Computational Social Cognition Lab
Our lab studies how humans make sense of the social world they themselves construct, both in its
sophisticated design and its unintended consequences. Current projects often use social bias as a window
into this process. For example, we build computational cognitive models and multi-player experiments to
examine how seemingly rational behaviors can create social stratification; analyze historical datasets
to trace
stereotypes of immigrants; and explore ways to design socially intelligent agent system that can change
human biases. Our goal is to understand how humans collectively create, sustain, and
respond to social structures, shaping reality, and navigating it as if given, and to explore how to
change some potentially suboptimal social structures to imagine more collaborative futures.
We hold weekly joint lab meetings with Drs.
Alex Koch and
Alex
Todorov at Booth School of Business.
Stereotypes of national and immigrant groups
Postdoctoral Researcher
(Psychology)
Emergent behaviors in multi-agent systems
Ph.D. Student
(Psychology)
Natural language processing in psychology
Bei Yi Koh
Master Student
(Computational Social Science)
LLM debiasing
Undergraduate
(Applied Math & Computer Science)
Gender bias in hiring
Ayla Hasan
Undergraduate
(Economics & Cognitive Science)
Women in tech
Tricia Ho
Undergraduate
(Molecular Engineering)
LLM exploration in the wild
Tanya Syed
Undergraduate
(Economics & Cognitive Science)
Emergence of institution
Qiye Han
Undergraduate
(Economics)
Alicia Liu (Research Assistant) → Ph.D. in Psychology, University of Pennsylvania
Shiyao Wang (M.S.,
UChicago Computer Science & Harris) → Ph.D. in Management, Hong Kong University of Science and Technology
Lihao Sun (B.S.,
UChicago Computer Science) → Research Intern, Microsoft Research