BASKETBALL DATA MADNESS CHALLENGE 2020
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 performance loads relate to game dynamics (e.g., tempo)?
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. They will also get to present their results at the Sports Analytics Conference, hosted by the Ross School of Business on April 15, to leaders in sports analytics from the NBA and Michigan Basketball. 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.
Kickoff Event will be held in Ross #420
BlueJeans:To join the meeting on a computer or mobile phone: https://bluejeans.com/604498818
One Touch Dial-in:
Connecting directly from a room system?
– 3-1841 (Registered with U-M Video Cluster)
– 188.8.131.52 or bjn.vc
2.) Enter the Meeting ID: 604498818 or use the pairing code
Just want to dial in?
+1 734 763 1841 (Last 5 digits from campus)
1.408.614.7898 (US or Canada only)
International Callers (http://bluejeans.com/numbers)
2.) Enter the Meeting ID: 604498818
Want to test your video connection?
March 13 – Team Registration Closes
March 16 – Data Challenge Kickoff Event – Learn about the challenge datasets.
March 23 – Results submissions due via PDF or slides and a Jupyter Notebook
March 25 – Announcement of Final Four teams
April 8 – Final Four project summaries due
April 15 – Sports Analytics Conference
8:00-8:30am: Final Four team meetings with industry representatives
12:40-1:00pm: Final Four presentation for conference attendees
Questions about the data challenge? E-mail MIDAS Education Program Manager, Trisha Fountain (email@example.com).