2,893 Inspirational Research 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.

The Role of the Achilles Tendon in Basketball Players

A project like this one can take numerous forms: from analyzing data of Achilles tendon ruptures and how athletes recover after treatment, to trying to assess the relationship between Achilles length and basketball statistics like stride length, one-leg and two-leg vertical, etc. In the latter, we can study the anatomy of the Achilles tendon, the muscles that form it, and its role/function in various movements of the foot and as a supportive structure to other joints in the leg. A student and I can then explore the nature of Achilles tendinopathy (or injury to the Achilles tendon), Achilles tears, what Achilles surgery consists of and what the goals are (focusing on the integrity of the tendon and biomechanics of the repair), and then investigate how athletes perform (those who have injured/torn their Achilles tendons versus those that have not) and develop a very basic recommendation for how to, initially, prevent Achilles injuries and then, if the injury occurs, prognoses following an injury/treatment.

Surgery, Sports Analytics

Alan
Alan

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..

Business, Sports Analytics, Organizational Leadership

Coty
Coty

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.

Statistics, Sports Analytics

Taylor
Taylor

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.

Statistics, Math, Sports Analytics, AI/ML

Jeff
Jeff

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

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.

Comp Sci, Sports Analytics, AI/ML

Sejal
Sejal

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, Comp Sci, Sports Analytics, AI/ML

Derek
Derek

Brain-Computer Interfaces: Where are they now, where could they go?

Brain-Computer Interfaces are a hot-button topic within the Biomedical Engineering community right now. Scientists have been using them in a variety of applications stemming from prosthetics to data collection to use for machine learning. In this project, we dive deep into the use of brain-computer interfaces for disease detection and diagnosis to uncover the current progress being made in this field and its current trajectory.

Engineering, Sports Analytics, Organizational Leadership, Biotech, Neuroscience

Anish
Anish

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

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

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.

Statistics, Sports Analytics

Taylor
Taylor

Creating a Shiny app for sport data

This is applicable to a wide variety of topics, but can involve web-scraping and data visualization techniques to display data in a dashboard.

Sports Analytics

Samual
Samual

Sentiment analysis of COVID-19 vaccine tweets

Apply data mining to query and synthesize hundreds of thousands of tweets and perform sentiment analysis to compare which COVID-19 vaccine is most promising in different geographic regions. Compare which side effects are most predominant among Pfizer vaccine recipients versus Moderna vaccine recipients. This project would likely culminate in a Medium article which takes the reader through the project from exploratory data analysis to code implementation, and finally a well-articulated discussion of research findings and limitations.

Comp Sci, Sports Analytics, AI/ML

Sejal
Sejal

NBA shot selection analysis using SportVU tracking data

The NBA releases an abundance of coordinate-based tracking data for each game. This project will make use of the 25 frames of data per second to not only identify when shots have been taken but also retrieve key information about the selection of shots by each team and player. The student will build an app to display shot charts and also potentially classify how smart a shot is based on metrics like score differential, shot distance, defender distance, shot clock usage, etc. This will help build a compelling analysis of what differentiates good shooters from smart shooters!

Comp Sci, Sports Analytics, AI/ML

Sejal
Sejal

NBA Combine Data on Player performance

Are metrics measured at the NBA combine indicative of player performance at the NBA level, such as does an NBA player's measured hand size effect their 3 point shooting percentage or wingspan enhance their ability to create turnovers.

Sports Analytics

CB
CB

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.

Statistics, Sports Analytics

Taylor
Taylor

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

Projecting Free Agent Contracts

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

Sports Analytics

Samual
Samual

Fan Cost Index & Attendance

As COVID comes to an end, a major concern of all major professional sports league (NBA, MLB, NFL & NHL) is the return of max attendance throughout their stadiums and venues. Yet this recovery has not come as quickly as some may have hoped and that can be due to a multitude of reasons. One major variable that would be interesting to look into is the cost of attending these events as it seems these events never go down in price. Cost of attendance could be a major deterrent for fans as they need to decide where discretionary money is spent. Analyzing the cost of attending sporting events by league, team, and region could be a major insight into why attendance may be stagnant.

Finance, Business, History, Sports Analytics

Gregory
Gregory

Draft Model

One of the most important parts of every NBA team's offseason is the NBA draft. During the draft process NBA front offices take in a wide array of evaluation metrics to make the correct decision. Analytics can play a huge part by predicting a college player's NBA potential by their college stats. This project will include data gathering and cleaning, predictive modeling with the potential to create an app based visualization to show results.

Statistics, Sports Analytics

Taylor
Taylor