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110+ Exceptional Education Research Topics Ideas

Topics for education research usually comprise school research topics, research problems in education, qualitative research topics in education, and concept paper topics about education to mention a few.

If you’re looking for research titles about education,  you’re reading the right post! This article contains 110 of the best education research topics that will come in handy when you need to choose one for your research. From sample research topics in education, to research titles examples for high school students about education – we have it all.

Educational Research Topics

Research title examples for college students, quantitative research titles about education, topics related to education for thesis, research titles about school issues, ph.d. research titles in education, elementary education research topics, research title examples about online class, research titles about modular learning, examples of research questions in education, special education research titles.

The best research titles about education must be done through the detailed process of exploring previous works and improving personal knowledge.

Here are some good research topics in education to consider.

What Are Good Research Topics Related to Education?

• The role of Covid-19 in reinvigorating online learning
• The growth of cognitive abilities through leisure experiences
• The merits of group study in education
• Merits and demerits of traditional learning methods
• The impact of homework on traditional and modern education
• Student underdevelopment as a result of larger class volumes
• Advantages of digital textbooks in learning
• The struggle of older generations in computer education
• The standards of learning  in the various academic levels
• Bullying and its effects on educational and mental health
• Exceptional education tutors: Is the need for higher pay justifiable?

The following examples of research titles about education for college students are ideal for a project that will take a long duration to complete. Here are some education topics for research that you can consider for your degree.

• Modern classroom difficulties of students and teachers
• Strategies to reform the learning difficulties within schools
• The rising cost of tuition and its burden on middle-class parents
• The concept of creativity among public schools and how it can be harnessed
• Major difficulties experienced in academic staff training
• Evaluating the learning cultures of college students
• Use of scientific development techniques in student learning
• Research of skill development in high school and college students
• Modern grading methods in underdeveloped institutions
• Dissertations and the difficulties surrounding their completion
• Integration of new gender categories in personalized learning

These research topics about education require a direct quantitative analysis and study of major ideas and arguments. They often contain general statistics and figures to back up regular research. Some of such research topics in education include:

• The relationship between poor education and increased academic fees
• Creating a social link between homeschool and traditional schoolgoers
• The relationship between teacher satisfaction and student performance
• The divide between public and private school performance
• The merits of parental involvement in students’ cognitive growth.
• A study on child welfare and its impact on educational development
• The relationship between academic performance and economic growth
• Urbanization in rural areas and its contribution to institutional growth
• The relationship between students and professors in dissertation writing
• The link between debt accumulation and student loans
• Boarding schools and regular schools: The role these two school types play in cognitive development

Educational-related topics used for a thesis normally require a wide aspect of study and enough educational materials.  Here are some education research topics you can use for write my thesis .

• The difficulties of bilingual education in private universities
• Homework and its impact on learning processes in college education
• Dissertation topic selection: Key aspects and research obligations
• Social media research topics and their educational functions
• A detailed educational review of student learning via virtual reality techniques
• Ethnicities in universities and their participation in group activities
• The modern approach to self-studying for college students
• Developing time management skills in modern education
• Guidelines for teacher development in advanced educational institutions
• The need for religious education in boarding schools
• A measure of cognitive development using digital learning methods

A research title about school issues focuses on activities surrounding the school environment and its effects on students, teachers, parents, and education in general. Below are some sample research titles in education, relating to school issues.

• Learning English in bilingual schools
• A study of teachers’ role as parent figures on school grounds
• Addressing the increased use of illegal substances and their effects in schools
• The benefits of after-class activities for foreign students
• Assessing student and teacher relationships
• A study of the best methods to implement safety rules in school
• Major obstacles in meeting school schedules using boarding students as a case study
• The need for counseling in public and private schools: Which is greater?
• Academic volunteering in understaffed public schools
• Modern techniques for curbing school violence among college students
• The advantages and disadvantages of teacher unions in schools

As you create your proposed list of research topics in education, consider scientific journals for referencing purposes. Here are some Ph.D. research titles for education.

• The modern methods of academic research writing
• The role of colleges in advanced mental care
• The merits and demerits of Ph.D. studies in Europe and Africa
• Interpersonal relationships between students and professors in advanced institutions
• A review of community colleges: merits and demerits
• Assessing racism in academic ethnic minorities
• The psychological changes of students in higher education
• The questionable standards of student loan provisions
• The merits of personalized teaching techniques in colleges
• The wage gap between private and public university teachers
• Teacher responsibilities in private universities versus public universities

The research topics in elementary education in 2023 are very different from the elementary education research topics from five or ten years ago. This creates interesting grounds for different research titles for elementary education.

Here are some elementary education title research ideas.

• Assessing quick computer literacy among elementary school pupils.
• The role of video games in childhood brain development
• Male vs female role models in early education periods
• The advantages of digital textbooks in elementary schools
• The impact of modern curriculums on elementary education
• Lack of proper school grooming is a cause of violence.
• Should elementary school children be taught about LGBTQ?
• A review of the need for sexual education in elementary schools
• The effects of emotional dependence in early childhood learners.
• The need for constant technology supervision of elementary school students
• Advantages of computer-guided education in elementary schools

Here are some research title examples for students taking online classes.

• The academic difficulties experienced by online students.
• A study of decreased attention in online classes
• The upsides and downsides of online education
• The rising fees of online and traditional education in universities
• A detailed study on the necessity of college internships
• The need to provide college scholarships based on environmental achievements
• How online education terminates university fraternities and sororities.
• The role of academic supervisors in career selection
• Why interactive assignments improved learning capabilities during the pandemic
• Merits of education in online learning environments
• Why online lessons are the least effective for some college students

The modular learning approach focuses primarily on learning outcomes. Here are some examples of research titles about modular learning.

• Modular learning and the role of teachers in its execution
• Teaching techniques of religious institutions
• Potential risks of accelerated learning
• Modular learning on students’ future performances
• The general overview of modular learning amongst students
• The modern Advantages and disadvantages of inclusive classes
• Observing student developments in modular learning
• Music therapy for fostering modular learning techniques
• The creation of a personalized curriculum for students.
• Applications of modular learning both in home-schooling?
• The benefits of modular learning towards creating a more holistic educational system

These research title examples about education answer important questions and they can also be argumentative essay topics .

Here are some titles of research about education questions.

• What impacts do learning approaches provide for students?
• How can schools manage their increasing gender differences?
• What fosters the provision of learning needs?
• What are the best educational recruitment methods?
• How can cognitive development improve education?
• How can you assess the moral growth of institutions?
• What are the primary causes of educational differences in geographical locations?
• How can institutions address increasing mental health needs?
• Why is early intervention essential in students with mental health setbacks?
• What are the characteristics of mental health deterioration among students?
• What techniques are acceptable in regulating the violence of students in institutions

Some of the research title examples about education include:

• How do schools create more personalized learning methods?
• Evaluating mental health setbacks during education
• The impact of modern technology on special education
• The cognitive improvements via specialized learning in dyslexic children
• The psychological link between dyslexia and bullying in high school
• Impact of social isolation in special education classes
• The difficulties in providing specialized learning environments
• A study of orphan students with disabilities and their aptitudes for learning
• How special classes improve the self-esteem of disabled students.
• How to use modern teaching techniques in unique learning environments.
• A study of the application of digital games to autistic learning

Final words about education research topics

We have provided some reliable examples of a research topic about education you can use for write my thesis . You can use these research titles in education to cultivate your ideas, create inspiration, or for online research. Remember always to select a topic that you’re naturally passionate about and do diligent research, and reach out to our professional writing services if you need any help.

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30 Seriously Impressive Undergrad Research Projects

At UT, research isn’t exclusively for faculty and graduate students. Need proof? Just take a look at this impressive list of undergraduate research from this year. “ Unfeminist Coalition in Game of Thrones,” anyone?

At The University of Texas at Austin, r esearch is an essential part of our DNA. (Coincidentally,  DNA is an essential part of our research .)  UT is one of the most highly rated public research universities in the nation. 

But research isn’t exclusively within the purview of faculty and graduate students. Undergraduates can start as early as freshman year , supported by programs like student-run research journals , the EUREKA Research Database and the Freshman Research Initiative , the nation’s largest effort to involve first-year students in meaningful research, placing them in faculty-led laboratories working on real-world research projects.

Need more proof? Just take a look at this impressive list of undergraduate research poster presentations made at this year’s Research Week , UT’s annual celebration of undergraduate research and creative activity. (For the full list, go here .)

Analyzing and predicting shoreline change rates along the Aransas National Wildlife Refuge

Preston McLaughlin, geography

Bayesian modeling of neuron firing rate maps using a B-spline prior

Eszter Kish, neuroscience; Eric Rincon, computer science

Biological filtration of contaminants from drinking water

Ethan Howley

Building personality

Evan Delord, neuroscience

Computational sequencing and humanization of antibodies

Coral Loockerman, biology

Identifying a novel inhibitor for GES-5 Carbapenemase in Klebsiella pneumonia infections by virtual drug screening

Xenia Gonzalez, biology

Searching for high redshift (z=8) galaxies using the Brightest of Reionizing Galaxies survey (BoRG)

James Diekmann, astronomy

The Herschel Space Telescope confirms the decay of supersonic turbulence

Rebecca Larson, astronomy, physics

Transcriptional control of the Manganese Efflux Transporter, SLC30A10

Jonathan Mercado, biology

Arts and Humanities

Artistic freedom: What is the boundary between freedom of speech and the public good?

Crystal Schreiber, visual art studies; Yeun Jae Chang, visual art studies; Minhye Choi, studio art; Gregory Castillo, visual art studies

College athletics: Athletes first, students second?

Daniel Escobar, philosophy

Fakers of aboriginal art

Ashley Stanford, art history

From the bones of wolves: Guitar music from the southwest United States

Thales Smith, music performance, plan II

Meaning in public space: The Texas State Capitol as epideictic rhetoric

David DeVine, rhetoric and writing

Mistakes were made: On the use of agency and other factors in the analysis of political apology speeches

Alina Carnahan, rhetoric and writing

No crusades, no Columbus: A study of cultural interchange 1100–1500

Jeremy Wenzel, computer science

Rehabilitating canines: The journey of former fighting dogs

Larissa Zelezniak, history

The media and crime: What is real and what is perceived?

Michelle Jackson, psychology

Unfeminist coalition in Game of Thrones

Choyette Mahtab, anthropology

Social Sciences

Gender beliefs and mental health outcomes among Mexican Americans in borderland communities

Maria Renteria, social work, anthropology

Evolving obesity prevention policies in United States elementary schools: 1966–2014

Stephanie Astle, nursing

Investing foul play in financial crisis: An introduction to forensic finance

Kevin Mei, economics, finance

Online activism and networked feminism: Wendy Davis and her filibuster

Ketty Loo, psychology

Prevention of substance use with military veterans in college: Beliefs system and psychological distress

Christine Rodriguez, social work

Testing global colorectal cancer incidence in developing countries using risk factor data

Austin Porter, plan II

The development of auditory category learning: A computational modeling approach

Nicole Tsao, communication sciences and disorders

The effect of candidate race on federal campaign contributions

David Singer, government

The missing piece: Music in geriatric health

Alice Jean, environmental science

The war on coal: A case study in agenda setting

Hannah Johnson, geological sciences, government

Understanding speech patterns in young children with hearing impairments

Samantha Moses, John Torres (both communication sciences and disorders)

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151 Project Topics For Economics Undergraduate Students (2024)

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• March 15, 2024
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Selecting the right project topics for economics undergraduate students is crucial for students. It’s not just about completing an assignment; it’s an opportunity to delve into real-world economic issues, develop critical thinking skills, and lay the groundwork for future research. 

In this blog, we’ll explore various project topics suitable for economics undergraduates, breaking down the process into simple steps for an average reader to understand.

Table of Contents

General Considerations for Selecting Project Topics

• Relevance: Pick a subject that connects to what’s happening now in the economy, like recent problems or ideas. Make sure it’s something you’re interested in and fits with what you want to do in your studies and future job.
• Feasibility: Assess whether the research can be realistically conducted within the constraints of your undergraduate study. Consider the availability of data, resources, and time.
• Interest: Select a topic that genuinely interests you. A genuine interest will sustain motivation throughout the research process and lead to a more meaningful exploration of the subject matter.
• Contribution: Evaluate the potential for your research to make an original contribution to the field of economics. Consider whether your findings could fill a gap in existing literature or provide new insights.
• Scope: Define the scope of your project clearly. Ensure it is manageable given the resources and time available. A well-defined scope will help you stay focused and avoid getting overwhelmed.
• Alignment: Ensure the project topic aligns with the guidelines and objectives of your academic program or course. It should meet the requirements set by your professors or institution.
• Accessibility: Check the accessibility of relevant literature, data, and resources needed for your research. Ensure you can access the necessary information to support your study effectively.
• Ethical Considerations: Consider any ethical implications associated with your chosen topic, especially if it involves human subjects or sensitive data. Ensure that your research adheres to ethical standards and guidelines.

