Computational Social Cognition Lab
Our lab studies how humans make sense of the social world they themselves construct, both in its
intelligent 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.
Emergent behaviors in multi-agent systems
Ph.D. Student
Gender bias in AI-assisted writing
Research Assistant
Historical portrayals of immigrants
Master Student
Lihao Sun (B.S. @
UChicago Computer Science) → M.S. @ NYU Courant
Institute of Mathematical Sciences