I had a long day shuttling around the kids to various activities, and in between I was able to listen to talks for my #AcademicRunPlaylist!

First was an engaging discussion on competition law and AI in the UK at the Digital Markets Research Hub with Jenine Hulsmann, Emily Chissell, and Anush Ganesh https://www.youtube.com/watch?v=L1jut5M30uY

Next was a slate of talks at the Simons Institute for the Theory of Computing:

Shion Guha - what risk models actually learn - highly recommend https://www.youtube.com/watch?v=AKZQmaNdGUU

Aaron Roth - modeling human decision making when using AI https://www.youtube.com/watch?v=gLoJ4RI1DX4

Stefan Wager - non-parametric causal inference in dynamic thresholding designs https://www.youtube.com/watch?v=YBxiFtZBO3o

Hamsa Bastani - developing effective tutoring systems - highly recommend https://www.youtube.com/watch?v=MGzdwm_Sa-E

Next was an excellent talk by Katherine Coffman on choosing and using information in evaluation decisions at the Women and Public Policy Program at the Harvard Kennedy School https://www.youtube.com/watch?v=UUBrRnxvsEY

Next was a great panel on the latest US labor developments at Power At Work with Seth Harris, Hamilton Nolan, Dr. Patricia Campos-Medina, and Mark Gevaart https://www.youtube.com/watch?v=B60Pjslvf4M

Last was a mind-blowing talk by Hamsa Bastani on the winner's curse in data-driven decision making at the MIT Institute for Data, Systems, and Society (IDSS). Bastani methodically demonstrates why the vast majority of policy evaluation literature is deeply flawed, showing the importance of randomization in determining true efficacy. Beyond that, she lays out an extremely important framework that helps researchers and practitioners shoot for studies that deliver actual insight. This is possibly the most insightful talk I've listened to in the last year. Highly recommend https://www.youtube.com/watch?v=L_aMJj9p06Q

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