151 Project Topics For Economics Undergraduate Students

• The Impact of Government Spending on Economic Growth
• Determinants of Foreign Direct Investment Inflows
• Analyzing the Effects of Minimum Wage Policies on Employment Levels
• Consumer Preferences and Demand Elasticities for Renewable Energy Sources
• The Role of Education in Economic Development
• Effects of Trade Liberalization on Income Inequality
• Economic Analysis of Healthcare Systems
• Impacts of Climate Change on Agricultural Productivity
• Gender Wage Gap: Causes and Solutions
• The Economics of Poverty Alleviation Programs
• The Relationship between Education and Economic Growth
• Fiscal Policy and its Impact on Aggregate Demand
• The Economics of Immigration: Costs and Benefits
• Impact of Technological Innovation on Economic Growth
• Analysis of Economic Recessions and Recoveries
• Economic Consequences of Brexit
• The Role of Central Banks in Economic Stability
• Inflation Targeting and Monetary Policy
• Effects of Globalization on Income Distribution
• Economic Analysis of Natural Disasters
• Behavioral Economics: Understanding Irrational Behavior
• The Economics of Healthcare Insurance Markets
• Impact of Exchange Rate Volatility on Trade
• Analysis of Economic Development Strategies in Developing Countries
• The Economics of Crime and Punishment
• Effects of Income Taxation on Labor Supply
• Economic Impacts of Aging Populations
• The Economics of Urbanization
• Financial Market Regulation and Stability
• The Economics of Environmental Sustainability
• Effects of Government Subsidies on Market Efficiency
• Economic Implications of Social Welfare Programs
• Economic Analysis of Housing Markets
• Impact of Global Supply Chains on International Trade
• Economics of Education: Returns to Schooling
• The Economics of Healthcare Costs and Spending
• Economic Evaluation of Infrastructure Projects
• Analysis of Economic Growth Models
• Impacts of Global Financial Crises on Emerging Markets
• The Economics of Innovation and Entrepreneurship
• Economic Effects of Government Debt and Deficits
• The Role of Institutions in Economic Development
• Trade-offs between Economic Growth and Environmental Conservation
• Economic Analysis of Income Mobility and Inequality
• Effects of Monetary Policy on Asset Prices
• Economic Impacts of Population Aging
• The Economics of Foreign Aid
• Impact of Technology on Labor Market Dynamics
• Economic Determinants of Health and Healthcare Utilization
• Analysis of Economic Effects of Immigration Policies
• The Economics of Corruption and its Consequences
• Economic Implications of Intellectual Property Rights
• Evaluation of Economic Policies in Developing Countries
• Economic Analysis of Crime Prevention Strategies
• Effects of Global Financial Integration on Developing Countries
• The Economics of Sports Industry
• Impact of Tax Policy on Economic Behavior
• Economic Implications of Climate Change Policies
• Analysis of Economic Effects of Trade Agreements
• The Role of Behavioral Biases in Financial Markets
• Economic Effects of Education Reforms
• The Economics of Healthcare Access and Equity
• Effects of Economic Uncertainty on Consumer Behavior
• Economic Analysis of Immigration and Refugee Policies
• Impact of Labor Market Regulations on Employment
• Economics of International Migration
• Economic Consequences of Political Instability
• Analysis of Economic Effects of Health Interventions
• Economic Evaluation of Social Security Systems
• The Economics of Technological Change
• Effects of Financial Development on Economic Growth
• Economic Impacts of Climate Change Adaptation
• The Economics of Globalization and Trade Imbalances
• Impact of Government Regulations on Business Environment
• Economic Evaluation of Healthcare Interventions
• Analysis of Economic Effects of Population Growth
• Economic Implications of International Capital Flows
• The Economics of Behavioral Finance
• Effects of Education Quality on Economic Development
• Economic Analysis of Consumer Behavior in Online Markets
• Impact of Immigration on Labor Market Dynamics
• Economic Consequences of Trade Protectionism
• The Economics of Cybersecurity
• Effects of Exchange Rate Movements on Trade Balance
• Economic Impacts of Health Insurance Coverage
• Analysis of Economic Effects of Energy Policies
• Economic Evaluation of Poverty Alleviation Programs
• The Economics of Financial Crises and Regulatory Responses
• Impact of Taxation on Economic Growth
• Economics of Water Resource Management
• Economic Analysis of Health Inequality
• Effects of Financial Inclusion on Economic Development
• Economic Implications of Government Subsidies
• The Economics of Behavioral Change Interventions
• Analysis of Economic Effects of Foreign Aid Programs
• Economic Evaluation of Education Policies
• The Economics of Social Networks
• Effects of Trade Openness on Economic Growth
• Economic Impacts of Immigration Policies
• Impact of Government Spending on Income Distribution
• Economic Analysis of Education Inequality
• Economics of Sustainable Development Goals (SDGs)
• Effects of Financial Literacy Programs on Economic Behavior
• Economic Implications of Population Aging
• The Economics of Renewable Energy Adoption
• Analysis of Economic Effects of Health Expenditure
• Economic Evaluation of Public Infrastructure Projects
• The Economics of Income Redistribution
• Effects of Economic Globalization on Labor Markets
• Economic Impacts of Trade Agreements on Developing Countries
• Impact of Fiscal Policy on Economic Stability
• Economics of E-commerce and Digital Markets
• Economic Analysis of Gender Wage Gap
• Effects of Economic Inequality on Social Mobility
• Economic Implications of Aging Population on Pension Systems
• The Economics of Behavioral Interventions in Poverty Alleviation
• Analysis of Economic Effects of Trade Tariffs
• Economic Evaluation of Healthcare Delivery Systems
• The Economics of Financial Inclusion
• Impact of Technology Adoption on Economic Growth
• Economics of Family Planning Programs
• Economic Analysis of Entrepreneurship Development
• Effects of Corruption on Economic Growth
• Economic Implications of Universal Basic Income
• The Economics of Housing Affordability
• Analysis of Economic Effects of Immigration on Host Countries
• Economic Evaluation of Education Quality
• The Economics of Corporate Social Responsibility
• Effects of Economic Policies on Income Distribution
• Economic Impacts of Remittances on Developing Countries
• Impact of Financial Education Programs on Economic Behavior
• Economics of Health Insurance Markets
• Economic Analysis of Climate Change Mitigation Strategies
• The Economics of Social Impact Bonds
• Effects of International Trade on Environmental Sustainability
• Economic Implications of Income Inequality on Economic Growth
• Analysis of Economic Effects of Social Welfare Programs
• Economic Evaluation of Labor Market Interventions
• The Economics of Technological Innovation in Agriculture
• Impact of Monetary Policy on Exchange Rates
• Economics of Carbon Pricing
• Economic Analysis of Financial Inclusion Initiatives
• Effects of Government Spending on Infrastructure Development
• Economic Impacts of Foreign Direct Investment on Host Countries
• The Economics of Cryptocurrencies and Blockchain Technology
• Analysis of Economic Effects of Aging Population on Healthcare Systems
• Economic Evaluation of Community Development Programs
• The Economics of Behavioral Change in Energy Conservation
• Effects of Economic Development on Environmental Degradation
• Economic Implications of Aging Population on Social Security Systems
• Analysis of Economic Effects of Financial Literacy Programs

Best Research Methodology For Economics Projects

Quantitative analysis.

• Regression Analysis: Assess the relationship between dependent and independent variables using regression models, such as linear regression, logistic regression, or panel data regression.
• Time-Series Analysis: Study changes in variables over time to identify trends, patterns, and forecast future values using techniques like ARIMA models, VAR models, or time-series regression.
• Experimental Economics: Conduct controlled experiments to analyze economic behavior and test hypotheses, often used in studying decision-making processes, incentives, and policy interventions.

Econometric Modeling

• Structural Equation Modeling (SEM): Examine complex relationships among multiple variables by estimating latent constructs and their relationships.
• Simulations: Use computational models to simulate economic systems, policy impacts, or market dynamics to predict outcomes and analyze policy alternatives.

Qualitative Analysis

• Case Studies: Investigate specific economic phenomena, institutions, or policies in-depth, often using interviews, observations, and document analysis to understand complex causal relationships.
• Content Analysis: Analyze textual data from documents, policy papers, or media sources to uncover trends, themes, and discourses related to economic issues.
• Ethnographic Studies: Immerse in economic settings or communities to observe and understand economic behavior, social norms, and cultural influences on economic decisions.

Mixed-Methods Approach

• Triangulation: Combine quantitative and qualitative methods to corroborate findings, enhance understanding, and provide a comprehensive analysis of economic phenomena.
• Sequential Design: Collect and analyze quantitative data first, followed by qualitative data to explore, explain, or contextualize quantitative findings.

Data Collection Methods

• Surveys and Questionnaires: Gather primary data by administering structured or semi-structured surveys to individuals, households, or businesses to collect information on economic preferences, behavior, or perceptions.
• Secondary Data Analysis: Utilize existing datasets from government agencies, international organizations, or academic sources to conduct empirical research, analyze trends, and test economic hypotheses.

Sampling Techniques

• Random Sampling: Ensure representativeness and reduce bias by selecting samples randomly from the population of interest.
• Stratified Sampling: Divide the population into homogeneous strata and then randomly sample from each stratum to ensure proportional representation of subgroups.
• Cluster Sampling: Divide the population into clusters and randomly sample clusters to reduce costs and increase efficiency, especially when the population is geographically dispersed.

Validity and Reliability

• Ensure the validity of measurements and research findings by using reliable data sources, robust methodologies, and appropriate statistical techniques.
• Conduct sensitivity analyses , robustness checks, and validation procedures to assess the robustness and generalizability of research findings.

Ethical Considerations

• Adhere to ethical guidelines and principles when conducting research involving human subjects, sensitive data, or vulnerable populations.
• Obtain informed consent, protect privacy and confidentiality, and minimize harm to participants in accordance with institutional review board (IRB) or ethics committee requirements.

Choosing the best project topics for economics undergraduate students is an exciting opportunity to deepen their understanding of economic principles and contribute to the field’s knowledge. 

By considering factors such as relevance, feasibility, and personal interest, you can select a topic that not only meets academic requirements but also inspires curiosity and passion.

Remember, the journey of research is as valuable as the findings themselves, so embrace the process with enthusiasm and dedication. Happy researching!

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1000+ FREE Research Topics & Ideas

If you’re at the start of your research journey and are trying to figure out which research topic you want to focus on, you’ve come to the right place. Select your area of interest below to view a comprehensive collection of potential research ideas.

Research Topic FAQs

What (exactly) is a research topic.

A research topic is the subject of a research project or study – for example, a dissertation or thesis. A research topic typically takes the form of a problem to be solved, or a question to be answered.

A good research topic should be specific enough to allow for focused research and analysis. For example, if you are interested in studying the effects of climate change on agriculture, your research topic could focus on how rising temperatures have impacted crop yields in certain regions over time.

To learn more about the basics of developing a research topic, consider our free research topic ideation webinar.

What constitutes a good research topic?

A strong research topic comprises three important qualities : originality, value and feasibility.

• Originality – a good topic explores an original area or takes a novel angle on an existing area of study.
• Value – a strong research topic provides value and makes a contribution, either academically or practically.
• Feasibility – a good research topic needs to be practical and manageable, given the resource constraints you face.

To learn more about what makes for a high-quality research topic, check out this post .

What's the difference between a research topic and research problem?

A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study , while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.

To illustrate this distinction, consider a student who has chosen “teenage pregnancy in the United Kingdom” as their research topic. This research topic could encompass any number of issues related to teenage pregnancy such as causes, prevention strategies, health outcomes for mothers and babies, etc.

Within this broad category (the research topic) lies potential areas of inquiry that can be explored further – these become the research problems . For example:

• What factors contribute to higher rates of teenage pregnancy in certain communities?
• How do different types of parenting styles affect teen pregnancy rates?
• What interventions have been successful in reducing teenage pregnancies?

Simply put, a key difference between a research topic and a research problem is scope ; the research topic provides an umbrella under which multiple questions can be asked, while the research problem focuses on one specific question or set of questions within that larger context.

How can I find potential research topics for my project?

There are many steps involved in the process of finding and choosing a high-quality research topic for a dissertation or thesis. We cover these steps in detail in this video (also accessible below).

How can I find quality sources for my research topic?

Finding quality sources is an essential step in the topic ideation process. To do this, you should start by researching scholarly journals, books, and other academic publications related to your topic. These sources can provide reliable information on a wide range of topics. Additionally, they may contain data or statistics that can help support your argument or conclusions.

Identifying Relevant Sources

When searching for relevant sources, it’s important to look beyond just published material; try using online databases such as Google Scholar or JSTOR to find articles from reputable journals that have been peer-reviewed by experts in the field.

You can also use search engines like Google or Bing to locate websites with useful information about your topic. However, be sure to evaluate any website before citing it as a source—look for evidence of authorship (such as an “About Us” page) and make sure the content is up-to-date and accurate before relying on it.

Evaluating Sources

Once you’ve identified potential sources for your research project, take some time to evaluate them thoroughly before deciding which ones will best serve your purpose. Consider factors such as author credibility (are they an expert in their field?), publication date (is the source current?), objectivity (does the author present both sides of an issue?) and relevance (how closely does this source relate to my specific topic?).

By researching the current literature on your topic, you can identify potential sources that will help to provide quality information. Once you’ve identified these sources, it’s time to look for a gap in the research and determine what new knowledge could be gained from further study.

