2025 AI in Social Science Conference
This event is at capacity. If you have any questions, please email bfi-events@uchicago.edu.
The 2025 AI in Social Science Conference was hosted on September 25-26, 2025.
How is artificial intelligence (AI) going to change social science and how is social science going to change how AI is used? This cross-disciplinary conference facilitated dialogue and generated insights into innovative methodologies, novel datasets, and emerging technologies that can reshape our understanding of the world and push the boundaries of knowledge across disciplines and fields. Attendees included experts from economics, sociology, law, behavioral sciences, artificial intelligence, and more.
View the 2024 conference here.
PHOTOS
Agenda
Registration and Breakfast
6th Floor Lounge
Opening Remarks
Anjali Adukia, University of Chicago
Jens Ludwig, University of Chicago
The Political Impact of Ideas: Evidence from 17th Century England
Leander Heldring, Northwestern University (Presenter)
Daron Acemoglu, Massachusetts Institute of Technology
Steven Pincus, University of Chicago
James Robinson, University of Chicago
Santiago Torres, University of Chicago
Designing Human-AI Collaboration: A Sufficient-Statistic Approach
Alex Moehring, Purdue University (Presenter)
Nikhil Agarwal, Massachusetts Institute of Technology
Alexander Wolitzky, Massachusetts Institute of Technology
Break
Calibrated Coarsening in Human-AI Interaction, Theory and Experiments
Ruru Hoong, Harvard University (Presenter)
Bnaya Dreyfuss, Harvard University
Sparse Autoencoders for Hypothesis Generation
Kenny Peng, Cornell University (Presenter)
Nikhil Garg, Cornell University
Jon Kleinberg, Cornell University
Rajiv Movva, University of California, Berkeley
Emma Pierson, University of California, Berkeley
Lunch
1st Floor Dining Room
The Cost of Ending Extreme Poverty
Roshni Sahoo, Stanford University (Presenter)
Joshua Blumenstock, University of California, Berkeley
Paul Niehaus, University of California, San Diego
Leo Selker, University of California, Berkeley
Stefan Wager, Stanford University
Causal Inference on Outcomes Learned from Text
Jann Spiess, Stanford University (Presenter)
Iman Modarressi, Stanford University
Amar Venugopal, Stanford University
Break
Interviews
Jason Sockin, Cornell University (Presenter)
Elliott Ash, ETH Zurich
Soumitra Shukla, Harvard Business School
Poverty Targeting at Scale: Algorithmic vs. Traditional Approaches
Raymond Guiteras, North Carolina State University (Presenter)
Emily Aiken, Carnegie Mellon University, Africa
Anik Ashraf, Ludwig Maximilian University of Munich
Joshua Blumenstock, University of California, Berkeley
Ahmed Mushfiq Mobarak, Yale University
Policymaking in the American States, 1787-2020
Nicolas Longuet-Marx, Stanford University (Presenter)
Charles Angelucci, Massachusetts Institute of Technology
Elliott Ash, Swiss Federal Institute of Technology in Zurich
Shuttle departs from David Rubenstein Forum to Conference Dinner
Conference Dinner and Keynote
By Invitation Only
7:00 p.m. | Jon Kleinberg, Cornell University (Keynote Speaker)
Breakfast
6th Floor Lounge
Program Evaluation with Remotely Sensed Outcomes
Ashesh Rambachan, Massachusetts Institute of Technology (Presenter)
Rahul Singh, Harvard University,
Davide Viviano, Harvard University
AI-Generated Content Meets AI Moderation: Toward Trustworthy Governance of Online Speech
Anna Lorimer, University of Chicago (Presenter)
Nick Feamster,University of Chicago
Molly Offer-Westort, University of Chicago
Break
Legacy on Deck: Skill Transmission and Occupational Dynasties in the Royal Navy
Guo Xu, University of California, Berkeley (Presenter)
Joachim Voth, University of Zurich
Personalized Recommendations in EdTech: Evidence from a Randomized Controlled Trial
Emil Palikot, Stanford University (Presenter)
Keshav Agrawal, Stanford University
Susan Athey, Stanford University
Ayush Kanodia, Stanford University
Lunch
1st Floor Dining Room
1:00 p.m. | Group photo before heading back upstairs
Judge AI: Assessing Large Language Models in Judicial Decision-Making
Shivam Saran, University of Chicago (Presenter)
Eric Posner, University of Chicago
Revealing Deep Human Preferences Through LLMs
Erzo Luttmer, Dartmouth College (Presenter)
Omar Abdel Haq, Harvard University
Amitabh Chandra, Harvard University
Tomáš Jagelka, University of Bonn
Joshua Schwartzstein, Harvard University
Closing Remarks
Anjali Adukia, University of Chicago
Jens Ludwig, University of Chicago