars, taxis, vans, or trucks. Currently, around 1% of these vehicles are electric. This project aims to quantify the ramifications of a 100% electric commute in New York City. We will create a model that translates NYC’s transportation needs into electric charging demand, including emerging mobility trends (e.g., electric scooters) and remote work patterns. Interactive visualizations produced by the model will allow citizens, urban planners, and politicians to analyze the impact of mobility electrification and their policy decisions.
TEC-NYC will offer unique insights on the practical challenges of a 100% electrified transportation sector in dense urban areas. This project focuses on New York City, but the methodology will be transferable. The project comprises three central milestones, each focusing on different skills of data processing.
First, we will create a comprehensive data set on the transportation needs between central Manhattan and the greater New York Metropolitan area. This data set will differentiate between the various modes of transportation and the commuted distance. Complementary, we gather data on NYC’s power system infrastructure and the technical specification individual electric transportation (e.g., e-vehicles, e-bikes, and e-scooters).
Second, we will combine the gathered data such that we can answer the following questions: If all transportation switches to e-mobility, what will be the charging demands in the city? How many commuters can switch between different modes of transportation? What would be the best combination of commuting modes for the needs of the commuters and the available infrastructure? This milestone requires data-analytics skills, including identifying cross-correlations and extrapolating data trends, e.g., to quantify the impact of remote working arrangements.
Finally, TEC-NYC will visualize the data in an interactive and engaging manner. The user will be able to change model parameters (e.g., how many commuters exchange their car for an e-bike) and observe the impact on the city’s power system. We will ask: Can you tune The Electric Commute to suit the city and its citizens?
The data required for TEC-NYC is readily available through online resources and from our previous projects.
The transportation model will mainly be derived from the “Hub Bound Travel Data” published by the New York Metropolitan Transportation Council. Additional required data is publicly available from the NYC Open Data Platform, the NYC Department of Transportation and the Port Authority of New York and New Jersey. We will provide a detailed list of the relevant data sets and their sources.
Information on e-mobility technology and NYC’s power system infrastructure is available from our previous research. Data on distribution and transmission infrastructure will be “artificial but realistic” to accommodate security concerns related to the publication of real data on critical infrastructure. This data has been tested and used and will provide a realistic foundation for the planned analyses.
Students should have fundamental knowledge on data analysis and processing, i.e., be at least comfortable with Excel and have some experience in a high-level programming language (Python or Julia are preferred). Further, students should be familiar with fundamental methods of data analyses such as regression models, correlation analyses and histograms.
Ideally, the students have advanced knowledge in Python, Julia, Matlab or similar data processing language, have experience in collaboration and version control tools such as Git, and are familiar with data-visualization packages such as Plotly or Bokeh.
Each of the three milestones of TEC-NYC will address a central data analyses skill and will provide important insights. During the data collection, project members will learn how to access and handle large public data sets. They will learn the fundamentals of good data hygiene and database control. Students interested in power systems will gain additional insights through infrastructure data that is not publicly available. The initial data set will be the first deliverable.
For the second milestone, students will be required perform data anlysis tasks, e.g., suitable aggregation and de-aggregation, identifying trends and correlations. Depending on progress, more advanced data analytics methods, e.g., modelling traffic patterns using Markov decision processes are possible. The resulting second deliverable will be a numerical model that, at minimum, maps commuter numbers and modes of transportation, to electricity demands in the city.
Finally, the third milestone will strengthen the project member’s skills to design and implement an interactive data visualization tool. Depending on the student’s interests and previous experiences, such a tool can be created online of offline, with or without real-time calculation abilities. For this deliverable, we aim to focus on creating a visualization that not only makes a large data set accessible but is engaging to the user. We plan to achieve this by pursuing a carefully “gamified” approach, e.g., by asking provocative questions to the user or including exaggerated visuals if the user chooses infeasible input parameters.
V2X-Sim - Collaborative Perception for Self-Driving in Urban Scenes
- Yiming Li, Ph.D. Candidate, NYU AI4CE Lab
Vehicle-to-everything (V2X), which refers to collaboration between a vehicle and any entity in its vicinity via communication, might significantly increase perception in self-driving systems. Due to a lack of publicly available V2X datasets, collaborative perception has not progressed as quickly as single-agent perception. For this capstone project, we present V2X-Sim, the first public synthetic collaborative perception dataset in urban driving scenarios. The team will train, test and deploy computer vision (CV) and deep learning (DL) models for collaborative perception on V2X-Sim dataset.
