The Big Ten Academic Alliance (BTAA) is hosting a Data Viz Championship to celebrate International Love Data Week and showcase data visualization talents of students, faculty, and staff. The University of Minnesota is participating in the BTAA’s Data Viz Championship by hosting an internal competition that is open to all undergraduate and graduate/professional students, faculty, and staff from all campuses.
All entries will be judged and the top visualizations will be featured during Love Data Week. In addition, the highest placing Twin Cities student and faculty/staff visualizations will move on to the BTAA Data Viz Championship (only the Twin Cities campus is a BTAA member).
Information on how to submit entries for the data viz championship will be available in November.
Hackathon
The Data and Donuts Hackathon will return in 2026 to help students prepare for Love Data Week 2027’s Data Viz Championship. More details will be available soon!
Requirements For Students:
The challenge is to use the NCAA Women's Basketball data set to devise a data visualization to address the question(s) of your choice.
- The NCAA Women's Basketball data set must be used, but additional data can also be used to supplement should students opt to do so
- Visualizations must be accessible via a link that requires no login at the time of the Challenge voting and judging
- Students can collaborate together and all contributors must be credited; one person should be identified as the primary presenter
- Have fun and be creative!
Requirements For Faculty and Staff:
Submit a data visualization based on public research that you have been or are involved in at your home university, or use the Big Ten theme. (i.e., athletics, enrollment data, etc.). You can also submit an existing visualization used at your institution. Visualizations can pertain to the institution as a whole or to a specific initiative or population. Submissions should follow institutional data policies. Example data sets are available if needed, along with visualization prompts (.doc download).
- All submissions must follow institutional data policies and guidelines
- Visualizations must be accessible via a link that requires no login at the time of the Challenge voting
- Faculty and staff can collaborate together and all contributors must be credited; one person should be identified as the primary presenter