How can I find a good research gap?

Finding a strong gap in the literature is an essential step when looking for potential research topics. We explain what research gaps are and how to find them in this post.

How should I evaluate potential research topics/ideas?

When evaluating potential research topics, it is important to consider the factors that make for a strong topic (we discussed these earlier). Specifically:

• Originality
• Feasibility

So, when you have a list of potential topics or ideas, assess each of them in terms of these three criteria. A good topic should take a unique angle, provide value (either to academia or practitioners), and be practical enough for you to pull off, given your limited resources.

Finally, you should also assess whether this project could lead to potential career opportunities such as internships or job offers down the line. Make sure that you are researching something that is relevant enough so that it can benefit your professional development in some way. Additionally, consider how each research topic aligns with your career goals and interests; researching something that you are passionate about can help keep motivation high throughout the process.

How can I assess the feasibility of a research topic?

When evaluating the feasibility and practicality of a research topic, it is important to consider several factors.

First, you should assess whether or not the research topic is within your area of competence. Of course, when you start out, you are not expected to be the world’s leading expert, but do should at least have some foundational knowledge.

Time commitment

When considering a research topic, you should think about how much time will be required for completion. Depending on your field of study, some topics may require more time than others due to their complexity or scope.

Additionally, if you plan on collaborating with other researchers or institutions in order to complete your project, additional considerations must be taken into account such as coordinating schedules and ensuring that all parties involved have adequate resources available.

Resources needed

It’s also critically important to consider what type of resources are necessary in order to conduct the research successfully. This includes physical materials such as lab equipment and chemicals but can also include intangible items like access to certain databases or software programs which may be necessary depending on the nature of your work. Additionally, if there are costs associated with obtaining these materials then this must also be factored into your evaluation process.

Potential risks

It’s important to consider the inherent potential risks for each potential research topic. These can include ethical risks (challenges getting ethical approval), data risks (not being able to access the data you’ll need), technical risks relating to the equipment you’ll use and funding risks (not securing the necessary financial back to undertake the research).

If you’re looking for more information about how to find, evaluate and select research topics for your dissertation or thesis, check out our free webinar here . Alternatively, if you’d like 1:1 help with the topic ideation process, consider our private coaching services .

Psst… there’s more (for free)

This post is part of our dissertation mini-course, which covers everything you need to get started with your dissertation, thesis or research project. 

• Advisers & Contacts
• Bachelor of Arts & Bachelor of Science in Engineering
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Suggested Undergraduate Research Topics

How to Contact Faculty for IW/Thesis Advising

Send the professor an e-mail. When you write a professor, be clear that you want a meeting regarding a senior thesis or one-on-one IW project, and briefly describe the topic or idea that you want to work on. Check the faculty listing for email addresses.

Parastoo Abtahi, Room 419

Available for single-semester IW and senior thesis advising, 2023-2024

• Research Areas: Human-Computer Interaction (HCI), Augmented Reality (AR), and Spatial Computing
• Input techniques for on-the-go interaction (e.g., eye-gaze, microgestures, voice) with a focus on uncertainty, disambiguation, and privacy.
• Minimal and timely multisensory output (e.g., spatial audio, haptics) that enables users to attend to their physical environment and the people around them, instead of a 2D screen.
• Interaction with intelligent systems (e.g., IoT, robots) situated in physical spaces with a focus on updating users’ mental model despite the complexity and dynamicity of these systems.

Ryan Adams, Room 411

Research areas:

• Machine learning driven design
• Generative models for structured discrete objects
• Approximate inference in probabilistic models
• Accelerating solutions to partial differential equations
• Innovative uses of automatic differentiation
• Modeling and optimizing 3d printing and CNC machining

Andrew Appel, Room 209

• Research Areas: Formal methods, programming languages, compilers, computer security.
• Software verification (for which taking COS 326 / COS 510 is helpful preparation)
• Game theory of poker or other games (for which COS 217 / 226 are helpful)
• Computer game-playing programs (for which COS 217 / 226)
•  Risk-limiting audits of elections (for which ORF 245 or other knowledge of probability is useful)

Sanjeev Arora, Room 407

• Theoretical machine learning, deep learning and its analysis, natural language processing. My advisees would typically have taken a course in algorithms (COS423 or COS 521 or equivalent) and a course in machine learning.
• Show that finding approximate solutions to NP-complete problems is also NP-complete (i.e., come up with NP-completeness reductions a la COS 487). 
• Experimental Algorithms: Implementing and Evaluating Algorithms using existing software packages. 
• Studying/designing provable algorithms for machine learning and implementions using packages like scipy and MATLAB, including applications in Natural language processing and deep learning.
• Any topic in theoretical computer science.

David August, Room 221

• Research Areas: Computer Architecture, Compilers, Parallelism
• Containment-based approaches to security:  We have designed and tested a simple hardware+software containment mechanism that stops incorrect communication resulting from faults, bugs, or exploits from leaving the system.   Let's explore ways to use containment to solve real problems.  Expect to work with corporate security and technology decision-makers.
• Parallelism: Studies show much more parallelism than is currently realized in compilers and architectures.  Let's find ways to realize this parallelism.
• Any other interesting topic in computer architecture or compilers. 

Mark Braverman, 194 Nassau St., Room 231

Available for Spring 2024 single-semester IW, only

• Research Areas: computational complexity, algorithms, applied probability, computability over the real numbers, game theory and mechanism design, information theory.
• Topics in computational and communication complexity.
• Applications of information theory in complexity theory.
• Algorithms for problems under real-life assumptions.
• Game theory, network effects
• Mechanism design (could be on a problem proposed by the student)

Sebastian Caldas, 221 Nassau Street, Room 105

• Research Areas: collaborative learning, machine learning for healthcare. Typically, I will work with students that have taken COS324.
• Methods for collaborative and continual learning.
• Machine learning for healthcare applications.

Bernard Chazelle, 194 Nassau St., Room 301

• Research Areas: Natural Algorithms, Computational Geometry, Sublinear Algorithms. 
• Natural algorithms (flocking, swarming, social networks, etc).
• Sublinear algorithms
• Self-improving algorithms
• Markov data structures

Danqi Chen, Room 412

Not available for IW or thesis advising, 2023-2024

• My advisees would be expected to have taken a course in machine learning and ideally have taken COS484 or an NLP graduate seminar.
• Representation learning for text and knowledge bases
• Pre-training and transfer learning
• Question answering and reading comprehension
• Information extraction
• Text summarization
• Any other interesting topics related to natural language understanding/generation

Marcel Dall'Agnol, Corwin 034

Available for single-semester and senior thesis advising, 2023-2024

• Research Areas: Theoretical computer science. (Specifically, quantum computation, sublinear algorithms, complexity theory, interactive proofs and cryptography)

Jia Deng, Room 423

Available for Fall 2023 single-semester IW, only

•  Research Areas: Computer Vision, Machine Learning.
• Object recognition and action recognition
• Deep Learning, autoML, meta-learning
• Geometric reasoning, logical reasoning

Adji Bousso Dieng, Room 406

• Research areas: Vertaix is a research lab at Princeton University led by Professor Adji Bousso Dieng. We work at the intersection of artificial intelligence (AI) and the natural sciences. The models and algorithms we develop are motivated by problems in those domains and contribute to advancing methodological research in AI. We leverage tools in statistical machine learning and deep learning in developing methods for learning with the data, of various modalities, arising from the natural sciences.

Robert Dondero, Corwin Hall, Room 038

• Research Areas:  Software engineering; software engineering education.
• Develop or evaluate tools to facilitate student learning in undergraduate computer science courses at Princeton, and beyond.
• In particular, can code critiquing tools help students learn about software quality?

Zeev Dvir, 194 Nassau St., Room 250

Not available for IW or thesis advising, 2023-2024.

• Research Areas: computational complexity, pseudo-randomness, coding theory and discrete mathematics.
• Independent Research: I have various research problems related to Pseudorandomness, Coding theory, Complexity and Discrete mathematics - all of which require strong mathematical background. A project could also be based on writing a survey paper describing results from a few theory papers revolving around some particular subject.

Benjamin Eysenbach, Room 416

• Research areas: reinforcement learning, machine learning. My advisees would typically have taken COS324.
• Using RL algorithms to applications in science and engineering.
• Emergent behavior of RL algorithms on high-fidelity robotic simulators.
• Studying how architectures and representations can facilitate generalization.

Christiane Fellbaum, 1-S-14 Green

No longer available for single-term IW and senior thesis advising, 2023-2024

• Research Areas: theoretical and computational linguistics, word sense disambiguation, lexical resource construction, English and multilingual WordNet(s), ontology
• Anything having to do with natural language--come and see me with/for ideas suitable to your background and interests. Some topics students have worked on in the past:
• Developing parsers, part-of-speech taggers, morphological analyzers for underrepresented languages (you don't have to know the language to develop such tools!)
• Quantitative approaches to theoretical linguistics questions
• Extensions and interfaces for WordNet (English and WN in other languages),
• Applications of WordNet(s), including:
• Foreign language tutoring systems,
• Spelling correction software,
• Word-finding/suggestion software for ordinary users and people with memory problems,
• Machine Translation 
• Sentiment and Opinion detection
• Automatic reasoning and inferencing
• Collaboration with professors in the social sciences and humanities ("Digital Humanities")

Adam Finkelstein, Room 424 

• Research Areas: computer graphics, audio.

Robert S. Fish, Corwin Hall, Room 037

No longer available for single-semester IW and senior thesis advising, 2023-2024

• Networking and telecommunications
• Learning, perception, and intelligence, artificial and otherwise;
• Human-computer interaction and computer-supported cooperative work
• Online education, especially in Computer Science Education
• Topics in research and development innovation methodologies including standards, open-source, and entrepreneurship
• Distributed autonomous organizations and related blockchain technologies

Michael Freedman, Room 308 

• Research Areas: Distributed systems, security, networking
• Projects related to streaming data analysis, datacenter systems and networks, untrusted cloud storage and applications. Please see my group website at http://sns.cs.princeton.edu/ for current research projects.

Ruth Fong, Room 032

• Research Areas: computer vision, machine learning, deep learning, interpretability, explainable AI, fairness and bias in AI
• Develop a technique for understanding AI models
• Design a AI model that is interpretable by design
• Build a paradigm for detecting and/or correcting failure points in an AI model
• Analyze an existing AI model and/or dataset to better understand its failure points
• Build a computer vision system for another domain (e.g., medical imaging, satellite data, etc.)
• Develop a software package for explainable AI
• Adapt explainable AI research to a consumer-facing problem

Note: I am happy to advise any project if there's a sufficient overlap in interest and/or expertise; please reach out via email to chat about project ideas.

Tom Griffiths, Room 405

Research areas: computational cognitive science, computational social science, machine learning and artificial intelligence

Note: I am open to projects that apply ideas from computer science to understanding aspects of human cognition in a wide range of areas, from decision-making to cultural evolution and everything in between. For example, we have current projects analyzing chess game data and magic tricks, both of which give us clues about how human minds work. Students who have expertise or access to data related to games, magic, strategic sports like fencing, or other quantifiable domains of human behavior feel free to get in touch.

Aarti Gupta, Room 220

• Research Areas: Formal methods, program analysis, logic decision procedures
• Finding bugs in open source software using automatic verification tools
• Software verification (program analysis, model checking, test generation)
• Decision procedures for logical reasoning (SAT solvers, SMT solvers)

Elad Hazan, Room 409  

• Research interests: machine learning methods and algorithms, efficient methods for mathematical optimization, regret minimization in games, reinforcement learning, control theory and practice
• Machine learning, efficient methods for mathematical optimization, statistical and computational learning theory, regret minimization in games.
• Implementation and algorithm engineering for control, reinforcement learning and robotics
• Implementation and algorithm engineering for time series prediction

Felix Heide, Room 410

• Research Areas: Computational Imaging, Computer Vision, Machine Learning (focus on Optimization and Approximate Inference).
• Optical Neural Networks
• Hardware-in-the-loop Holography
• Zero-shot and Simulation-only Learning
• Object recognition in extreme conditions
• 3D Scene Representations for View Generation and Inverse Problems
• Long-range Imaging in Scattering Media
• Hardware-in-the-loop Illumination and Sensor Optimization
• Inverse Lidar Design
• Phase Retrieval Algorithms
• Proximal Algorithms for Learning and Inference
• Domain-Specific Language for Optics Design

Kyle Jamieson, Room 306

• Research areas: Wireless and mobile networking; indoor radar and indoor localization; Internet of Things
• See other topics on my independent work  ideas page  (campus IP and CS dept. login req'd)

Alan Kaplan, 221 Nassau Street, Room 105

Research Areas:

• Random apps of kindness - mobile application/technology frameworks used to help individuals or communities; topic areas include, but are not limited to: first response, accessibility, environment, sustainability, social activism, civic computing, tele-health, remote learning, crowdsourcing, etc.
• Tools automating programming language interoperability - Java/C++, React Native/Java, etc.
• Software visualization tools for education
• Connected consumer devices, applications and protocols

Brian Kernighan, Room 311

• Research Areas: application-specific languages, document preparation, user interfaces, software tools, programming methodology
• Application-oriented languages, scripting languages.
• Tools; user interfaces
• Digital humanities

Zachary Kincaid, Room 219

• Research areas: programming languages, program analysis, program verification, automated reasoning
• Independent Research Topics:
• Develop a practical algorithm for an intractable problem (e.g., by developing practical search heuristics, or by reducing to, or by identifying a tractable sub-problem, ...).
• Design a domain-specific programming language, or prototype a new feature for an existing language.
• Any interesting project related to programming languages or logic.

