2,893 Inspirational Passion Project Ideas

Turn inspirations into your passion project.

This collection of project ideas, shared by Polygence mentors, is meant to help inspire student thinking about their own project. Students are in the driver seat of their research and are free to use any or none of the ideas shared by their mentors.

People working on laptops
Sports Analytics

Determining most impressive World Records between Track and Field Disciplines

Multiple world records exist in the sport of Track and Field as there exists disciplines such as javelin, shotput, high jump, 100 meter sprints, and 5000 meter races, among others. As the disciplines do not share commonalities, it is hard to determine if the current 400 meter record is more impressive than the shotput record, for example. An additional complication is that only the best few thousand results exist per discipline, so traditional statistical measures around averages and distributions cannot be run. The goal of this project is to determine a good method of approach to comparing statistical records.

Sports Analytics, Math, AI/ML, Statistics

Jeff
Jeff

Do companies see good stock price returns after Super Bowl ads?

Everyone knows to expect ads from companies like Coke, Doritos (owned by Pepsi), beer companies, insurance companies, and more, but when these companies put out "good ads" do they see more of a change in stock price than those that put out "bad ads"?

Sports Analytics

Joseph
Joseph

Stadium and Attendance Project

I have data on stadium capacities and season attendance numbers from all of the Big 4 leagues (MLB, NFL, NBA, NHL) going back 20+ years (up to 2021). Maybe some interesting insights can be found from that? It would be up to the students to come up with where to go on this project!

Sports Analytics

Joseph
Joseph

Player Projection Model

538's RAPTOR and basketball index's PIPM are just two examples of predictive models that take in a players past and current performance to predict out how they will be in the coming years. Similar to the draft model, understanding which player's are on the verge of improving and which have the potential to decline is important for NBA front offices. This project will include data gathering and cleaning, predictive modeling with the potential to create an app based visualization to show results.

Sports Analytics, Statistics

Taylor
Taylor

Projecting Free Agent Contracts

Evaluating the market for a free agent based upon similar players contracts.

Sports Analytics

Samual
Samual

Neuroimaging Classification: a machine learning approach for glioma detection

Given brain MRI scans, the student will apply image processing techniques to get usable black-and-white image image objects and feed them into a classifier to automatically extract tumor information from the scans, thus reducing the burden on imaging specialists by augmenting the task of medical diagnosis with AI and technology.

Computer Science, Sports Analytics, Quantitative, AI/ML

Sejal
Sejal

Basketball Statistics Reporting Website.

Not interested in predictive modeling? cleaningtheglass.com is a great example of the the usefulness of a clean and important reporting tool. This project will be more heavily focused on the data engineering and gathering and front end visualization.

Sports Analytics, Statistics

Taylor
Taylor

Do the NFL combine drills predict a college athlete's future success in the NFL?

There's a lot of open-access data on NFL (and more) athletes' prior performance in college and their NFL combine drill performance. We could gather this data on players and see whether and to what extent NFL combine drill performance or past college performance (i.e. yards received, etc) predict the NFL performance (or Fantasy points) of a player in their first year in the NFL.

Social, Sports Analytics

Drew
Drew

Does time of day affect our sense of humor?

Assign friends/volunteers to rate the funniness of memes and comedy videos in the morning vs the evening, and gauge whether jokes are funnier to people in the evening (when people are statistically less inhibited, and more cognitively flexible) vs the morning (when people are more focused, and show greater inhibition). Note: my research has already tackled this question, but we can come up with another very doable idea like this one!

Social, Sports Analytics

Drew
Drew

Analyzing Pace-of-Play in Soccer using Spatio-Temporal Event Data

In this project, you will create and explore pace-of-play metrics in soccer and determine their effectiveness in predicting the outcome of a match. Through this process, you will learn to manipulate complex datasets, conduct spatio-temporal analysis and implement two different machine learning models. This project will culminate in a research paper or another method that displays the research results (i.e. Bookdown).

Sports Analytics, Statistics

Ethan
Ethan

NBA Analysis Using Tableau/PowerBI

Loading and cleaning data in either platform and working through the different steps to visualize the data such as who leads the leagues in assist, points, top scorers of each position etc..

Sports Analytics, Business, Organizational Leadership

Coty
Coty

Perfect Waves: How Surf Quality Impacts Residential Property Values

While surfing is possible wherever there are waves, the quality of surf spots is highly variable, with factors like bathymetry and exposure to swell and wind playing major roles. In this paper, we examine the impact of desirable waves on the real estate markets in their neighboring communities. To do this, we analyze residential real estate transactions in select coastal communities and perform regression analysis to discern the impact of wave quality on price.

History, Languages, Sports Analytics, Economics, Business

Joseph
Joseph

Basketball Statistics Reporting Website.

Not interested in predictive modeling? cleaningtheglass.com is a great example of the the usefulness of a clean and important reporting tool. This project will be more heavily focused on the data engineering and gathering and front end visualization.

Sports Analytics, Statistics

Taylor
Taylor

Why ___ will be the next successful sports city.

*Note this is a very complex project* After the run of dominance of Boston in the first 20 years of the 2000's winning 12 combined championships among the four teams, which city is next primed to be a powerhouse for the next 20 years? Things to take a look at might include young talent on teams, new hires in front offices, economic development in cities, or maybe something else.

Sports Analytics

Joseph
Joseph

Player Projection Model

538's RAPTOR and basketball index's PIPM are just two examples of predictive models that take in a players past and current performance to predict out how they will be in the coming years. Similar to the draft model, understanding which player's are on the verge of improving and which have the potential to decline is important for NBA front offices. This project will include data gathering and cleaning, predictive modeling with the potential to create an app based visualization to show results.

Sports Analytics, Statistics

Taylor
Taylor

Evolving Landscape of Sports Audience and Viewership

Technology has brought on a swift change in the way fans consume sports. This project will uncover how many people consume sports (by sport) and how that has changed in recent years due to technology (and COVID). What are the business outcomes of such changes and where are the possible growth opportunities for firms / brands to invest.

Sports Analytics

cameron
cameron

How Does the Absence of Fans Effect Performance?

The COVID-19 pandemic has caused sporting events to continue with little to no spectators in the crowd. I would like to investigate whether this impacts teams and players positively or negatively. This project would involve comparing team and player performance before and during the pandemic.

Sports Analytics

Nick
Nick

Player Projection Model

538's RAPTOR and basketball index's PIPM are just two examples of predictive models that take in a players past and current performance to predict out how they will be in the coming years. Similar to the draft model, understanding which player's are on the verge of improving and which have the potential to decline is important for NBA front offices. This project will include data gathering and cleaning, predictive modeling with the potential to create an app based visualization to show results.

Sports Analytics, Statistics

Taylor
Taylor

Examining the New Manager Bounce in Professional Soccer

How much does a sports team's manager impact the team's performance? When things aren't going well for a professional sports team, the owner often takes the drastic action of firing and replacing the manager, even during the middle of a season. In this paper, we examine why owners take this action and analyze data from the English Premier League to understand its impact. We also explore the relative impact of other potential actions underperforming teams can take and make general recommendations.

History, Languages, Sports Analytics, Economics, Business

Joseph
Joseph

Machine Learning in Sports

First gain an understanding of how machine learning is used in sports and sport science today before attempting to implement new architectures and methods on available youtube data. Baseball has a fantastic array of data that can easily be used for projects and can teach web scraping skills as well as machine learning techniques.

Engineering, Computer Science, Sports Analytics, AI/ML

Derek
Derek