Overview

Overview

Save the Date! Love Data Week officially starts on February 10, 2025

Member institutions of the Big Ten Academic Alliance will host events from February 10 to 14, 2025, that bring together participants from across our institutions to discuss data-related themes. Specific details will be released in the future.  

Data Viz Championship
This is an opportunity for students, faculty, and staff at Big Ten Academic Alliance institutions to showcase their data visualization skills and compete for the Big Ten Academic Alliance Data Viz Champion title.  Students will be given a data set and asked to produce a data viz for submission, while faculty/staff may submit an existing viz that highlights their institution or one of its projects. 

Details regarding the 2025 Data Viz Championship can be found here

About International Love Data Week
Originally coordinated by Heather Coates, International Love Data Week is a celebration of all things data that seeks to bring people together to share their experiences, learn best practices, and have some fun. The international effort is now hosted at the University of Michigan’s ICPSR, and many Big Ten institutions coordinate their own institutional celebrations.

About the Big Ten Academic Alliance
The Big Ten Academic Alliance is a strategic partnership dedicated to advancing the academic excellence of member institutions through national leadership, collaboration, and co-investments.

Founded in 1958 by university presidents as the academic counterpart to the Big Ten athletic conference, our world-class research institutions have built upon decades of trust — and a history of collaboration — to create a powerful framework integral to each member university. Big Ten Academic Alliance programs and initiatives create strategic and demonstrable value for member institutions. Supported programs have a clear and common distinction, such as strong member affiliation or a collection of unique resources. Collaborative efforts value and advance diversity, equity, and inclusiveness across our member institutions, with data playing a central role in both informing and evaluating our programs and initiatives.