Vehicle-to-everything (V2X), which denotes the collaboration between a vehicle and other entities such as vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I), seeks to help self-driving vehicles see further, better and even see through occlusion, thereby fundamentally improving safety. According to the estimation of U.S. NHTSA, there would be a minimum of 13% reduction in traffic accidents if a V2V system were implemented, which means 439,000 fewer crashes every year.
The V2X-Sim project aims to provide lightweight collaborative perception technologies for use in urban driving scenarios. The main tasks include: (1) design high-performance and low-bandwidth multi-agent collaboration strategy in the high-dimensional feature space, (2) develop effective and efficient multimodal learning framework based on RGB image and LiDAR point cloud, and 3) improve the system robustness against communication latency and sensor noise.
The Capstone team will train, test and deploy CV/DL models for the collaborative perception tasks including multi-agent collaborative detection, tracking and segmentation. Existing V2X-Sim dataset will be used for training and evaluation. Data-driven multi-agent 3D scene understanding methods could also be explored.
- The team will train and test a model built using V2X-Sim dataset.
- The team will design a multimodal learning framework based on different sensory input.
- The team will test the robustness of the model against realistic noise, and make improvements.
Alternatively, the team may choose to build a real-world V2X dataset, which is to be discussed with the PI.
Given that building a collaborative perception dataset in the real world can be costly and laborious, we had built a virtual dataset to advance collaborative perception research . Specifically, we employ SUMO, a micro-traffic simulation, to produce numerically-realistic traffic flow, and CARLA, a widely-used open-source simulator for autonomous driving research, to retrieve the sensor streams from multiple vehicles located at the same intersection. Besides, we mount sensors on the traffic lights to empower the roadside to perceive the environment, and the sensor streams of both the vehicles and the roadside infrastructure are synchronized to ensure smooth collaboration. In addition, multi-modality sensor streams of different entities are recorded to enable cross-modality perception. Meanwhile, diverse annotations including bounding boxes, vehicle trajectories, and pixel-wise as well as point-wise semantics labels are provided to facilitate various downstream tasks.
Alternatively, if the team chooses to build a real-world V2X dataset, then we will collect real-world visual data (mainly images).
- Federated learning
- Multimodal learning
The team will be using a broad range of urban analytics approaches that will result in proven abilities in: computer vision, data science, and machine learning.
- A high-dimensional feature-based collaborative perception model trained on the provided V2X-Sim data.
- A multimodal learning framework which supports both RGB image and LiDAR point cloud.
- A report of the robustness investigation under different levels of realistic noise.
All deliverables will be committed to a well documented public GitHub repository.
The Best 200 Capstone Project Topic Ideas for You in 2022
If you are reading this blog, it can only mean one thing — you are at a loss regarding your capstone project ideas. Your course teacher must have instructed you to find out ideas for a project, and now you are googling- ‘examples of capstone project’ to see what the internet can provide. In addition to offering services such as capstone project writing service , EssayBrother is providing many students like you with the solution to your problem. Keep on reading the blog where you will find the 200 best capstone project ideas in 2022 that you can use for your next successful project.
Table of Contents:
- What is Capstone Project
- Top Business Capstone Project Topics
- Amazing Education Capstone Project Topics
- Interesting Engineering Capstone Project Topic Ideas
Amazing Nursing Capstone Project Topic Ideas
Captivating computer science capstone project ideas, top capstone project topics for high school education, captivating project ideas on information technology.
- Interesting Capstone Topics on Psychology
- Top Capstone Research Project Examples on Management
- Captivating capstone research topics in Marketing
- MBA Capstone research project ideas
- Top Capstone project ideas in political science
Let’s come to a conclusion
A capstone project is a way of measuring a student’s ability to solve complex problems related to the course. This kind of project polishes the thinking capability of a student, his/her presentation, and communication skills. That is why schools take this very seriously and so do we. Maybe you need help with your term paper, or you are stuck with your homework that you badly need to finish. However, if you are tasked with finding a capstone project idea , even we will urge you to finish that first. It is that important!
The Best Capstone Project Topics for Different Subjects
Stuck between several Capstone topics? Or cannot find even one? You are in the right place.
