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BACKGROUND & RESEARCH INTERESTS

Brian Jabarian is an economist studying how emergent technologies reshape human behaviors and economic institutions. He uses experimental methods at the intersection of behavioral science and applied AI to study how artificial intelligence transforms work, decision-making, and the design of firms and markets. He partners with AI-driven companies to conduct natural field experiments that identify the real-world causal impacts of these technologies. In parallel, he designs laboratory and simulated experiments to investigate how AI reshapes the cognitive foundations and behavioral mechanisms of human work.

He is the Howard and Nancy Marks Fellow (postdoc) at the University of Chicago Booth Business School. Additionally, he serves as a principal researcher at the Roman Family Center for Decision Research and an affiliated researcher with the Booth Center for Applied AI. He completed his PhD in economics from PSE in July 2023.

He will be on the job market during the 2025-2026 academic year for assistant professorship positions.

SELECTED PUBLICATIONS & PRESENTATIONS

i) Charness, Gary, Brian Jabarian, and John A. List. "The next generation of experimental research with LLMs." Nature Human Behaviour (2025): 1-3.

ii) Jabarian, Brian. "Large Language Models for Behavioral Economics: Internal Validity and Elicitation of Mental Models." arXiv preprint arXiv:2407.12032 (2024)., in preparation for Elgar Encyclopedia of Experimental Social Science

iii) Jabarian, Brian. "Large Language Models for Behavioral Economics: Synthetic Mental Models and Data Generalization." Available at SSRN 4880894 (2024).  in preparation for Elgar Encyclopedia of Experimental Social Science

iv) Jabarian, Brian, and Elia Sartori. “Critical Thinking and Storytelling Contexts.” CESifo Working Paper No. 11282, CESifo, 2024,

v) Jabarian, Brian, and Simon Lazarus. “A Two-Ball Ellsberg Paradox.” CESifo Working Paper no. 10745, CESifo, 2023,