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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:

✅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:

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:

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.

Build your thesis statement

This is AI-powered online tool that lets you create a thesis statement about any topic you need.

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.

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.

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.

Stuck with finding the right title?

Get plenty of fresh and catchy topic ideas and pick the perfect one with PapersOwl Title Generator.

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.

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.

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.

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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.

Capstone Project Ideas for an Accounting Course

Try these ideas for your Capstone Project in Accounting – and get the best result possible.

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:

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:

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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


Electrical engineering:

Nursing Capstone Project Ideas

If you need help with any of these themes, you can turn to our service.

Information Technology Capstone Project Ideas

Computer Science Capstone Project Ideas

MBA Capstone Project Ideas

Read also: 70 Best Sociology Research Topics  

Accounting Capstone Project Ideas

Management Capstone Project Ideas

Education Capstone Project Ideas

Marketing Capstone Project Ideas

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!

What if you can’t complete your capstone paper ? Sometimes, even if you have chosen a brilliant capstone project idea, this does not mean that you are doomed to succeed. This is a complex task that not everyone can handle. However, we have a solution! helps students keep up with all of their academic assignments and get the highest grades with ease. Why choose Because we have numerous benefits for you:

Submitting an A-worthy capstone project is simple with us, so, if you have faced any issues with writing your capstone papers, do not hesitate and use our writing service at!

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it capstone project ideas 2022

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it capstone project ideas 2022

Best Capstone Project Ideas for Students

Capstone Project Ideas

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.

If you’re still having difficulty getting started, you can get aid from a competent writer through Peachy Essay writing services. Allow our team of professional writers to walk you through the process of writing an essay from scratch.

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

Nursing Capstone Project Examples for Students in their Final Year of School

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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it capstone project ideas 2022

10 best Computer Science Capstone Project Ideas in 2022

10 Best Computer Science Capstone Project Ideas in 2022

Table of Contents

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: 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 

it capstone project ideas 2022

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

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 

Search Engine -  Computer Science Capstone Project Idea

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

Fitness Track for Computer Science Capstone Project Idea

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.

Capstone Project Ideas

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.

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

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

Few High School Capstone Project Ideas

Accounting Capstone Project Ideas

Read more- Best Accounting Research Topics and Ideas for Students

Capstone Project Ideas

Business Capstone Project Ideas

Computer Science Capstone Project Ideas

Engineering Capstone Project Ideas

Read more:   Best Engineering Research Topics for Academic Writing

Capstone Project Ideas in Information Technology

MBA Capstone Project Ideas

Marketing and Management Capstone Project Ideas

Nursing Capstone Project Ideas

Psychology Capstone Project Ideas

Capstone Project Ideas in Political Science

Political Science Capstone Project Ideas

Trending Capstone Project Ideas for Politics

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

capstone project ideas

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.

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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Best MBA Capstone Project Ideas

Top MBA Capstone Project Ideas For Theses and Dissertations

MBA Capstone Project Ideas

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.

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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.

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:

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:

MBA Capstone Topic Ideas in Human Resource Management

mba project ideas for HR

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

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May 2nd, 2022

it capstone project ideas 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:

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

Capstone Project Ideas – Engineering

Capstone Project Ideas – Education

Capstone Project Ideas – Management

Capstone Project Ideas – IT

Capstone Project Ideas – Medical and Nursing

Capstone Project Ideas – BSN

Capstone Project Ideas – Business

Capstone Project Ideas – MBA

Capstone Project Ideas – Social Work

Capstone Project Ideas – Psychology and mental health

Capstone Project Ideas – UX and web development

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:

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.

it capstone project ideas 2022

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

it capstone project ideas 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.

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:

Great Nursing Capstone Project Ideas

The following are some nursing ideas you can draw inspiration from:

Captivating capstone project title ideas for sales and marketing

The following are some examples of marketing titles:

Creative Capstone project ideas for engineering students

Engineering is a broad subject, meaning a student should have so many ideas, including:

Innovative Capstone Project Ideas on Computer Science

The following project titles suggestions will kick start your computer science project.