You may have multiple ideas floating inside your head or you may be stuck and thinking of giving up. Whatever it may be, the first and foremost task that you should complete is to find the most suitable topic for your capstone project after careful consideration. The points that you should keep in mind are:
- You must find an interesting capstone topic
- You can choose the topic according to your strengths and weaknesses
- You should not choose a topic irrelevant to your curriculum
- Make sure you have the opportunity to come out on top with this idea.
- Avoid choosing a broad area for your capstone project idea. Narrow it down as much as possible and work on a specific topic that you are confident enough to handle.
With all the discussions above, here are some examples of capstone projects that you can take an idea from. Maybe one of them will be your ‘Chosen One’!
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Top Business Capstone Project Topic Ideas
We will be starting with a difficult one. Here are the best business capstone project ideas that will make you pass in 2022.
- Effects of globalization on business
- Impact of cultural diversity
- How Amazon has changed the world of business
- Developing a successful business plan for start-ups
- Market analysis of a new concept product
- Can undertaking ‘green’ measures in a business save the environment?
- A critical-thinking approach to business
- How can social media influence today’s business?
- Difference between US and European markets
- Do super-shops control the whole marketplace?
- How effective are marketing and branding in the modern world?
- Are family-owned businesses better than other types of businesses?
- How important is HR in improving productivity?
- Are psychology tests effective in recruiting better employees?
- The most effective way to start a small business with minimum funding.
Amazing Education Capstone Project Ideas
The next on the list of best capstone project ideas is the topic of Education. Here are the top ideas for this topic:
- How classroom management can influence learning
- Quality control in online classes
- How the pandemic has changed the world’s education system
- The best assessment methods
- How rural schools are different from urban ones
- Role of teachers in motivating the students
- How teachers can reduce stress from students
- The advantage and disadvantages of distance learning
- How to increase participation in the classroom
- The role of games in today’s learning.
- Children’s community and literature
- The concept of situated learning
- Pros and cons of education commercialization
- Teaching and inclusions
- Programs for personal growth from elementary school
- Leadership among teachers
- How efficient is bilingual education?
- The most important learning branches
- Plagiarism in universities
- Pros and cons of private tuition
Interesting Engineering Capstone Project Ideas
If you are looking for capstone project topic examples related to engineering, you can look at the following list:
- Developing a solar-powered car
- Self-driving cars
- Low-cost water purifier system with high efficiency
- Mechanical hand prosthetic
- Robotic arm controlled by a microprocessor
- Voice-controlled robot
- Developing a night vision goggles
- Environment-friendly vehicles
- Wheelchair that can climb stairs
- GPS tracking system
- Air pollution monitoring system
- Sound pollution monitoring system
- Heart rate measurement system
- Oxygen saturation measurement and monitoring device
- Development of a low-cost infusion pump
If you looking to be a nurse in the future and are tasked with finding nursing capstone topic ideas, the following list is just what you need:
- Prevention of ADHD in children
- Anesthesia in nursing
- Best practices for a nurse in the workplace
- The role of a nurse in critical care
- The role of a nurse in primary care
- The role of a nurse in emergencies
- Evidence-based practices of a nurse
- How do people view nurses in society?
- Correlation of shift duration and service of nurses
- Methods to improve nursing practice in the modern world
- Training nurses for a patient-focused service
- Recruitment process of nurses
- Preventing sexually transmitted disease
- How can a nurse treat post-partum depression
- How can a nurse prevent diabetes in young patients
In today’s modern world, computer science is the most demanding subject. To know more about examples of capstone projects related to computer science, continue reading.
- Image processing of medically acquired images
- Using game theory to analyze algorithms
- Programming languages in the modern world
- Cybersecurity and its growing concerns
- The threats of internet banking
- Improving the security of a software company
- Developing a mobile app for storing sensitive data
- Security issues with modern operating systems
- Utilizing machine learning to predict stroke
- How chatbots are the new customer service
- Using smartphones to process and store medical records
- Data mining in commerce
- Growing popularity of IoT-based devices and developing one
- Security concerns about social media
- Modern Saas Technologies.
If you are looking for high school capstone project ideas, then you can search for them in this list:
- How the pandemic has changed education
- Virtual Education: Yay or Nay?