Gillat Kol, Room 316

Aleksandra korolova, 309 sherrerd hall.

Available for single-term IW and senior thesis advising, 2023-2024

• Research areas: Societal impacts of algorithms and AI; privacy; fair and privacy-preserving machine learning; algorithm auditing.

Advisees typically have taken one or more of COS 226, COS 324, COS 423, COS 424 or COS 445.

Amit Levy, Room 307

• Research Areas: Operating Systems, Distributed Systems, Embedded Systems, Internet of Things
• Distributed hardware testing infrastructure
• Second factor security tokens
• Low-power wireless network protocol implementation
• USB device driver implementation

Kai Li, Room 321

• Research Areas: Distributed systems; storage systems; content-based search and data analysis of large datasets.
• Fast communication mechanisms for heterogeneous clusters.
• Approximate nearest-neighbor search for high dimensional data.
• Data analysis and prediction of in-patient medical data.
• Optimized implementation of classification algorithms on manycore processors.

Xiaoyan Li, 221 Nassau Street, Room 104

• Research areas: Information retrieval, novelty detection, question answering, AI, machine learning and data analysis.
• Explore new statistical retrieval models for document retrieval and question answering.
• Apply AI in various fields.
• Apply supervised or unsupervised learning in health, education, finance, and social networks, etc.
• Any interesting project related to AI, machine learning, and data analysis.

Wyatt Lloyd, Room 323

• Research areas: Distributed Systems
• Caching algorithms and implementations
• Storage systems
• Distributed transaction algorithms and implementations

Margaret Martonosi, Room 208

• Quantum Computing research, particularly related to architecture and compiler issues for QC.
• Computer architectures specialized for modern workloads (e.g., graph analytics, machine learning algorithms, mobile applications
• Investigating security and privacy vulnerabilities in computer systems, particularly IoT devices.
• Other topics in computer architecture or mobile / IoT systems also possible.

Jonathan Mayer, Sherrerd Hall, Room 307 

• Research areas: Technology law and policy, with emphasis on national security, criminal procedure, consumer privacy, network management, and online speech.
• Assessing the effects of government policies, both in the public and private sectors.
• Collecting new data that relates to government decision making, including surveying current business practices and studying user behavior.
• Developing new tools to improve government processes and offer policy alternatives.

Andrés Monroy-Hernández, Room 405

• Research Areas: Human-Computer Interaction, Social Computing, Public-Interest Technology, Augmented Reality, Urban Computing
• Research interests:developing public-interest socio-technical systems.  We are currently creating alternatives to gig work platforms that are more equitable for all stakeholders. For instance, we are investigating the socio-technical affordances necessary to support a co-op food delivery network owned and managed by workers and restaurants. We are exploring novel system designs that support self-governance, decentralized/federated models, community-centered data ownership, and portable reputation systems.  We have opportunities for students interested in human-centered computing, UI/UX design, full-stack software development, and qualitative/quantitative user research.
• Beyond our core projects, we are open to working on research projects that explore the use of emerging technologies, such as AR, wearables, NFTs, and DAOs, for creative and out-of-the-box applications.

Christopher Moretti, Corwin Hall, Room 036

• Research areas: Distributed systems, high-throughput computing, computer science/engineering education
• Expansion, improvement, and evaluation of open-source distributed computing software.
• Applications of distributed computing for "big science" (e.g. biometrics, data mining, bioinformatics)
• Software and best practices for computer science education and study, especially Princeton's 126/217/226 sequence or MOOCs development
• Sports analytics and/or crowd-sourced computing

Radhika Nagpal, F316 Engineering Quadrangle

• Research areas: control, robotics and dynamical systems

Karthik Narasimhan, Room 422

• Research areas: Natural Language Processing, Reinforcement Learning
• Autonomous agents for text-based games ( https://www.microsoft.com/en-us/research/project/textworld/ )
• Transfer learning/generalization in NLP
• Techniques for generating natural language
• Model-based reinforcement learning

Arvind Narayanan, 308 Sherrerd Hall 

Research Areas: fair machine learning (and AI ethics more broadly), the social impact of algorithmic systems, tech policy

Pedro Paredes, Corwin Hall, Room 041

My primary research work is in Theoretical Computer Science.

 * Research Interest: Spectral Graph theory, Pseudorandomness, Complexity theory, Coding Theory, Quantum Information Theory, Combinatorics.

The IW projects I am interested in advising can be divided into three categories:

 1. Theoretical research

I am open to advise work on research projects in any topic in one of my research areas of interest. A project could also be based on writing a survey given results from a few papers. Students should have a solid background in math (e.g., elementary combinatorics, graph theory, discrete probability, basic algebra/calculus) and theoretical computer science (226 and 240 material, like big-O/Omega/Theta, basic complexity theory, basic fundamental algorithms). Mathematical maturity is a must.

A (non exhaustive) list of topics of projects I'm interested in:   * Explicit constructions of better vertex expanders and/or unique neighbor expanders.   * Construction deterministic or random high dimensional expanders.   * Pseudorandom generators for different problems.   * Topics around the quantum PCP conjecture.   * Topics around quantum error correcting codes and locally testable codes, including constructions, encoding and decoding algorithms.

 2. Theory informed practical implementations of algorithms   Very often the great advances in theoretical research are either not tested in practice or not even feasible to be implemented in practice. Thus, I am interested in any project that consists in trying to make theoretical ideas applicable in practice. This includes coming up with new algorithms that trade some theoretical guarantees for feasible implementation yet trying to retain the soul of the original idea; implementing new algorithms in a suitable programming language; and empirically testing practical implementations and comparing them with benchmarks / theoretical expectations. A project in this area doesn't have to be in my main areas of research, any theoretical result could be suitable for such a project.

Some examples of areas of interest:   * Streaming algorithms.   * Numeric linear algebra.   * Property testing.   * Parallel / Distributed algorithms.   * Online algorithms.    3. Machine learning with a theoretical foundation

I am interested in projects in machine learning that have some mathematical/theoretical, even if most of the project is applied. This includes topics like mathematical optimization, statistical learning, fairness and privacy.

One particular area I have been recently interested in is in the area of rating systems (e.g., Chess elo) and applications of this to experts problems.

Final Note: I am also willing to advise any project with any mathematical/theoretical component, even if it's not the main one; please reach out via email to chat about project ideas.

Iasonas Petras, Corwin Hall, Room 033

• Research Areas: Information Based Complexity, Numerical Analysis, Quantum Computation.
• Prerequisites: Reasonable mathematical maturity. In case of a project related to Quantum Computation a certain familiarity with quantum mechanics is required (related courses: ELE 396/PHY 208).
• Possible research topics include:

1.   Quantum algorithms and circuits:

• i. Design or simulation quantum circuits implementing quantum algorithms.
• ii. Design of quantum algorithms solving/approximating continuous problems (such as Eigenvalue problems for Partial Differential Equations).

2.   Information Based Complexity:

• i. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems in various settings (for example worst case or average case). 
• ii. Necessary and sufficient conditions for tractability of Linear and Linear Tensor Product Problems under new tractability and error criteria.
• iii. Necessary and sufficient conditions for tractability of Weighted problems.
• iv. Necessary and sufficient conditions for tractability of Weighted Problems under new tractability and error criteria.

3. Topics in Scientific Computation:

• i. Randomness, Pseudorandomness, MC and QMC methods and their applications (Finance, etc)

Yuri Pritykin, 245 Carl Icahn Lab

• Research interests: Computational biology; Cancer immunology; Regulation of gene expression; Functional genomics; Single-cell technologies.
• Potential research projects: Development, implementation, assessment and/or application of algorithms for analysis, integration, interpretation and visualization of multi-dimensional data in molecular biology, particularly single-cell and spatial genomics data.

Benjamin Raphael, Room 309  

• Research interests: Computational biology and bioinformatics; Cancer genomics; Algorithms and machine learning approaches for analysis of large-scale datasets
• Implementation and application of algorithms to infer evolutionary processes in cancer
• Identifying correlations between combinations of genomic mutations in human and cancer genomes
• Design and implementation of algorithms for genome sequencing from new DNA sequencing technologies
• Graph clustering and network anomaly detection, particularly using diffusion processes and methods from spectral graph theory

Vikram Ramaswamy, 035 Corwin Hall

• Research areas: Interpretability of AI systems, Fairness in AI systems, Computer vision.
• Constructing a new method to explain a model / create an interpretable by design model
• Analyzing a current model / dataset to understand bias within the model/dataset
• Proposing new fairness evaluations
• Proposing new methods to train to improve fairness
• Developing synthetic datasets for fairness / interpretability benchmarks
• Understanding robustness of models

Ran Raz, Room 240

• Research Area: Computational Complexity
• Independent Research Topics: Computational Complexity, Information Theory, Quantum Computation, Theoretical Computer Science

Szymon Rusinkiewicz, Room 406

• Research Areas: computer graphics; computer vision; 3D scanning; 3D printing; robotics; documentation and visualization of cultural heritage artifacts
• Research ways of incorporating rotation invariance into computer visiontasks such as feature matching and classification
• Investigate approaches to robust 3D scan matching
• Model and compensate for imperfections in 3D printing
• Given a collection of small mobile robots, apply control policies learned in simulation to the real robots.

Olga Russakovsky, Room 408

• Research Areas: computer vision, machine learning, deep learning, crowdsourcing, fairness&bias in AI
• Design a semantic segmentation deep learning model that can operate in a zero-shot setting (i.e., recognize and segment objects not seen during training)
• Develop a deep learning classifier that is impervious to protected attributes (such as gender or race) that may be erroneously correlated with target classes
• Build a computer vision system for the novel task of inferring what object (or part of an object) a human is referring to when pointing to a single pixel in the image. This includes both collecting an appropriate dataset using crowdsourcing on Amazon Mechanical Turk, creating a new deep learning formulation for this task, and running extensive analysis of both the data and the model

Sebastian Seung, Princeton Neuroscience Institute, Room 153

• Research Areas: computational neuroscience, connectomics, "deep learning" neural networks, social computing, crowdsourcing, citizen science
• Gamification of neuroscience (EyeWire  2.0)
• Semantic segmentation and object detection in brain images from microscopy
• Computational analysis of brain structure and function
• Neural network theories of brain function

Jaswinder Pal Singh, Room 324

• Research Areas: Boundary of technology and business/applications; building and scaling technology companies with special focus at that boundary; parallel computing systems and applications: parallel and distributed applications and their implications for software and architectural design; system software and programming environments for multiprocessors.
• Develop a startup company idea, and build a plan/prototype for it.
• Explore tradeoffs at the boundary of technology/product and business/applications in a chosen area.
• Study and develop methods to infer insights from data in different application areas, from science to search to finance to others. 
• Design and implement a parallel application. Possible areas include graphics, compression, biology, among many others. Analyze performance bottlenecks using existing tools, and compare programming models/languages.
• Design and implement a scalable distributed algorithm.

Mona Singh, Room 420

• Research Areas: computational molecular biology, as well as its interface with machine learning and algorithms.
• Whole and cross-genome methods for predicting protein function and protein-protein interactions.
• Analysis and prediction of biological networks.
• Computational methods for inferring specific aspects of protein structure from protein sequence data.
• Any other interesting project in computational molecular biology.

Robert Tarjan, 194 Nassau St., Room 308

Available for single-semester IW and senior thesis advising, 2022-2023

• Research Areas: Data structures; graph algorithms; combinatorial optimization; computational complexity; computational geometry; parallel algorithms.
• Implement one or more data structures or combinatorial algorithms to provide insight into their empirical behavior.
• Design and/or analyze various data structures and combinatorial algorithms.

Olga Troyanskaya, Room 320

• Research Areas: Bioinformatics; analysis of large-scale biological data sets (genomics, gene expression, proteomics, biological networks); algorithms for integration of data from multiple data sources; visualization of biological data; machine learning methods in bioinformatics.
• Implement and evaluate one or more gene expression analysis algorithm.
• Develop algorithms for assessment of performance of genomic analysis methods.
• Develop, implement, and evaluate visualization tools for heterogeneous biological data.

David Walker, Room 211

• Research Areas: Programming languages, type systems, compilers, domain-specific languages, software-defined networking and security
• Independent Research Topics:  Any other interesting project that involves humanitarian hacking, functional programming, domain-specific programming languages, type systems, compilers, software-defined networking, fault tolerance, language-based security, theorem proving, logic or logical frameworks.

Shengyi Wang, Postdoctoral Research Associate, Room 216

• Independent Research topics: Explore Escher-style tilings using (introductory) group theory and automata theory to produce beautiful pictures.

Kevin Wayne, Corwin Hall, Room 040

• Research Areas: design, analysis, and implementation of algorithms; data structures; combinatorial optimization; graphs and networks.
• Design and implement computer visualizations of algorithms or data structures.
• Develop pedagogical tools or programming assignments for the computer science curriculum at Princeton and beyond.
• Develop assessment infrastructure and assessments for MOOCs.