Interesting Information Technology Best Capstone Project Ideas

The following are some interesting title samples for IT students:

Political Science capstone projects ideas

The following are examples of topics a political science student can come up with.

List of the Best capstone project ideas on Accounting

Accounting students can draw inspiration from one of the following ideas:

Fantastic Capstone project ideas on Management

Business management students can write a project based on one of the following ideas:

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.

For professional help with your project or academic essays, at affordable prices, contact us today.

We offer a professional writing service in all subjects at affordable prices.

Sarah Bentley

I’m a brand manager. That means I take knowledge from various fields – marketing, computer science, linguistics – and I synthesize it into solutions for my customers. I use my knowledge, skills, and experience to develop helpful solutions for students and make their study paths more productive and fun.

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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

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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:

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.

Need help with Information Technology Capstone Project?

Get a timely done Information Technology Capstone Project from qualified writers

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:

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?

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it capstone project ideas 2022

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:

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:

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:

Engineering capstone project ideas

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:

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:

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:

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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.


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:

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.

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.

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

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.

Harvard Division of Continuing Education

A division of Harvard University dedicated to bringing rigorous programs and innovative online teaching capabilities to distance learners, working professionals, high school students, college students, and those seeking higher learning in retirement.

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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.

The School of Information offers four degrees:

The Master of Information Management and Systems (MIMS) program educates information professionals to provide leadership for an information-driven world.

The Master of Information and Data Science (MIDS) is an online degree preparing data science professionals to solve real-world problems. The 5th Year MIDS program is a streamlined path to a MIDS degree for Cal undergraduates.

The Master of Information and Cybersecurity (MICS) is an online degree preparing cybersecurity leaders for complex cybersecurity challenges.

Our Ph.D. in Information Science is a research program for next-generation scholars of the information age.

The School of Information's courses bridge the disciplines of information and computer science, design, social sciences, management, law, and policy. We welcome interest in our graduate-level Information classes from current UC Berkeley graduate and undergraduate students and community members.  More information about signing up for classes.

it capstone project ideas 2022

Research by faculty members and doctoral students keeps the I School on the vanguard of contemporary information needs and solutions.

The I School is also home to several active centers and labs, including the Center for Long-Term Cybersecurity (CLTC) , the Center for Technology, Society & Policy , and the BioSENSE Lab .

I School graduate students and alumni have expertise in data science, user experience design & research, product management, engineering, information policy, cybersecurity, and more — learn more about hiring I School students and alumni .

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On Saturday, February 25, 160 past and present faculty, alumni, and students gathered on the UC Berkeley campus...

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Professor Deirdre K. Mulligan has been tapped to join the White House’s Office of Science and Technology Policy (...

Hany Farid with committee hearing for Gonzalez v google

On Wednesday, March 8, 2023, School of Information and EECS Professor Hany Farid testified on a hearing entitled: “...

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Would you prefer a chart or text when being presented with information? Ph.D. student Chase Stokes has dedicated his...


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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More information.

Summer 2022 MICS Project Descriptions

Judging Guidelines

If you have questions about this event, please contact the Student Affairs team at [email protected] .

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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.

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.


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

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:

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.

Creating a High Performance Construction Project Database To Accelerate Building Decarbonization and Resilience in NYC

Project Sponsor

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:

Data analytics, visualization, data mining and processing, outreach/interview skills, database management, and web integration

Data-Life: Exploring Post-Covid Scenarios Through Data Science

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

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:, 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:

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.

Emergency Response after Earthquakes: Assessing Risk and Guiding Coordination in Hospital Systems

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:

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:

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.

FloodNet - Computer Vision for Urban Street Flood Detection

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:

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.

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:

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

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:

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.

Through this project, the candidate(s) will:

Modernizing Organics “Collection” for Managing the City’s Municipal Solid Waste and Achieving Zero Waste Goals

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.

Virtual and Augmented Reality for Community Preparedness to Disasters

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:

*VR/AR environment interactivity will be explored.