- The career path of becoming a scientist
- Encourage leadership in students
- Developing confidence in students
- Alleviating stress from students
- Steps to reduce cyberbullying
- Teaching appropriate behavior in classes
- Game-based learning and its impact on students
- How project-based learning can help students
- Should the class time be reduced to increase efficacy?
- Monitoring the educational pressure on students
- Supporting students’ education in case of familial issues
- Teaching students with learning disabilities
- Health care facilities in schools
- Increasing students’ participation in sports
- Ensuring children are not discriminated against based on their gender and race.
- Methods to motivate students
- Which has a better future: NASA vs SpaceX
- How important are dress codes in high school?
If you are planning your capstone project to be on information technology, this list is for you:
- Prospects of cryptocurrency
- Are VPNs secured?
- Modern automation technology
- The future of cloud computing
- Smart parking systems
- Security systems based on biometrics
- How to improve data security
- Mobile learning and its future
- Home surveillance system
- Theft detection using GSM technologies
- Is virtual reality the future?
- IoT based sensors
- Differences between proxies and VPNs
- Smart housing technology
- Voice-controlled technologies
- Machine learning-based e-commerce
- Blockchain and cryptocurrency
- Data mining introduction
- Data mining in healthcare systems
- Censorship of internet usage
- Cre principles of cybersecurity
- Event planner app
- Online apps for personal finance
- Doorbell notification via SMS
- POS apps and their applications
Interesting Capstone Ideas on Psychology
Are you a student of psychology looking forward to completing your capstone project? Check out this list for interesting capstone research topics:
- Cultural impact on psychology
- A study on schizophrenic patients
- Root causes of suicidal tendencies
- What goes on behind a terrorist’s mind?
- How colors can impact the brain
- Violent games and their effects on teenagers
- Correlation between the quality of sleep and work performance
- Impact of bipolar disorder on daily life
- Effects of abortion on mental health
- Can gender discrimination cause depression
- Root causes of depression
- What is military psychology
- Comparing short and long-term memory
- Psychological treatments of juvenile sex offenders
- The role of biology and environment in hyperactive children
Top Capstone Research Project examples on Management
Here is another list if you are searching for easy capstone project ideas on Management:
- The importance of risk management
- How supply chain management works
- How globalization impacts business management
- How to manage crisis in a business
- Analysis of customer service in top hotels
- Project management in a political setting
- Innovative management systems in various industries
- How a project manager functions
- Developing an effective corporate strategy
- Strategy to improve public relations
- How capital structure impacts corporate strategy
- Improve the participation of women in management
- Technological advancements in management
- Relation between supplier and business management
- Recent trends in e-commerce management
Captivating Capstone research topics in Marketing
Here is a list of capstone topics in marketing if that is what you are looking for:
- The importance of metrics in marketing
- Maximizing marketing channels
- How social media influences marketing
- How online marketing varies from traditional marketing
- Increasing brand awareness online
- Buying behaviors of customers
- How jungles improve the advertisement
- B2B and B2C marketing strategies
- Can blogs generate enough traffics?
- Marketing principles of e-commerce
- Modern trends in online marketing
- Problems in e-commerce marketing
- How to build a brand value
- The best mobile marketing environments
MBA Capstone Research Project Topics
For capstone project examples for MBA see the following list:
- Designing a business plan for a start-up
- Conflict in teams due to cultural differences
- Conflict management in large organizations
- HR management principles in companies
- Top management techniques and ethical issues
- Issues regarding business outsourcing
- Analysis of market for a new app
- How to maintain relationships with stakeholders
- The impact of globalization on business management
- Re-organizing after a business downsizing
- How to manage diversity in an organization
- Risk management for small and large organizations
- How developing countries can manage business strategies
- Do pirate websites harm the business of large organizations?
- Defining effective algorithms for determining consumer buying
Top Capstone Project Ideas in Political Science
If you are looking for capstone project examples related to political science, this list is for you:
- Populism and its functions
- Causes and effects of the American Civil War
- Is democracy really successful?
- Why did the Soviet Union collapse?
- Causes and effects of World War I and II
- Understanding the government system of the United States
- The principles of socialism and communism
- Growing international relations among countries and its benefits
- How does the United Nations maintain world peace?
- Is capitalism the best governance method?
- Project management in political campaigns
- The role of social movements in politics
- How do the first-world countries influence politics in the third-world ones?
- Is terrorism a political instrument?
- How do modern governments keep world peace?