Matt Weinberg, 194 Nassau St., Room 222

• Research Areas: algorithms, algorithmic game theory, mechanism design, game theoretical problems in {Bitcoin, networking, healthcare}.
• Theoretical questions related to COS 445 topics such as matching theory, voting theory, auction design, etc. 
• Theoretical questions related to incentives in applications like Bitcoin, the Internet, health care, etc. In a little bit more detail: protocols for these systems are often designed assuming that users will follow them. But often, users will actually be strictly happier to deviate from the intended protocol. How should we reason about user behavior in these protocols? How should we design protocols in these settings?

Huacheng Yu, Room 310

• data structures
• streaming algorithms
• design and analyze data structures / streaming algorithms
• prove impossibility results (lower bounds)
• implement and evaluate data structures / streaming algorithms

Ellen Zhong, Room 314

No longer available for single-term IW  and senior thesis advising, 2023-2024

Opportunities outside the department

We encourage students to look in to doing interdisciplinary computer science research and to work with professors in departments other than computer science.  However, every CS independent work project must have a strong computer science element (even if it has other scientific or artistic elements as well.)  To do a project with an adviser outside of computer science you must have permission of the department.  This can be accomplished by having a second co-adviser within the computer science department or by contacting the independent work supervisor about the project and having he or she sign the independent work proposal form.

Here is a list of professors outside the computer science department who are eager to work with computer science undergraduates.

Maria Apostolaki, Engineering Quadrangle, C330

• Research areas: Computing & Networking, Data & Information Science, Security & Privacy

Branko Glisic, Engineering Quadrangle, Room E330

• Documentation of historic structures
• Cyber physical systems for structural health monitoring
• Developing virtual and augmented reality applications for documenting structures
• Applying machine learning techniques to generate 3D models from 2D plans of buildings
•  Contact : Rebecca Napolitano, rkn2 (@princeton.edu)

Mihir Kshirsagar, Sherrerd Hall, Room 315

Center for Information Technology Policy.

• Consumer protection
• Content regulation
• Competition law
• Economic development
• Surveillance and discrimination

Sharad Malik, Engineering Quadrangle, Room B224

Select a Senior Thesis Adviser for the 2020-21 Academic Year.

• Design of reliable hardware systems
• Verifying complex software and hardware systems

Prateek Mittal, Engineering Quadrangle, Room B236

• Internet security and privacy 
• Social Networks
• Privacy technologies, anonymous communication
• Network Science
• Internet security and privacy: The insecurity of Internet protocols and services threatens the safety of our critical network infrastructure and billions of end users. How can we defend end users as well as our critical network infrastructure from attacks?
• Trustworthy social systems: Online social networks (OSNs) such as Facebook, Google+, and Twitter have revolutionized the way our society communicates. How can we leverage social connections between users to design the next generation of communication systems?
• Privacy Technologies: Privacy on the Internet is eroding rapidly, with businesses and governments mining sensitive user information. How can we protect the privacy of our online communications? The Tor project (https://www.torproject.org/) is a potential application of interest.

Ken Norman,  Psychology Dept, PNI 137

• Research Areas: Memory, the brain and computation 
• Lab:  Princeton Computational Memory Lab

Potential research topics

• Methods for decoding cognitive state information from neuroimaging data (fMRI and EEG) 
• Neural network simulations of learning and memory

Caroline Savage

Office of Sustainability, Phone:(609)258-7513, Email: cs35 (@princeton.edu)

The  Campus as Lab  program supports students using the Princeton campus as a living laboratory to solve sustainability challenges. The Office of Sustainability has created a list of campus as lab research questions, filterable by discipline and topic, on its  website .

An example from Computer Science could include using  TigerEnergy , a platform which provides real-time data on campus energy generation and consumption, to study one of the many energy systems or buildings on campus. Three CS students used TigerEnergy to create a  live energy heatmap of campus .

Other potential projects include:

• Apply game theory to sustainability challenges
• Develop a tool to help visualize interactions between complex campus systems, e.g. energy and water use, transportation and storm water runoff, purchasing and waste, etc.
• How can we learn (in aggregate) about individuals’ waste, energy, transportation, and other behaviors without impinging on privacy?

Janet Vertesi, Sociology Dept, Wallace Hall, Room 122

• Research areas: Sociology of technology; Human-computer interaction; Ubiquitous computing.
• Possible projects: At the intersection of computer science and social science, my students have built mixed reality games, produced artistic and interactive installations, and studied mixed human-robot teams, among other projects.

David Wentzlaff, Engineering Quadrangle, Room 228

Computing, Operating Systems, Sustainable Computing.

• Instrument Princeton's Green (HPCRC) data center
• Investigate power utilization on an processor core implemented in an FPGA
• Dismantle and document all of the components in modern electronics. Invent new ways to build computers that can be recycled easier.
• Other topics in parallel computer architecture or operating systems

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Biology education project topics for final year students

Choosing the right final year project topic is crucial for biology education students. It not only showcases their knowledge and understanding but also sets the foundation for future research and career prospects. In this digital age, finding reliable and comprehensive resources can be a challenge. However, samphina.com.ng has emerged as the leading website, offering an unparalleled collection of high-quality final-year project topics for biology education . Its extensive range of topics, user-friendly interface, updated content, detailed abstracts, quality assurance, and supportive community make it the ideal platform for students seeking inspiration and guidance for their final-year projects. By leveraging the resources provided by samphina.com.ng, students can embark on their research journey with confidence, setting the stage for a successful future in the field of biology education.

Below are some list of final year project topics for Biology Education Students. List of Biology Education Project Topics For Final Year Students 1. Empirical Study Of Inclusive Education And The Effects On Teaching Of Biology 2. Effect Of Two Modes Of Blended Teaching Approach On Student Achievement In Biology 3. Comparative Analysis Of Biology Delivery Contents In Conventional And Universities 4. Impact Of Projected Instructional Media On Secondary School Students Academic Achievement In Biology 5. Effect Of Banditry On Biology Student In Federal College Of Education Kontagora, Niger State 6. Assessment Of The Availability And Adequacy Of Audio Visual Resources In Teaching Biology Education 7. Information And Communication Technology Competence Possessed By Biology Teachers In Secondary Schools In Enugu State 8. The Impact Of Parents Socio-Economic Status On The Academic Performance Of Secondary School Biology Student 9. Teachers Attitude And Competence In Practical Skills As Correlates Of Students’ Performance In Biology

10. Effects Of Cooperative Learning Strategy On Biology Students Academic Achievement And Retention In Senior Secondary Schools, Jigawa State, Nigeria 11. The Impact Of Biology Education In Tertiary Institution Of Learning 12. Effect Of Mode Of Laboratory Work On Senior Secondary School Students’ Achievement In Biology 13. Safety Measures For The Prevention Of Laboratory Accidents Among Secondary School Biology Students 14. Effects Of 7E-Learning Cycle Model On Academic Performance Of Students In Biology 15. The Use And The Learning Outcome Of Smart Devices By Biology Teachers In The Post Covid19 Era 16. A Survey Of Biology Laboratories And Its Impact On Students Achievement In SSCE NECO Examination 17. Effects Of Teachers’ Knowledge Of Subject Matter, Utilization Of Resources And Classroom Management On The Academic Achievement Of Students In Biology 18. Effect Of Family Background Variables On Secondary School Students’ Academic Achievement In Biology 19. Students’ Perception Of Biology Classroom Environment On Their Academic Achievement In Senior Secondary Schools 20. Impact Of Indigenous Practices On Senior Secondary School Biology Students’ Achievement 21. The Effect Of Task Size On Secondary School Students’ Achievement In Biology 22. The Biology Teachers’ State Of Readiness For Integrating ICT In Teaching And Learning In Selected Schools 23. Impact Of Biology Education In The Development Of Nigeria

24. The Effect Of Socio-Economic Background On Academic Performance Of Secondary School Biology Student 25. Constraints Of Effective Teaching And Learning Of Biology 26. Teachers Awareness And Utilization Of ICT Facilities In Teaching Biology In Osun State 27. Abundance Of Mosquito Species Within Yobe Metropolis 28. Adequate Use Of Teaching Materials In Promoting Biology Teaching And Learning In Public Secondary School 29. Relationship Between Emotional Intelligence And Academic Achievement Of Senior Secondary School Students In Biology 30. The Effects Of Two Teaching Methods On Secondary School Students Performance In Biology. 31. Influence Of Modelling On Biology Students Achievement In Secondary Schools At Enugu East Local Government 32. The Effect Of Improvisation Of Instructional Materials For Biology Instruction In Senior Secondary Schools 33. Effects Of Modelling On Students Performance In Biology In Some Selected Secondary Schools 34. Relative Effects Of Teacher – Directed And Student – Directed Instructional Strategies On Students’ Environmental Knowledge In Biology 35. Personality Trait And Academic Performance In Biology Of Secondary School Students In Boki Local Government Area Cross River State 36. Psychological Factors Influencing Students’ Academic Achievement In Biology In Some Selected Secondary Schools In Ilorin, Kwara State 37. Motivational Roles Of Parents And Teachers In The Effective Teaching And Learning Of Biology In Senior Secondary Schools 38. Causes Of Failure In Senior Secondary School Biology 39. Investigation To The Influence Of Instructional Material On Teaching Of Biology And Academic Achievement Among Nursing School Student In Ilorin,Kwara State 40. Effect Of Teaching Aids On Students Academic Performance In Biology (A Case Study Of Selected Secondary Schools In Port Harcourt Rivers State) 41. Impact Of Biology Education Towards Achieving Sustainable National Development

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Eduprojects.ng is a reputable online educational resource center where you find thoroughly researched project topics in education, accounting project topics in pdf and doc, economics project topics, student proposals and other educational materials for the award of bsc, msc/mba, hnd and diploma, we have archived a massive list of undergraduate project topics for university/college students., find your project topic quickly:.

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199+ Project Topics for Economics Undergraduate Students

Understanding why economics matters for students is crucial. It acts as a guide, helping students navigate the complexities of our global world. In a society influenced by economic forces, having knowledge of economics empowers students to grasp how things work, make informed choices, and contribute meaningfully to the future. Recognizing the intricate nature of economic concepts, our blog steps in as a helpful resource for undergraduates. 

However, this blog thoughtfully gathers a variety of project topics, offering a clear path for students to explore the details of economic theories, policies, and research. Here, you’ll discover a range of interesting subjects that not only fulfill academic requirements but also deepen your understanding of the diverse world of economics. Join us on this enlightening journey as we explore the importance of economics and dive into engaging project topics for economics undergraduate students.

What is a Project in Economics?

Table of Contents

In economics, a project typically refers to a focused research endeavor aimed at exploring and analyzing specific economic phenomena. These projects can cover a wide range of topics, such as examining market trends, assessing policy impacts, or conducting empirical studies. Students often undertake economic projects to gain practical insights, enhance analytical skills, and apply theoretical knowledge to real-world scenarios. The outcomes of these projects may include reports, presentations, or papers that contribute to a deeper understanding of economic principles and their practical implications.

Benefits of Using Project Topics for Economics Undergraduate Students

Here are some benefits of economics project ideas for students:

• Focused Learning: Project topics offer a concentrated study on specific aspects of economics, allowing students to delve deep into a particular area of interest.
• Applied Knowledge: Engaging in projects enables students to apply theoretical concepts to real-world situations, fostering a practical understanding of economic principles.
• Analytical Skills: Researching and presenting a project hones analytical skills, teaching students to critically evaluate data, draw conclusions, and communicate findings effectively.
• Preparation for Future Endeavors: Completing projects prepares undergraduates for future academic and professional challenges by honing research, writing, and presentation skills essential for success in various fields.
• Personalized Exploration: Students have the freedom to choose project topics aligned with their passions, making the learning process more enjoyable and personally fulfilling.

Criteria for Choosing Economics Project Topics

1. Interest Alignment

Select a project topic that aligns with your personal interests within the broad field of economics.

2. Relevance

Ensure the chosen topic is relevant to current economic issues or addresses a specific aspect of economic theory, policy, or practice.

3. Feasibility

Consider the availability of data, resources, and time constraints to ensure the chosen project is realistic and achievable.

Choose a topic with the potential to contribute valuable insights or solutions to existing economic challenges.

5. Supervisor Guidance

Seek input from mentors or professors to ensure the chosen project aligns with academic standards and objectives.

List of Project Topics for Economics Undergraduate Students

The following list comprises project topics for economics undergraduate students. These topics offering a diverse array of research avenues for students to explore and delve into the multifaceted world of economic analysis.

