How can data collaboration and AI improve impact in the social sector? And how can these tools be used responsibly while minimizing harm?
Join us and hear Dr. Yaw Adu-Gyamfi (University of Missouri) discuss the role of data sharing and AI in supporting intelligent transportation systems in the St. Louis region and beyond. Applications range from addressing inequities in road maintenance to identifying disparate impacts of weather events to predicting traffic accidents. Adu-Gyamfi will address some of the challenges as well as benefits of data sharing in this context, potential privacy concerns with transportation-related data, and the importance of approaching data integration and AI responsibly.
This is the first event in a new series, called “Data Deep Dives,” co-sponsored by the Data for Social Impact initiative and the St. Louis Regional Data Alliance. This series highlights innovative examples of data collaboration in the St. Louis region designed to address social sector challenges. Let us know your thoughts about the event!
The Data for Social Impact initiative is a collaboration between the Social Policy Institute at Washington University in St. Louis, Mastercard Center for Inclusive Growth, the St. Louis Regional Data Alliance, and data.org