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Top 30 Information Technology Capstone Project Ideas
Check out the today’s date. Remember it and mind it any time you think that something is impossible. If we don’t speak about supernatural skills, everything is possible in the era of informational technologies. And you can prove this fact in your information technology capstone project.
At this moment you might think “How can I do this individually without relevant skills and experience?”. Actually, you can cope with the task, but it needs a lot of time to make a proper research and structurize the information. Nonetheless, if you haven’t enough time or desire, there is a way out.
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What is an Information Technology Capstone Project?
An information technology capstone project is the paper you must submit at the end of your course. It aims to show your knowledge and what you have learned throughout the course. You have a chance not only to show your knowledge but also to apply the skills you have gained.
In other words, IT capstone project is your chance to prove that you know a lot about IT sphere and you have some own ideas on furhter development. Such a project is a very interesting thing since it helps you to learn a lot of modern world of technologies.
Start From Selecting Capstone Project Ideas for Informational Technology
Before you even start, you should decide what you are going to write about. As it was mentioned above, choosing the topic is not easy. However, before you do that, read some valuable and worthy information technology capstone project examples.
They will help you understand the meaning and the main idea of an IT capstone project. You can see how to structure and format your paper, actually.
Top topics for your capstone project
Here is the list of the top information technology capstone project ideas:
- GSO inventory system
- PHP-based web accounting system
- A web-based classified ads app
- Online grading system
- SMS notifications as a way to report crimes
- Fitness and healthy lifestyles mobile apps
- Ranking and planning app for employers
- Free dicto-translators
- PHP-based hospital management system
- MySQL voting system
- Java tutorials for Android
- Artificial Intelligence and its effects on modern life
- The problems of virtual reality
- Educative mobile apps
- The internet and its future
- Decision support system for student information management
- The effect of intelligent cars on our transport system
- File management systems
- Network navigation and its security
- SMS fire alarm apps
- Learning apps for kids
- IQ tests for Android
- Intelligent homes
- The apps for booking airline tickets
- Discrete math gaming apps
- Mobile apps for financial forecasts
- Smart time trafficking apps for enterprises
- Automation documentation for accounting
- Guest tracking systems
- Data storage and cloud technologies
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As was mentioned above, all of your IT capstone ideas must be fully unique. No plagiarism is accepted by professors, no matter how kind they are. You have diligently studied, learned the course, gained knowledge, and acquired skills. Now, you must have enough to produce an original capstone project in programming.
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Capstone Project Ideas for IT and IS October 2021
The below have been selected into several categories according to their relationship to various operating areas and industries. The information in a collection of Capstone Project ideas offered by our team is included in this post. The capstone projects listed this article may be helpful to future scholars who are trying to come up with unique capstone project ideas.
- Webinar Course Management System Free Bootstrap Template
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The suggested system will serve as a centralized platform through which webinar facilitators and their members will benefit from a more straightforward and convenient platform for webinar management. The facilitators can handle the details of the webinar, such as the schedule, the topic, the speaker, the meeting link, and any other necessary information for the webinar to go well. Members of the system who have registered will also be able to obtain critical information about the webinar in a timely and accessible manner. They can easily participate in the scheduled webinars by just clicking on the link provided.
- Fingerprint Indexing and Verification Capstone Project
The deployment and use of fingerprint indexing and verification in the safekeeping of important documents is the subject of this research paper. As a result of the digitalization of the world, fingerprint identification systems are now being used not only in crime prevention but also in a variety of civilian applications all over the world, including hospitals.
- eCommerce Website in Django Free Source code
To solve the concerns in the manual process, the researchers proposed that the eCommerce Website be developed in Django programming language. Aiming to replace traditional retail with electronic commerce, the project will see the transition of traditional retail businesses to electronic commerce. Product sales and purchases will be conducted entirely online. Companies will be able to expand their retail operations and services as a result of the platform. Because of the ease with which consumers can purchase products through the system, they can reach many customers. The use of an eCommerce website is particularly advantageous at this time, given that we are amid the COVID-19 pandemic, which restricts our ability to venture outside our homes. Consumers will be able to purchase their necessities online through the system, which will provide a convenient platform. The system is simple to use, efficient, and dependable, and it helps streamline sales and purchasing processes. The Ecommerce website will improve the overall operational efficiency of the company and the overall customer experience and satisfaction of its customers.