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.

City of Bogotá: Data Driven Door-to-Door Care

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:

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.

Community Economic Recovery Tool

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:

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

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.

Project management, data visualization, data engineering, modeling

Informing Policymakers On State Level Supplemental Security Income Support

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:

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

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.

Repairing Dallas: Leveraging data to improve housing quality

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:

Simulating Interactions with Visually Impaired

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.

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.

Trustworthy AI for Human Machine Interface

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.

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. 

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. 

Challenges and Solutions for Walking with Assistive Wearable Robots in Urban Environments

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.

Mapping Agricultural Production in NYC (M.A.P. NYC)

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:

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.

Modern Civil and Communications Infrastructures

Addressing Complexity of Urban Networks with Deep Learning

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

Airport Departing Passenger Profile Curve at EWR Terminal B: Understanding passengers’ journey through PANYNJ airports

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:

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:

Audio-Visual Vehicle Localization for Urban Traffic Monitoring

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:

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

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):

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:

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.


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 ]).

Building Accessible City by Self-Supervised Visual Place Recognition

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.

Data-Driven Agent-Based Modeling of Fake News Dynamics Over Online Social Networks

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 

Learning Efficient Multi-Agent Robotic Navigation for Exploration and Mapping

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:

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.

We expect to produce publications and source code related to this project

Low-Power Computer-Vision Counting Research

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

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: ).

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).

RealCity3D: A Large-Scale Georeferenced 3D Shape Dataset of Real-world Cities

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:

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.

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.

Study of Indoor Spaces Occupancy and Its Correlation with the Performance of HVAC System

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:

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)

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

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.

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).

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.

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:

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.

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:

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.

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:

Interesting Engineering Capstone Project Ideas

If you are looking for capstone project topic examples related to engineering, you can look at the following list:

The Best Ideas 2022

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:

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.

If you are looking for high school capstone project ideas, then you can search for them in this list:

If you are planning your capstone project to be on information technology, this list is for you:

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:

Capstone Project Step-by-step

Top Capstone Research Project examples on Management

Here is another list if you are searching for easy capstone project ideas on Management:

Captivating Capstone research topics in Marketing

Here is a list of capstone topics in marketing if that is what you are looking for:

MBA Capstone Research Project Topics

For capstone project examples for MBA see the following list:

Top Capstone Project Ideas in Political Science

If you are looking for capstone project examples related to political science, this list is for you:

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it capstone project ideas 2022

BuyCapstone » Information Technology Capstone Project

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:

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If our information technology capstone project ideas did not help you and you still find it difficult to start your paper, we are here to assist you. Our capstone project writing service is full of experts who face such assignments daily and know what exactly you are looking for.

Moreover, we know what your professors expect from you. Therefore, if you lack valuable ideas, knowledge, skills, experience, or even time, you are in the right place at the right time, and we are ready to face the challenge you want to offer us.

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Our team consists of professional writers who have enough experience in the IT field and all programming languages. Needless to say, they have related diplomas, degrees, and certificates to complete such assignments like yours.

We guarantee that each expert in our team is a native English speaker who will write a flawless and unique capstone project for you. It will contain zero mistakes, typos, or errors of any kind.

No plagiarism

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.

Of course, not everyone can guarantee that. You may even fail to cite or refer to some of the sources properly, and here you go — you have plagiarized someone else’s ideas. This will affect your grade and overall academic success negatively.

Our team guarantees that all of our assignments are 100% unique. Proper citing and referencing would be a very nice bonus to your order. Be sure that your professor has never encountered similar ideas before.

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Your personal, as well as payment details, are highly protected by us. We do not have a right to disclose your information to third parties, so be quiet and sleep well. You get your full author’s rights when getting your assignment.

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No matter how tough and short your deadline is, we are ready to deliver your order on time. Along with that, our experts never sacrifice the quality of your capstone project. Be sure to have enough time to buy capstone project right on time.

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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.

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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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Online Birth Certificate Processing System with SMS Notification Free Bootstrap Template

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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