Monday, 28 February 2022 (All times in EST)

11:00 am - 11:10 am	Opening Remarks
11:05 am - 12:00 pm	Keynote Talk: Susan Murphy We used Reinforcement Learning, but did it work?
12:00 pm - 01:00 pm	Contributed Talks Poruz Khambatta, Tailoring Algorithmic Recommendations to Ideal (vs. Actual) Preferences Shuze Liu, Optimal Pricing of Information Nathanael Jo, Learning Optimal Prescriptive Trees from Observational Data
01:00 pm - 02:00 pm	Lunch Rooms on Virtual Chair sponsored by the Susilo Center for Ethics in the Global Economy Poster session sponsored by the Center for Applied AI at Chicago Booth on Virtual Chair
02:00pm - 02:45pm	Invited Talk: Rayid Ghani ML and Behavior Change for Fair and Equitable Outcomes
02:45pm - 03:45pm	Keynote Talk: Colin Camerer Predicting context-sensitivity of behavior in field data using machine learning
03:45pm - 04:30pm	Invited Talk: Jenna Wiens Augmenting Clinical Decision Making with Artificial Intelligence
04:30pm - 04:45pm	Break
04:45pm - 05:30pm	Moderated Panel by Lyle Ungar with Dean Knox, Jenn Logg, and Phebe Vayanos
05:30pm - 06:15pm	Invited Talk: Jens Ludwig Human Connections and Algorithmic Biases
06:15pm - 06:30pm	Awards Ceremony Center for Applied AI at Chicago Booth Award for the Best Poster Closing Remarks
06:30 pm - 07:00 pm	Post-workshop hangout on gather