Artificial intelligence, machine learning, and new data systems are continuing to revolutionize nearly every sector of the economy. The use of new algorithms and access to large granular datasets have led to new exciting research across different economic applications.
With generous support from Schmidt Futures, the Opportunity Lab’s Labor Science Initiative is coordinating a new community of scholars utilizing these tools to pose new questions about labor markets and the public sector. On October 9th, O-Lab will assemble leading researchers in healthcare and education policy to present work that exemplifies the best of this initiative. The workshop will offer a chance for faculty, students, and other colleagues to share insights on their research and to find commonalities in the work done across these two applications.
Claudia Allende (University of Chicago)
Ben Handel (UC Berkeley)
Ziad Obermeyer (UC Berkeley)
Petra Persson (Stanford)
Chris Walters (UC Berkeley)
Seth Zimmerman (Yale)
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