- Mother Tongue Mobile Based Education App
- Fish Pond Water Quality Monitoring System
The researchers researched to design, develop, and implement a Fish Pond Water Quality Monitoring System. This system can monitor the water quality, which is critical for understanding measurement reactions and their effects on fish feeding, growth, and health. The system was also designed to be user-friendly. Every water attribute may not reveal much on its own, but when many factors are combined, they can show various processes in the pond or body of water in general. Keeping track of water quality changes and making quick decisions will allow fish pond owners to keep track of changes and implement appropriate actions in the shortest possible time.
- RiddleApp Android Application
Known in Filipino as “Bugtong,” a riddle is a statement, question, or phrase that contains a double or hidden meaning and compels the reader or listener to respond somehow. These puzzles require people, particularly children, to think critically and imaginatively to figure out the solution to them. Riddles can be simple, complex, or simply for entertainment purposes. Puzzles are typically discovered in books and other previously published materials that are not always readily available or accessible to the general public. People who want to spend more time-solving riddles are discouraged because it takes time and effort to locate riddle materials, which is not always available.
- Online Exam and Learning Management System
- Online Consultation and Medical Subscription
Using this study as a basis, the researchers developed and implemented an Online Consultation and Medical Subscription service. The system received positive responses from both the respondents and the target end-users regarding user acceptability, effectiveness, reliability, productivity, and overall quality. The potential of the system has been recognized by the vast majority of those who have responded. After considering all of their findings, the researchers concluded that the Online Consultation and Medical Subscription is a valuable tool for assisting end-users in obtaining more reliable and convenient consultations.
- VRStories Virtual Reality Story Telling App
The project fills a void left by the demise of the traditional storytelling method. The app creates evolutions and adds new features to narrating stories to make it more effective. With the proposed project application, the children will discover that reading is an engaging and exciting activity. The system will be developed following the Software Development Life Cycle (SDLC) methodology. To test and validate the system, the researchers will recruit many students, teachers, and other end-users to participate in the study. IT specialists will examine the system to make adjustments. The researchers will make improvements to the system in response to the advice of the experts.
- QR Code Digital Vaccine Certification Capstone Project
Due to the implementation of the QR Code-based vaccine certificate, concerns about the reliability and validity of vaccine cards will be alleviated to some extent. Every detail about a vaccine recipient’s health will be stored in a centralized government database. This will include the recipient’s name, vaccine brand, where the vaccine was administered, and any other pertinent information. A QR-Code will be generated for each person who has received the vaccine, which they can use for whatever purpose they require it for, such as obtaining a travel pass or obtaining a work permit in a foreign land. The article includes the abstract, introduction of the study, objectives of the study and many more.
- TrabahoFinder Mobile and Web Application for Job Searching and Posting
This research focuses on the development of a mobile and web application that will allow job seekers and employers to search for and post job openings, respectively, on mobile devices. The proposed application is only intended to be used for job searching and job posting purposes. The researchers will compile a representative sample of employers and job seekers who will be asked to participate in the study as respondents. The article contains example contents that you may use in your capstone project related to job searching platform.
- Gym Management System using CakePHP
The system will aid gym owners and managers in the administration of the entire operation of the facility. The system will electronically streamline the management of members, staff, trainers, expenses, payment, and all other aspects of the gym’s business operations. It will replace manual operation processes with electronic ones, thereby eliminating the need for them. The system will improve the overall efficiency of the gym’s operations as well as the overall customer experience of its members.
- Crowd Funding Platform Free Bootstrap Template
- Accounting Management System in Laravel
This project, called “Accounting Management System in Laravel,” is an advanced accounting system that was developed using the Laravel framework. The system will greatly simplify the process of tracking and maintaining financial information for a business. The expenses, invoicing, and other financial transactions of the company will be managed through the use of this project. Visit the article to view more details and information about the project.
- Courier System in PHP
The researchers proposed the “Courier System in PHP” project as a response to the concerns raised in the previous section. An application software program that would assist courier companies in having an effective management tool for cargo deliveries is being proposed as part of this project. The system will be used for a variety of tasks, including managing the details of delivery, tracking, and scheduling of couriered items, analyzing courier performance, and providing updates to customers. The system will also function as a platform through which the customer or the owner of the package will be able to access information about the package that is being delivered. The client can keep track of the progress of the couriered item by logging into the system. Credits to the developers of this project.
