Professional Affiliations
J-PAL, Invited Researcher
Innovation Growth Lab, Network Member
JILAEE, Research Affiliate
CESifo, Network Affiliate
Social Profiles
Twitter
LinkedIn
Google Scholar
Booth profile
ORCID
Contact Information
brian.jabarian@chicagobooth.edu
The University of Chicago
Booth School of Business
5807 S. Woodlawn Ave.
Chicago, Illinois 60637 USA
I study how new technologies reshape cognitive work, decision-making, and the design of firms, markets, and institutions.
Partnering with industry and public organizations, I run experiments to study (i) the causal effects of AI on productivity, behavior, and organization in global markets; (ii) the ethical, institutional, and welfare consequences of AI transformation; (iii) the role of AI in accelerating scientific knowledge and transparency.
Current Employment & Education
I am the Howard and Nancy Marks Fellow, a Roman Family Center for Decision Research Principal Researcher, and a Center for Applied AI Research Affiliate at the University of Chicago Booth Business School. I received a PhD in economics from PSE in 2023.
I will be on the academic job market in 2025-2026
Research Interests
Applied AI · Behavioral Economics · Strategic Management & Entrepreneurship ·
Operations, Information & Technology
Curriculum vitae
Link to CV
Job Market Paper
Coming soon
Contact
brian.jabarian@chicagobooth.edu
Thaler-Tversky Independent Research Grant, 2025
Booth Center for Applied Artificial Intelligence Seed Grant, 2025
Google Cloud Education Research Program Grant, 2025
Becker-Friedman Institute, Research Program in Behavioral Economics, Research Seed Grant, 2024
Swiss National Fund Research Grant, 2024-2027 (co-PI recipient with P. G. Piacquadio)
Job Market Paper
Voice AI in Firms: A Natural Field Experiment on Automated Job Interviews Coming Soon
with Luca Henkel
Working Papers
The Virtues of Lab Experiments
with Gary Charness, James Cox, Charles Holt, Catherine Eckel
[pre-print] [CESifo No. 10796]
R&R at Journal of Economic Behavior and Organization
Distributional Approach to Risk Preferences New Paper
with Nir Chemaya, Charles Johnson, Enoch Yeung, Gary Charness
[pre-print]
Two-Ball Ellsberg Paradox New Update
with Simon Lazarus
[pre-print] [CESifo No. 10745]
Critical Thinking and Storytelling Contexts
with Elia Sartori
[pre-print] [CESifo No. 11282]
Selected Work in Progress
Artificial Writing and Automated Detection Coming Soon
with Alex Imas
Automated Cognitive Expertise and Human-AI Error Decomposition Coming Soon
AI Behavioral Science Coming Soon
with Matthew O. Jackson, Qiaozhu Mei, Stephanie W. Wang, Yutong Xie, Walter Yuan, Seth Benzell, Erik Brynjolfsson, Colin F. Camerer, James Evans, Jon Kleinberg, Juanjuan Meng, Sendhil Mullainathan, Asu Ozdaglar, Thomas Pfeiffer, Moshe Tennenholtz, Robb Willer, Diyi Yang, and Teng Ye
Screening Labor with AI and Humans: Optimal Choice and Welfare Field Data Collected
with Pëllumb Reshidi
Human-AI Learning: Theory and Field Evidence from Job Interviews Field Data Collected
with Andrew Koh
Personalized AI Interviews and Job Outcomes: A Natural Field Experiment Design Phase
with Luca Henkel
Critical Thinking and Economic Impacts: A Natural Field Experiment in Saudi Arabia on Educational and Labor Performance Pilot Data Collected
with Michael Cuna, Faith Fatchen, Faisal Kattan, Min Sok Lee and John List
Publications
Peer-Reviewed Articles
The Next Generation of Experimental Research with LLMs
with Gary Charness and John List
[pre-print] [NBER No. 31679]
Nature Human Behaviour, 2025
Covered in World Economic Forum, Chicago Booth Review, VoxEU Column
Survey and Book Chapters on AI, Economics, and Scientific Methods
LLMs for Behavioral Economics: Ensuring Internal Validity and Elicitating Mental Models
Invited Entry under preparation for the Elgar Encyclopedia of Experimental Social Science
[pre-print] [SSRN No. 4880892]
LLMs for Behavioral Economics: Synthetic Mental Models and Data Generalization
Invited Entry under preparation for the Elgar Encyclopedia of Experimental Social Science
[pre-print] [SSRN No. 4880894]
Black Boxes: Mental Models and AI Models
Invited Chapter under preparation for the Oxford Research Encyclopedia of Economics and Finance
[pre-print]