Macroeconomics

• Impact of Fiscal Policy on Economic Growth
• Analysis of Inflation and its Effects on the Economy
• The Role of Central Banks in Monetary Policy
• Government Debt and its Implications on the Economy
• Unemployment Dynamics: Causes and Solutions
• Exchange Rate Movements and International Trade
• Economic Consequences of Population Aging
• Business Cycles and Economic Fluctuations
• The Phillips Curve: Theory and Empirical Evidence
• Effects of Global Economic Shocks on Domestic Economies

Microeconomics

• Market Structure and its Impact on Firm Behavior
• Consumer Behavior in the Digital Age
• Game Theory and Strategic Decision Making
• Pricing Strategies and Market Competition
• Externalities and Market Failures
• The Economics of Information and Asymmetric Information
• Labor Market Dynamics and Wage Determination
• Analysis of Cartels and Antitrust Policies
• Impact of Government Regulations on Industries
• Economics of Network Industries

Development Economics

• Poverty Alleviation Strategies in Developing Countries
• Role of Foreign Aid in Economic Development
• Gender Inequality and Economic Development
• The Informal Economy in Developing Nations
• Impact of Education on Economic Development
• Infrastructure Development and Economic Growth
• Agricultural Policies and Rural Development
• Technological Innovation and Economic Progress
• Sustainable Development Goals (SDGs) and Economic Policies
• Microfinance and Entrepreneurship in Developing Economies

International Economics

• Globalization and its Effects on National Economies
• Trade Liberalization and Economic Growth
• Foreign Direct Investment (FDI) and Host Country Development
• Exchange Rate Volatility and Trade Flows
• Trade Policies and Regional Integration
• Balance of Payments: Causes and Consequences
• Economic Integration in the European Union
• Currency Crises and Financial Contagion
• Comparative Advantage and Trade Patterns
• International Migration and its Economic Impacts

Environmental Economics

• Economic Valuation of Ecosystem Services
• Carbon Pricing and Climate Change Mitigation
• The Economics of Renewable Energy
• Deforestation and Economic Consequences
• Environmental Regulations and Industry Compliance
• Sustainable Resource Management
• Economic Analysis of Pollution Control Policies
• Biodiversity Conservation and Economic Development
• Water Scarcity and Economic Adaptation
• Green Technology Adoption in Industry

Behavioral Economics

• Nudging and Behavioral Interventions in Public Policy
• Prospect Theory and Decision Making under Uncertainty
• Behavioral Economics of Savings and Investment
• Social Preferences and Economic Choices
• Cognitive Biases in Economic Decision Making
• Emotions and Economic Behavior
• Fairness and Equity in Economic Exchanges
• Impulse Buying and Consumer Behavior
• Neuroeconomics: Integrating Neuroscience and Economics
• Cultural Influences on Economic Decision Making

Financial Economics

• Asset Pricing Models and Investment Strategies
• Financial Market Efficiency and Anomalies
• Corporate Finance and Capital Structure Decisions
• Financial Regulation and Market Stability
• Risk Management in Financial Institutions
• Behavioral Finance in Stock Market Trading
• Derivatives Markets and Hedging Strategies
• Impact of Information Technology on Financial Markets
• Credit Markets and Banking Crises
• Initial Public Offerings (IPOs) and Market Performance

Health Economics

• The Economics of Healthcare Financing
• Demand for Health Services and Healthcare Utilization
• Economic Analysis of Public Health Interventions
• Health Insurance and Access to Medical Care
• Pharmaceutical Pricing and Market Dynamics
• Economic Burden of Chronic Diseases
• Global Health Economics: Challenges and Opportunities
• Healthcare Expenditure and Economic Growth
• Behavioral Factors in Health Decision Making
• Economic Evaluation of Health Programs

Labour Economics

• Wage Inequality and Income Distribution
• Impact of Technological Change on Employment
• Gender Wage Gap: Causes and Solutions
• Labor Market Flexibility and Economic Performance
• Unemployment Insurance and Labor Market Dynamics
• Impact of Minimum Wage Laws on Employment
• Job Training Programs and Skill Development
• Aging Workforce and Retirement Policies
• Labor Market Discrimination: Evidence and Remedies
• Gig Economy and Changing Work Patterns

Public Economics

• Taxation Policies and Economic Efficiency
• Public Expenditure and Economic Growth
• Social Security and Intergenerational Equity
• Government Subsidies and Market Distortions
• Public-Private Partnerships in Infrastructure Development
• Cost-Benefit Analysis of Public Projects
• Fiscal Federalism and Local Government Finances
• Political Economy of Public Policy Choices
• The Economics of Welfare Programs
• Public Goods and Collective Decision Making

Industrial Organization

• Market Power and Pricing Strategies
• Entry and Exit in Competitive Markets
• Mergers and Acquisitions: Economic Implications
• Network Effects and Market Dominance
• Product Differentiation and Consumer Preferences
• Vertical Integration and Supply Chain Management
• Innovation and Competition in High-Tech Industries
• Monopoly Regulation and Consumer Protection
• Antitrust Policies in Dynamic Industries
• Market Structure and Innovation Incentives

Econometrics

• Time Series Analysis and Forecasting
• Panel Data Econometrics: Applications and Challenges
• Instrumental Variables and Endogeneity Issues
• Causal Inference in Observational Studies
• Bayesian Econometrics and Model Uncertainty
• Machine Learning in Economic Forecasting
• Nonparametric Methods in Econometric Analysis
• Testing for Unit Roots and Structural Breaks
• Spatial Econometrics: Models and Estimation
• Robust Estimation Techniques in

Advanced Econometric Techniques

• Granger Causality and Time Series Relationships
• Monte Carlo Simulations in Econometric Modeling
• Forecast Evaluation and Model Comparison
• Nonlinear Dynamics and Chaos Theory in Econometrics
• Endogeneity in Cross-Sectional Data Analysis
• Forecasting Volatility in Financial Markets
• Instrument Selection in Instrumental Variable Estimation
• Machine Learning Approaches to Causal Inference
• Bayesian Model Averaging in Econometric Analysis
• Quantile Regression and Tail Analysis

Monetary Economics

• The Role of Money in the Modern Economy
• Monetary Policy Transmission Mechanisms
• Central Bank Independence and Monetary Stability
• Digital Currencies and the Future of Money
• Quantitative Easing and Unconventional Monetary Policy
• The Phillips Curve and Inflation Expectations
• Optimal Currency Areas and Exchange Rate Regimes
• Financial Innovation and Monetary Policy Challenges
• Hyperinflation: Causes and Consequences
• International Reserves and Monetary Policy Coordination

Urban and Regional Economics

• Urbanization and Economic Development
• The Economics of Gentrification
• Regional Disparities in Economic Growth
• Transportation Infrastructure and Urbanization
• Agglomeration Economies and City Dynamics
• Housing Markets and Urban Planning
• Local Government Finance and Fiscal Policies
• Migration Patterns and Regional Labor Markets
• Smart Cities: Technology and Urban Efficiency
• Urban Sustainability and Environmental Economics

Economics of Education

• The Impact of Education on Income Inequality
• School Choice and Education Outcomes
• Education Quality and Economic Development
• The Economics of College Access and Affordability
• Teacher Incentives and Student Performance
• Educational Technology and Learning Outcomes
• Early Childhood Education and Long-Term Effects
• Vocational Education and Labor Market Outcomes
• Education Financing and Student Loan Debts
• Gender Disparities in Education Attainment

Agricultural Economics

• Agricultural Subsidies and Market Distortions
• Climate Change and Agriculture: Impacts and Adaptations
• Farm Management and Efficiency Analysis
• Agricultural Trade Policies and Global Markets
• Land Tenure Systems and Agricultural Productivity
• Sustainable Agriculture Practices and Economic Viability
• Rural-Urban Linkages and Agricultural Development
• Agricultural Extension Services and Technology Adoption
• Food Security and Poverty Alleviation in Rural Areas
• Agribusiness and Value Chain Analysis

Economics of Innovation

• Innovation and Economic Growth
• Intellectual Property Rights and Innovation Incentives
• Open Innovation Models and Collaboration
• Technology Transfer and Knowledge Spillovers
• Start-up Ecosystems and Entrepreneurship
• Research and Development Investment Strategies
• Innovation Policy and Government Intervention
• Industry Clusters and Innovation Networks
• Creative Industries and Economic Development
• Innovation Metrics and Measurement

Economic History

• Economic Causes and Consequences of Historical Wars
• Industrial Revolution and Economic Transformations
• Historical Perspectives on Financial Crises
• The Great Depression: Lessons for Today
• Colonialism and its Economic Legacy
• Economic Impact of Technological Revolutions
• Economic Changes in Post-Socialist Transition
• Globalization and Historical Trade Patterns
• Economic History of Pandemics and Health Crises
• Evolution of Economic Thought over the Centuries

Health Care Financing

• Comparative Analysis of Health Care Systems
• Universal Health Coverage: Challenges and Solutions
• Public-Private Partnerships in Healthcare
• Health Insurance Models and Access to Care
• Cost-Effectiveness Analysis of Health Interventions
• Healthcare Innovation and Financial Viability
• Impact of Demographics on Health Care Costs
• The Role of Technology in Healthcare Financing
• Economic Evaluation of Health Care Reform

Energy Economics

• Energy Pricing and Market Dynamics
• Renewable Energy Adoption and Economic Impact
• Energy Security and Geopolitics
• Energy Efficiency and Economic Sustainability
• Oil Price Volatility and Economic Consequences
• Nuclear Energy : Costs and Benefits
• The Economics of Carbon Capture and Storage
• Transition to a Low-Carbon Economy: Challenges and Opportunities
• Energy Markets and Competition
• Economic Analysis of Energy Policies and Regulations

These project topics for economics undergraduate students with a diverse range of options for research and exploration.

Tips for Conducting Effective Project Topics for Economics Undergraduate Students

• Dive into extensive research to build a solid foundation for your project.
• Define clear and achievable objectives to guide your project effectively.
• Ensure data used is reliable and relevant for accurate analysis.
• Apply critical thinking to interpret findings and draw meaningful conclusions.
• Organize your project logically for a coherent and impactful presentation.
• Regularly seek feedback from peers or mentors to enhance project quality.
• Plan your time wisely to meet project deadlines without compromising quality.
• Keep abreast of current economic developments to enrich the context of your project.

In conclusion, undertaking project topics for economics undergraduate students a unique opportunity to blend theoretical knowledge with practical application. Through focused research and analysis, students can deepen their understanding of economic principles, enhance analytical skills, and contribute meaningfully to the academic discourse. The process not only prepares them for future challenges but also fosters a passion for continuous learning and exploration within the dynamic field of economics. 

As they present their findings, students not only fulfill academic requirements but also showcase their ability to critically engage with economic issues, making them well-equipped for the journey ahead in both academia and the professional realm.

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UNDERGRADUATE AND FINAL YEAR RESEARCH PROJECT TOPICS AND MATERIALS

Uncover your project supervisor’s expectations.

RESEARCH HYPOTHESIS Hypotheses are tentative statements about a phenomenon. They are more like assumptions to be tested and proved. Hypothesis formulated must be relevant to

HOW TO CHOOSE AN OUTSTANDING PROJECT TOPIC

The educational curriculum emphasizes that to obtain a degree upon graduation, one must undertake a research project topic in their chosen field of study. This

DEFENDING A PROJECT IN NIGERIAN UNIVERSITIES

Defending a project in Nigerian universities, much like in other institutions, involves presenting and justifying your research or project work before a panel of examiners

EFFECTIVE PRESENTATION DELIVERY: GUIDELINES FOR A SUCCESSFUL PROJECT DEFENSE

“In project defending, it is customary that students, following a period of study, engage in research, make discoveries, select a topic, and generate high-quality content

HOW TO WRITE A QUALITY AND COMPREHENSIVE RESEARCH METHODOLOGY

As students approach the conclusion of their academic journey within institutions, they encounter a mandatory task: selecting or being presented with a set of intriguing

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DELIVERING A GOOD PRESENTATION: TIPS FOR A GOOD PROJECT DEFENCE

Posted on 02-04-24

content), 0, 700 --> In the academic world, it is a routine convention that having studied for a period, students are required to do researches, make findings, choose a topic and develop good and quality content for such topic. In most cases, final year project topics are selected from a pool of available ones by students and approved by their tutors before they commence work on it. Eventually students are expected to make a presentation to a group of enlightened scholars in respect to their final year project and also try to relate it to the real world scenario that await them having acquired qualification in their field of study, an art generally known as final year project defence. Under l

HOW TO CHOOSE A GOOD PROJECT TOPIC

content), 0, 700 --> The educational curriculum states that in order to be awarded a degree after the graduating, there is need to carry out a research in a field of study. Consequently, this is done at the final year level in all university institutions. A lot of students have challenge when it comes to choosing a research topic. This is as a result of the fact that they lack knowledge on the basics of choosing a good research topic such that most students score poor grades at the end of it or even have to change topic midway through. This write up therefore is aimed at helping final year student know the essentials when it comes to choosing a research topic. STEPS IN CHOOSING A PROJECT TOPIC

HOW TO WRITE A GOOD PROJECT PROPOSAL

content), 0, 700 --> A project proposal is an outlined description of different activities geared towards solving a certain problem in a bit to gain success over the problem afterwards. Most undergraduate are expected to propose a final year project topic, which will help to stimulate further studies. Projects help to provide final year students and others logical presentation of gathered ideas, it  also shows the relationship of past action as well as articulate the activities for proposed project. A good project should consist of the Following factors 1. Project planning: plan ahead to get a good project topic, explore to be certain that the topic is viable and there will be sust