- Telemedicine Online Platform Free Bootstrap Template
Medical consultation, diagnosis, and prescriptions will be provided online through the Telemedicine Online Platform, which is a database-driven system that will eliminate the need for patients to travel to a hospital for treatment. The system will assist in streamlining the donation process in an efficient manner. Another free template provided by our team and feel free to download and use it.
- Food Donation Services Free Download Template Source code
Many companies’ operations are being automated as a result of information technology, which is helping them to become more efficient. Another is the automation of food donation and distribution management, which is currently in the process of being implemented. The capstone project, titled “Food Donation Services,” is a platform for facilitating transactions between food groups, donors, and recipients of food donations. As a result of the project, food banks will be able to respond to a wider range of food donations and food assistance requests in a more timely and effective manner. The template was written in Bootstrap and you may download it for free.
- Service Selling Platform in Laravel
A single point of contact for marketing and inquiring about a variety of services will be provided by the system under consideration. The aforementioned platform would act as a bridge for automated transactions between a variety of service providers and their respective clients. The ability to provide services electronically allows service providers to reach a larger audience while also simplifying transactional processes. The requirement for customers to physically visit establishments in order to receive the services they desire would likewise be eliminated. For both service providers and clients, the automated marketplace for services is a realistic alternative that offers major advantages and ease. You may contact the developers of the said project for more information about the project.
- Online Birth Certificate Processing System with SMS Notification Free Bootstrap Template
This research focuses on the development of a web-based platform for the processing of birth certificates. Streamlining transactions between the PSA office and its clients is the scope of the project. The system will enable the electronic submission of birth certificate requests, as well as the verification, approval, and processing of original birth certificate copies. The project also includes an SMS notification system that will alert the client when their request has reached a certain stage. The researchers will prepare a representative sample of PSA employees and their clients who will be asked to participate in the survey as respondents. In this content, you can download the source code of the template and revise it based on your desired output.
- Web and Mobile Medicine Information System Capstone Project
This article will give an example of the documentation about the capstone project medicine information. The “Web and mobile medicine information system” was created in order to solve a gap, obstacles, and issues that existed in the medical business at the time of its development, specifically, access to information in medicine. Medical terminology nowadays is so difficult to pronounce, explain, and comprehend that even medical professionals are unable to provide exact information about the medicine to patients in a way that they can comprehend it quickly.
Technology is often regarded as the driving force behind the transformation that has occurred in a variety of businesses and institutions. The world has been significantly altered as a result of information technology. A capstone project is a culminating work that students do during the final year of their academic journey or after their academic program, depending on the situation. To propose solutions to current problems, issues, and concerns, the capstone project’s primary goal is to collect and analyze data. The capstone project that students complete is based on their area of expertise and must incorporate the knowledge they have obtained through their courses or programs, among other things.
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The capstone director will meet with you several times over the semester to answer questions, discuss your progress, read drafts, and offer feedback. The director also grades the final project. Journalism Timeline. Fall capstone: Meet to discuss capstone ideas by May 1. Submit first draft of capstone proposal by June 1.
Capstone Project Ideas for IT and IS January 2022. Here are the lists of Capstone Project Ideas for the month of January 2022. Dairy Farm Management System Free Template Source code in Bootstrap. As we go toward a smarter, more digital society, individuals are coping by taking advantage of the opportunities presented by technology and reaping ...
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Few of the most interesting capstone research project ideas are the examples described below. Our users have already made several papers on these topics and have been delighted with them and received an excellent final grade! Algorithms for tracking user activity. Automating the layout of a website template.
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Here is the list of the top information technology capstone project ideas: GSO inventory system. PHP-based web accounting system. A web-based classified ads app. Online grading system. SMS notifications as a way to report crimes. Fitness and healthy lifestyles mobile apps. Ranking and planning app for employers. Free dicto-translators.
The proposed capstone project entitled "Lost and Found Information" is an online platform that will allow the users to post and published a lost or have been found items. It is a reporting and monitoring site for those items. The article includes the chapter 1 documentation of the proposal.
Capstone Project Ideas for IT and IS October 2021. The below have been selected into several categories according to their relationship to various operating areas and industries. The information in a collection of Capstone Project ideas offered by our team is included in this post. The capstone projects listed this article may be helpful to ...