2024 AI in Social Science Conference
How is artificial intelligence (AI) going to change social science and how is social science going to change how AI is used? This conference will bring together researchers using AI to address issues in social science, including, but not limited to using AI to enable the use of new types of data in social science applications (e.g., text or images), using algorithms to solve problems or enhance decision-making in different economically relevant applications (e.g., hiring, lending, medicine, education, criminal justice), understanding how to help humans use algorithmic decision-aids as effectively as possible, or different approaches to designing and deploying these tools fairly and ethically. This cross-disciplinary conference aims to facilitate dialogue and generate 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, including experts from economics, sociology, law, behavioral sciences, artificial intelligence, and more.
The dinner keynote on Thursday evening will be given by Susan Athey, while the closing keynote will be given by Sendhil Mullainathan.
This conference is invite-only. If you would like to attend or have any questions, please contact bfi-events@uchicago.edu.
HOTEL INFORMATION
The Becker Friedman Institute will book and cover hotel accommodations for event speakers at The Sophy Hotel. Conference participants may consider staying at University of Chicago’s Preferred Hotels on or near campus. If you have any questions regarding travel, please email bfi-events@uchicago.edu.
Agenda
Registration and Breakfast
Opening Remarks
The Market Effects of Algorithms
Lindsey Raymond, Microsoft Research
Multidimensional Stereotypes Emerge Spontaneously when Exploration is Costly
Xuechunzi Bai, University of Chicago (Presenter)
Tom Griffiths, Princeton University
Susan Fiske, Princeton University
Break
British Industrialization and Cultural Change: Evidence from the Use of Proverbs
Elliot Ash, ETH Zurich (Presenter)
Melanie Xue, London School of Economics and Political Science
American Life Histories
David Lagakos, Boston University
Stelios Michalopoulos, Brown University
Hans-Joachim Voth, University of Zurich (Presenter)
Lunch
1st Floor Dining Room
Learning about AI
Kobbina Awuah, University of Zurich
Ursa Krenk, University of Zurich
David Yanagizawa-Drott, University of Zurich (Presenter)
Journalist Ideology and the Production of News: Evidence from Movers
Levi Boxell, Stanford University
Jacob Conway, University of Chicago (Presenter)
Break
Do You Hear What AI Hears? Leveraging AI and Field Experiments to Lessen Childhood Disparities
Majid Ahmadi, University of Chicago
Imrul Huda, University of Chicago
John A. List, University of Chicago
Arnoldo Müller-Molina, University of Chicago
Julie Pernaudet, University of Chicago (Presenter)
Dana L. Suskind, University of Chicago
Smiles in Profiles: Improving Fairness and Efficiency Using Estimates of User Preferences in Online Marketplaces
Susan Athey, Stanford University
Dean Karlan, Northwestern University
Emil Palikot, Stanford University (Presenter)
Yuan Yuan, Boston College
Automated Social Science: Language Models as Scientist and Subjects
John J. Horton, Massachusetts Institute of Technology
Benjamin Manning, Massachusetts Institute of Technology (Presenter)
Kehang Zhu, Harvard University
Shuttle departs from David Rubenstein Forum to Conference Dinner
Conference Dinner and Program
By Invitation Only.
Susan Athey, Stanford University
Breakfast
Machine Learning Who to Nudge: Causal vs. Predictive Targeting in a Field Experiment on Student Financial Aid Renewal
Susan Athey, Stanford University
Niall Keleher, Stanford University
Jann Spiess, Stanford University (Presenter)
Separation of Church and State Curricula? Examining Public and Religious Private School Textbooks
Anjali Adukia, University of Chicago (Presenter)
Emileigh Harrison, University of Chicago
AI for the Poorest Schools: Evidence from Sierra Leone
Paul Atherton, Fab Inc. and Fab Data
Daniel Bjorkegren, Columbia University (Presenter)
Jun Ho Choi, Columbia University
Oliver Garrod, University of Glasgow
Andrew Joyce-Gibbons, Fab Inc.
Miriam Mason-Sesay, EducAid Sierra Leone
Break
The Effect of Tutor CoPilot for Virtual Tutoring Sessions: Testing an Intervention to Improve Instruction with Expert-Guided LLM-generated Remediation Language
Dorottya Demszky, Stanford University
Susanna Loeb, Stanford University
Ana Ribeiro, Stanford University
Carly Robinson, Stanford University
Rose Wang, Stanford University (Presenter)
Clinical Notes Reveal Physician Fatigue
Chao-Chun Hsu, University of Chicago
Ziad Obermeyer, University of California, Berkeley
Chenhao Tan, University of Chicago (Presenter)
Lunch
1st Floor Dining Room
Keynote Lecture
Sendhil Mullainathan, Massachusetts Institute of Technology