Basketball Data Madness Challenge 2020
Update: April 10th, 2020
MIDAS is pleased to announce the winners of the Basketball Data Madness Challenge 2020. The top two submissions for each challenge prompt were selected to represent the winning Final Four.
Challenge Prompt 1 winners:
- Team 17: Ben Brennan, Lam Tran, and Tahmeed Tureen
- Team 11: Shengyu Feng, Aylin Gunal, Ying Cao, and Danielle Park
Challenge Prompt 2 winners:
- Team 16: Gillen Brown, Tyler Gardner, Cameron Pratt, and Juan Remolina Gonzalez
- Team 12: Jen Sheng Wong, Jin Fu Ooi, Kai Xuan Shau, and Wen Hoong Ling
Further information on the winning teams and their submissions: MIDAS Basketball Data Madness Challenge
The Michigan Institute for Data Science (MIDAS) and the Exercise & Sport Science Initiative (ESSI) are excited to announce the 2020 Basketball Data Madness Challenge for students with an interest in data science. Student teams of up to 4 members will be given access to two datasets on Michigan Basketball player performance loads and overall game statistics. Teams will have one week to analyze the datasets (on your personal computers) and answer predefined questions from the challenge organizers. Final questions will be similar to the following examples:
1) How do performance loads relate to game outcomes (e.g., win/loss)?
2) How do player performance loads relate to game dynamics (e.g., turnover)?
In the spirit of March Madness, 4 winning teams will be selected by a panel of U-M data scientists and will each receive a $400 “Final Four” prize. The judging will be based on both the scientific content and the communication of results. We look for well-designed and well-communicated projects at any level of expertise.
Both graduate and undergraduate students, at all levels of data science expertise, are welcome to participate. One team member should register the entire team by Friday, March 13. You may also register as an individual and MIDAS will help you form teams. Only 16 teams will be accepted to compete.
March 13 – Team Registration Closes
March 16 – Data Challenge Kickoff Event – Learn about the challenge datasets.
March 30 – Submissions due electronically via Box. Any copies of the data must be deleted after the 30th.
April 10 – Final Four winners will be announced. Cash prizes will be awarded.
||Associate Athletic Trainer
||Stephen J. Galetti Collegiate Professor of Sport Management
||Dean and Professor of Information
||School of Information
Questions about the data challenge? E-mail MIDAS Education Program Manager, Trisha Fountain (email@example.com).