HOW TO DEVELOP UNIQUE RESEARCH TOPICS

WHAT YOU NEED TO KNOW ABOUT WRITING A GOOD RESEARCH

content), 0, 700 --> An abstract is a concise and accurate summary of a piece of writing. It gives an overview of an academic assignment, a report or research paper. In journals and other publications, it is placed at the beginning of the writing. Conversely, in academic assignments such as final year project topics, abstracts are found on a preliminary page of the project report. This part of an article or report is the first item a reader will read to have an idea of the content of the writing. Types of Abstracts Your discipline area determines the type of abstract you will write. However, abstracts are grouped into two: •        Descri

HOW TO WRITE A QUALITY AND COMPREHENSIVE RESEARCH METHODOLOGY

content), 0, 700 --> Towards the end of studying in institutions, it is mandatory for students to source for or be presented with a pool of topics of interest for their final year project. They then choose a suitable project topic and seek approval of their lecturer. Having gotten the approval, it then becomes necessary to do intensive research and fact finding over the chosen topic. Final year project topics are important as it leads the scholar into a dedicated, self motivated and unbiased quest for knowledge not only on the topic but on the application of the concepts involved in real world scenarios. However, final year project research methodology writing requi

TIPS ON HOW TO KNOW WHAT YOUR SUPERVISOR IS LOOKING OUT FOR IN YOUR PROJECT

content), 0, 700 --> Apparently all schools/colleges ask their undergraduates especially the final students to write their final year project before they are certified to be graduates. These projects are mostly discovery activities geared towards  problems solving or basically to make new discoveries  or better still have a better understanding  of  a problem with the aim of proffering better solutions. With this assigned task an undergraduate will need an advisor, a counselor or a supervisor to guide and direct this activity for a desired result and a successful  ending and of course, in return the supervisor have factors to look out for in a student proje

THE KEY FACTORS THAT DETERMINE THE GRADING AND SCORING OF YOUR PROJECT

content), 0, 700 --> The purpose of a research project will be defeated if at the end, you get a poor grade from our supervisor or external examiner. Many students lack the knowledge of the requirements needed to have a good grade, and so we will be examining the various areas your supervisor or external examiner uses to score you. The areas can be classified under five headings: •        What did you do? •        Why did you do it? •         How did you do it? •        What did you get? •  

THE ESSENCE OF RESEARCH AND HOW TO GENUINELY CONTRIBUTE TO THE FIELD OF ACADEMICS WITH YOUR PAPER

content), 0, 700 --> Before carrying out a research on any field of study, it is important to know the purpose of doing such if not there won’t be any justification for your research. So we shall be looking at the essence of research and how to carry out an academic research. ESSENCE OF RESEARCH •        To expand the horizon of knowledge by filling the gaps in knowledge through the discovery of new information. This promotes a deeper understanding of the phenomenon we are interested in. •        To discover and verify relationships among various aspects of nature or study •   &

HOW TO DEVELOP A TABLE OF CONTENT ON ANY RESEARCH WORK

content), 0, 700 --> A table of content in project writing basically is the mirror of the project. A table of content can be defined as the detailed overview of a project by which a writer outline the different headings, subheadings of discussion on a project work and where or pages each of this information can be gotten. So for easy navigation of pages on a project work, it is advisable for research writers to equip its readers with a table of content. A table of content is like a map for the readers and as such it should be useful, error free and straight to the points. If you just setting out as a novice in writing your final year project as an undergraduate and you are worrying about, how

SIX STEPS TO WRITING AN EXCELLENT FINAL YEAR PROJECT

content), 0, 700 --> There is always a sigh of relief when that second semester result is checked and one realizes, “My God, I’m now a final year student”. The feeling is exhilarating, especially when you don’t have any issues, common among being a carry-over course. Then the execution of the final year project looms like a dark cloud and you wished you were Thor’s relative and you could maybe borrow his lightening hammer for a moment. Unfortunately, reality isn’t that easy, the dark project cloud can’t just be smote by imaginary lightening, it has to be researched and written. If there are people who were as terrified of project writing as myself had been, then I sugg

TRENDING FINAL YEAR PROJECT TOPICS AT A GLANCE

content), 0, 700 --> Since iprojectmaster.com is always in the business of helping students, especially, final year students racking their brains for final year project topics that’ll be eligible to present to their project supervisors and ultimately to get them raving marks in their results; we have become concerned and wish to make an array of final year project topics that are catchy, relevant and has minimal cost of research. This article is not a final authority in the relevance of these proposed final year project topics but a quasi guide, that should give final year students an idea of what their final year project topic should be and how to go about constructing them.

UNEMPLOYMENT, POPULATION GROWTH AND FINAL YEAR STUDENTS

content), 0, 700 --> Unemployment and underemployment is seriously confronting the Nigerian youth in all ramifications. The increase in population of Nigerians is one of the challenges facing the labour market which the government on its part failed to provide full employment to its citizenry. Many Nigerians today are underemployed despite their intimidating credentials being possessed in high flying institutions in the world together with economic recession and inconsistent policies in the country. It is unfortunate that Nigeria has been unable to resolve the employment debacle that has been undermining the well-being of many Nigerians for a number of years now. More depressing, st

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A revolutionary, bold educational endeavor for Belize

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When 14-year-old Jahzhia Moralez played a vocabulary game that involved jumping onto her friend like a backpack, she knew Itz'at STEAM Academy wasn’t like other schools in Belize. Transferring from a school that assigned nearly four hours of homework every night, Moralez found it strange that her first week at Itz'at was focused on having fun. 

“I was very excited,” Moralez says. “I want to be an architect or a vet, and this school has the curriculum for that and other technology-based stuff.”

The name “Itz’at” translates to “wise one” in Maya, honoring the local culture that studied mathematics and astronomy for over a thousand years. Launched in September 2023, Itz’at STEAM Academy is a secondary school that prepares students between the ages of 13 and 16 to build sustainable futures for themselves and their communities, using science, technology, engineering, arts, and mathematics (STEAM). The school’s mission is to create a diverse and inclusive community for all, especially girls, students with special educational needs, and learners from marginalized social, economic, and cultural groups.

The school’s launch is the culmination of a three-year project between MIT and the Ministry of Education, Culture, Science, and Technology of Belize. “The Itz’at STEAM Academy represents a revolutionary and bold educational endeavor for us in Belize,” a ministry representative says. “Serving as an institution championing the pedagogy of STEAM through inventive and imaginative methodologies, its primary aim is to push the boundaries of educational norms within our nation.”

Itz’at is one of the first Belizean schools to use competency-based programs and individualized, authentic learning experiences. The Itz’at pedagogical framework was co-created by MIT pK-12 — part of MIT Open Learning — with members of the ministry and the school. The framework’s foundation has three core pillars: social-emotional and cultural learning, transdisciplinary academics, and community engagement.

“The school's core pillars inform the students' growth and development by fostering empathy, cultural awareness, strong interpersonal skills, holistic thinking, and a sense of responsibility and civic-mindedness,” says Vice Principal Christine Coc.

Building student confidence and connecting with community

The teaching and learning framework developed for Itz’at is rooted in proven learning science research. A student-centered, hands-on learning approach helps students develop critical thinking, creativity, and problem-solving skills. 

“The curriculum places emphasis on fostering student competence and cultivating a culture where it's acceptable not to have all the answers,” says teacher Lionel Palacio.

Instead of measuring students’ understanding through tests and quizzes, which focus on memorization of content, teachers assess each stage of students’ project-based work. Teachers are reporting increased student engagement and deeper understanding of concepts.

“It’s like night and day,” says Moralez’s father, Alejandro. “I enjoy seeing her happy while working on a project. She’s not too stressed.”

The transdisciplinary approach encourages students to think beyond the boundaries of traditional school subjects. This holistic educational experience reinforces students’ understanding. For example, Moralez first learned about conversions in her Quantitative Reasoning course, and later applied that knowledge to convert centimeters to kilometers for a Belizean Studies project.

Students are also encouraged to consider their roles in and outside of school through community engagement initiatives. Connections with outside organizations like the Belize Zoo and the Belize Institute of Archaeology open avenues for collaboration and mutual growth.

“We have seen a positive impact on students’ confidence and self-esteem as they take on challenges and see the real-world relevance of their learning,” says Coc. 

Assignments that engage in real-world problem-solving are practical, offering students insight into future careers. The school aims to create career pathways to strengthen Belize’s existing industries, such as agriculture and food systems, while also supporting the development of new ones, such as cybersecurity.

Students’ sense of belonging is readily apparent to teachers, which positively correlates with their learning. “There's a noticeable companionship among students, with a willingness to assist one another and an openness to the novel learning approach,” says Palacio.

Parents see the impact of the safe learning environment that Itz’at creates for their children. Izaya Lovell, for example, gets to embrace his whole self. “I get to speak my mother tongue, Kriol,” he says. “I can be like my dad — get dreads and grow out my hair. I can play sports and be physical.”

Izaya’s mother, Odessa Lovell, says her son was a completely different person after one month of studying at Itz’at. “He’s so independent, he’s saving money, and he’s doing things on his own,” she says.

A vision for Belize

The development of Itz’at emerged from a 2019 agreement between MIT's Abdul Latif Jameel World Education Lab (J-WEL) and the ministry for the implementation of a STEAM laboratory school in Belize, with funding from the Inter-American Development Bank. MIT had a proven track record of projects and partnerships that transformed education globally. For example, MIT collaborated with administrators in India, which trained 3,300 teachers to launch a large-scale education system focusing on hands-on learning and competencies in values, citizenship, and professional skills that would prepare Indian students for further academic studies or the workforce. The Belize program is the first time that groups across the Institute have come together to develop a school from the ground up, and MIT pK-12 led the charge.

“One of the key aspects of the project has been the approach to co-design and co-creation of the school,” says Claudia Urrea, principal investigator for the Itz’at project at MIT and senior associate director of MIT pK-12. “This approach has not only allowed us to create a relevant school for the country, but to build the local capacity for innovation to sustain beyond the time of the project.”

Working with an extended team at MIT and stakeholders from the ministry, the school, parents, the community, and businesses, Urrea oversaw the development of the school’s mission, vision, values, governance structure, and internship program. The MIT pK-12 team — Urrea; Emily Glass, senior learning innovation designer; and Joe Diaz, program coordinator — led a collaborative effort on the school’s pedagogical framework and curriculum. Other core MIT team members include Brandon Muramatsu, associate director of special projects at Open Learning, and Judy Perry, director of the MIT Scheller Teacher Education Program, who created operational guidance for finances, policies, and teacher professional development. By sharing insights with J-WEL, the MIT pK-12 team is fueling shared thinking and innovations that improve students’ learning and pathways from early to higher education to the workforce. 

Like the students, this is the Belizean teachers’ first experience with project-based learning. The MIT team shared the skills, mindsets, and practical training needed to achieve the school’s core values. The professional development training was designed to build their capacity, so they feel confident teaching this model to students and future educators. 

Itz’at currently has 64 students, with plans to reach full capacity of 300 students by 2026. The goal is to continue to build capacity toward STEAM education in the country, expand the possibilities available to students after graduation, and foster a robust school-to-career pipeline. 

“The opening of this school marks a pioneering milestone not just within Belize but also across the broader Central American and Caribbean regions,” a ministry spokesperson says. “We are excited about the future of Itz’at STEAM Academy and the success of its students.”

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• Itz’at STEAM Academy
• MIT Scheller Teacher Education Program
• Ministry of Education, Culture, Science, and Technology of Belize
• MIT Open Learning
• Abdul Latif Jameel World Education Lab (J-WEL)

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• Education, teaching, academics
• STEM education
• Collaboration
• K-12 education
• International initiatives
• Women in STEM
• Diversity and inclusion
• Technology and society
• Office of Open Learning

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Project Topics on Economics Education with Materials

This platform is designed for (2024) Undergraduate and Postgraduate Students in Nigeria and other Countries, who are searching for Project Topics on Economics Education with Materials in PDF or Microsoft Word (Docx) that will serve as a roadmap for completing their final year research aim in Economics Education.

• Choose your preferred project topics on Economics Education from Our library;
• Create a proposal for the Economics Education project topics selected;
• Submit the project proposal to your Supervisor for assessment; and
• Finally, inform Us with the phone number below after topic approval to get the complete research material (Chapter 1-5 and References).

See also – Subject Based Related Project Topics

The primary objective of this online resource is to provide students with a quick and simple way to locate pertinent proposal topics and materials related to Economics Education. The Microsoft Word (PDF) materials for Economics Education project topics that could possibly be selected for proposal write-up submission are listed below.

30+ List of Available Economics Education Project Topics

An Assessment of the Impact of Ride Hailing Services on Economic Development (A Case Study of Uber and Bolt)

Survival Strategies of Small Scale Enterprises in a Depressed Economy (A Case Study of LG Company, Ado Ekiti, Ekiti State)

Determinants of Investment in Nigeria (A Case Study of National economic empowerment and development strategy (NEEDS))

The Purpose of Continuous Assessment in Teaching and Learning of Biology

Effect of Socio-Economic Background on Academic Performance of Secondary School Biology Students

Effect of Socio-Economic Background of Adolescent Students on the Academic Achievement in Senior Secondary School (A Case Study of Udi Education Zone of Enugu State)

Economics Education Project Topics

The Impact of Inflation on Cost of Living in Nigeria

The Relevance of Studying Economics of Co-Operation as a Qualifying Subject for the Award of H.N.D in Business Studies

Socio-Economic Background Effect on Academic Performance of Secondary School Biology Students

A Study of Academic Misconduct and Failure among Secondary School Students (A Case Study of Nigeria)

Role of Continuous Assessment in Teaching and Learning of Economics (A Case Study of Enugu South L.G.A)

Student’s Attitude Towards the Study of Economics in Nigerian Secondary Schools

An Assessment of the Impact of Wealth Maximization Goal of Business on Corporate Social Responsibility (CSR) in Nigeria

Factors Affecting Teaching and Learning of Economics and Their Influence in Academic Performance in Senior Secondary School Students

An Examination of Economics Education Students Failure and Academic Indiscipline in Secondary School

Appraisal of the Techniques Used in Teaching of Economics in Secondary Schools

The Impact of Socio-Economic Background of Adolescent Students on the Academic Achievement in Junior Secondary School (A Case Study of Udi Education Zone of Enugu State)

An Assessment of the Techniques Used in Teaching of Economics in Secondary Schools (A Case Study of Enugu East LGA)

The Effect of Socio-Economic Background of Adolescent Students on the Academic Achievement in Senior Secondary School

A Study of the Factors Affecting Employees Personal Savings

The Influence of Inflation on Economic Development in Nigeria

The Effect of Instructional Materials on the Learning and Teaching of Economics in Senior Secondary Schools in Isolo LGA

Comparative Analysis of Education / Economics and Economics Students’ Pattern of Carryover in Courses Between 2007-2010 in University of Benin

Impact of Public Debt on Economic Growth in Nigeria

Effect of Fuel Price Hike on Household Prices in Nigeria

The Effect of Socio-Economic Background on Academic Performance of Secondary School Biology Students (A Case Study of Enugu North LGA)

Getting more topics...

Proposal Guideline for Economics Education Final Year Project Topics

Economics Education Project Topics for Final Year Students are geared towards identifying real-world issues and delivering solutions by giving the existing issues a topic that will eliminate or significantly reduce proposed research (system) inefficiencies. The main and optional Economics Education project proposal writing sections are outlined below:

Major Sections

Motivation for Embarking on the Project

Brief Background of Study

Statement of Problems

Aim of the Study

Specific Objectives of the Study

Significance of the Study (Who benefits from the project and how?)

Elective Sections

Relevant Research Questions

Relevant Research Hypotheses

Other Economics Education Based Related Topics

Economics Education Related Departmental Repository assistance in finding your preferred topic for proposal submission or presentation purpose. Below is the list of related repository under Economics Education department:

Agricultural Economics and Extension Topics

Cooperative Economics and Management (CEM) Topics

Economics Topics

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Office of the Vice President for Research

Ovpr announces recipients of 2024 discovery and innovation awards.

The Office of the Vice President for Research (OVPR) is honoring 11 faculty and staff for their exceptional contributions to research, scholarship, and creative activity as part of the 2024 Discovery and Innovation Awards .

“ The winners represent the best and the brightest of our University of Iowa faculty and staff, who are making an impact across a range of disciplines,”  said Marty Scholtz, vice president for research. “Their research and scholarship enhance undergraduate and graduate education on campus, and their efforts to expand the frontiers of discovery betters our community, state, and world.”

The OVPR solicited nominations from across campus for the awards, which include: Scholar of the Year, Early Career Scholar of the Year, Leadership in Research, and awards that recognize achievement in communicating scholarship with public audiences, community engagement, arts and humanities, mentorship, research administration and safety. A campuswide event on April 30 will celebrate the winners.

Faculty Awards

Jun Wang , James E. Ashton Professor and interim departmental executive officer in the College of Engineering’s

 Department of Chemical and Biochemical Engineering, is the 2024 Scholar of the Year . The award celebrates nationally recognized recent achievement in outstanding research, scholarship, and/or creative activities. 

Wang’s research centers on the development of novel remote sensing techniques to characterize aerosols and fires from space. He serves as the University of Iowa’s lead investigator on NASA’s TEMPO, Tropospheric Emissions: Monitoring Pollution, which Time magazine named one of its best inventions of 2023. 

“Professor Wang's scholarly endeavors over the past two years stand out as a paradigm of excellence, serving as an exemplary model for both emerging and seasoned faculty members to aspire toward,” said Karim Abdel-Malek, professor of biomedical engineering and director of the Iowa Technology Institute.

James Byrne , assistant professor of radiation oncology in the Carver College of Medicine ( CCOM ), is the 2024 Early Career Scholar of the Year . The award honors assistant professors who are currently involved in research, scholarship, and/or creative activity and show promise of making a significant contribution to their field. 

As a physician scientist, Byrne continues to care for patients while developing novel biomedical therapies for cancer, finding inspiration in everything from latte foam to tardigrades. In his first two years as faculty at the UI, he has earned more that $2.5M in external research funding, including a K08 award from the NIH.

“Dr. Byrne’s scientific creativity stems from both an active and curious mind as well as his ability to bridge diverse fields from engineering to biology to medicine,” said Michael Henry, professor and interim director of the Holden Comprehensive Cancer Center. “These interdisciplinary boundaries are where some of the most interesting and important work is happening today.”

Donna Santillan , research professor and director of the Division of Reproductive Science Research in the CCOM Department of Obstetrics and Gynecology, received the Leadership in Research Award , which recognizes research and scholarly accomplishments throughout a career. 

While Santillan’s research has spanned across the field of reproductive science, she has a particular interest in the deadly diseases of pregnancy, including preeclampsia and its intergenerational effects. She designed and directs the Women’s Health Tissue Repository. Santillan’s work has been cited more than 2,700 times, and she has mentored 114 early career scientists and students, a testament to her expansive impact.

“Dr. Santillan has consistently demonstrated an unwavering commitment to fostering the professional and personal development of trainees in research, including myself,” said Banu Gumusoglu, assistant professor of obstetrics and gynecology. “Her mentorship extends beyond the confines of traditional academic settings, touching the lives of many aspiring trainees from high school through residency, clinical fellowship, and faculty levels.”

Stephen Warren , professor of history and American studies in the College of Liberal Arts and Sciences (CLAS), received the Distinguished Achievement in Publicly Engaged Research Award . The award recognizes an individual faculty member who has put addressing public needs and direct engagement with the public, in the service of improving quality of life through research, at the forefront of his or her academic activities.

A prolific scholar of Native American culture, Warren’s research has centered on the Shawnee people of Oklahoma for the past two decades. He has published four books and co-authored the most recent one , Replanting Cultures: Community-Engaged Scholarship in Indian Country, with Chief Benjamin Barnes of the Shawnee Tribe. 

“Over the last two decades, Professor Warren has established himself as a leading community-engaged scholar, and his achievements in research and publishing demonstrate that community engagement and strong scholarship are not mutually exclusive,” said Nick Benson, director of the Office of Community Engagement. “Professor Warren’s work serves as an inspiration for researchers at Iowa and nationally who seek not only to make a difference in academia, but also in our communities.”

Kaveh Akbar , associate professor of English in CLAS, received the Distinguished Achievement in Arts and Humanities Research Award . This award honors distinguished achievement in humanities scholarship and work in the creative, visual and performing arts. 

Akbar joined Iowa in 2022 to serve as the director of the English and creative writing major. In January, his new novel, Martyr!, was published to critical acclaim. Akbar previously published two prize-winning poetry collections and has served as poetry editor for The Nation  since 2021. 

“Akbar’s leadership in the profession and on campus continues: his transformative work in our department not only enriches the academic experiences of 700+ English and creative writing majors, but also enhances the profile of UI as ‘The Writing University,’” said Blaine Greteman, professor and departmental executive officer of the Department of English.

Cara Hamann , associate professor of epidemiology, received the Faculty Communicating ideas Award . This award recognizes excellence in communication about research and scholarship in the sciences and humanities and the study of creative, visual, and performing arts to a general audience directly or via print and electronic media.

Hamann has frequently shared her work on transportation issues, including teen driving, bike and scooter safety, and pedestrian safety, through peer-reviewed journals and extensive media outreach. Her recent op-ed, “The most deadly traffic policy you’ve never heard of leaves you vulnerable, too,” drew widespread attention to a legal loophole in crosswalk laws and appeared in more than 50 news outlets nationwide, including USA Today .

“Dr. Hamann’s work is not only academically rigorous but also accessible and impactful to a

wide audience,” said Diane Rohlman, associate dean for research in the College of Public Health. “Her ability to communicate with clarity, creativity, and passion coupled with her extensive media outreach, exemplifies how she utilizes multiple approaches to address transportation challenges impacting society.”

Bob McMurray , F. Wendell Miller Professor in the Department of Psychological and Brain Sciences, and Caroline Clay , assistant professor of acting in the Department of Theatre Arts, were recipients of the Office of Undergraduate Research (OUR) Distinguished Mentor Awards . The awards honors mentors’ dedication to making their students research experiences successful.

“I can’t imagine my research journey without Bob’s welcoming kindness, thriving lab community, and confident mentorship, and I am so deeply grateful for his impact on me,” said Hannah Franke, a psychology and linguistics major mentored by McMurray.

“I know I am far from the only student whose life has been impacted by Caroline Clay,” said Isabella Hohenadel, a second-year theatre arts major. “She deserves to be recognized of all of the wonderful work she does and how much she cares about us as students. I cannot think of anyone more deserving of recognition than her.”

Staff Awards

Angie Robertson , department administrator for CCOM’s Department of Microbiology and Immunology, received the Distinguished Research Administrator Award . The award recognizes staff members who performed exceptional service in support of research at the UI by exploring funding opportunities, assisting in grant proposal preparation, submission, post-award administration, and operational support. 

In addition to overseeing every aspect of daily operations for the department, Robertson manages nearly 100 research grants for the department and three longstanding NIH T32 training grants. 

“Angie plays a leading role in our department office, inspiring us to achieve all aspects of our missions ,” said Li Wu, professor and department chair. “She is innovative, collaborative, accountable, and respectful  in her daily work. She exceeds any expectations and sets a great example for staff members in the department.”

Min Zhu , research specialist in the Iowa Institute for Oral Health Research (IIOHR) within the College of Dentistry, received the Distinguished Research Professional Award . The award recognizes staff members who performed exceptional service in support of research at the UI by conducting experiments, collecting, and analyzing results and performing operational duties associated with a laboratory or research program. 

Zhu has worked as a lab bench scientist in the College of Dentistry since 2006, executing experimental work for grants and other research, working closely with IIOHR faculty members, overseeing lab maintenance and environmental health and safety efforts. 

“Beyond her research skills, Dr. Zhu has been an exceptional mentor and educator for my students and other junior researchers,” said Liu Hong, professor of prosthodontics. “Her kindness and willingness to share her knowledge have made her a beloved figure among them.”

Curtis Iberg , manager of sterilization services in the College of Dentistry, received the Innovation in Safety Award, which celebrates exceptional and ground-breaking innovations that advance safety at the UI. Iberg led a major renovation of the College of Dentistry’s instrument processing and sterilization area, with the aim of encouraging better workflow and support for future growth. 

“His innovations in workspace are a valuable asset to the greater University and demonstrates that the most important people to be involved in a space renovation are those that use the area because they can see how the facility can better function and how it can be designed for future needs,” said Kecia Leary, associate dean of clinics.

Media Advisory: Virginia Tech students will deploy scientific weather balloons for NASA project during solar eclipse in Missouri

31 Mar 2024

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WHAT: A team of students from Virginia Tech will launch high altitude scientific weather balloons along the total solar eclipse path in Missouri as part of the National Eclipse Ballooning Project for NASA. The project, organized by NASA, will station 53 teams of students along the path of the eclipse, providing them with opportunities to capture data and conduct experiments.

BACKGROUND: Virginia Tech’s team of twenty, led by research associate Kevin Sterne, and Ph.D. candidate Ginny Smith, will be deploying high altitude scientific weather balloons to capture data and livestream video to NASA’s eclipse website. In addition to the payloads for the NASA project, the team will also be flying a second string of balloons with payloads carrying undergraduate student experiments. Read more about the National Eclipse Ballooning Project here .

WHEN: Media are invited to attend a public demonstration on Saturday, April 6, 2024, from 2-4 p.m.  CDT

WHERE:   Ray Clinton Park, 272 Park Ave., Poplar Bluff, MO 63901

• Kevin Sterne , research associate, Virginia Tech National Security Institute
• Ginny Smith, Ph.D. Candidate,  Kevin T. Crofton Department of Aerospace and Ocean Engineering  in the College of Engineering at Virginia Tech

In-person media interviews: Sterne, Smith and Virginia Tech students will be available during the April 6 demonstration.  

Media RSVP: Media should RSVP to Mike Allen at [email protected] by Thursday, April 4 at 5 p.m. EDT

FURTHER OPPORTUNITIES: The balloon launch will take place Monday, April 8, near Poplar Bluff at a location and time that will be determined after the public demonstration. Media interested in attending should contact Mike Allen at 540-400-1700 or [email protected] for further follow-up.

540-400-1700

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