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February 20, 2026

Validating Generative AI-Based Social Sciences

Validating Generative AI-Based Social Sciences

Friday, Feb. 20
9 a.m. - 5 p.m.

Frances Searle Building, Center for Human-Computer Interaction + Design (Room 1-122), 2240 Campus Drive

Generative AI is reshaping how we study human behavior, but are we validating what we simulate? This event brings together researchers from social computing, design, and computational social science to tackle the questions at the heart of generative social science. As large language models (LLMs) increasingly generate social and behavioral data, we’ll explore what kinds of tests, methods, and systems are needed to ensure these simulations are credible, replicable, and truly useful.

With preprints and products emerging faster than the research community can connect, this event offers a timely space for interdisciplinary dialogue. This event will spark collaboration across disconnected teams and help shape the future of ethical, rigorous generative AI research.

Organizers

Guest Speakers

Serina Chang headshot

Serina Chang

Assistant Professor in Electrical Engineering and Computer Sciences and Computational Precision Health, UC Berkeley
View Serina Chang's Profile

Schedule

Time Activity Speakers
9 - 9:30 a.m. Opening / Welcome
  • Christopher Schuh
  • Aaron Shaw
  • Jessica Hullman
  • Yingdan Lu
9:30 - 10:30 a.m. Lightning Talks and Q&A
  • David Broska
  • Serena Chang
  • Kristina Gilogirc
10:30 - 10:45 a.m. Break
10:45 a.m. - 12:15 p.m. Lightning Talks and Q&A
  • Angelina Wang
  • Patryk Perkowski
  • Austin van Loon
12:15 - 1:30 p.m. Lunch 
1:30 - 3 p.m. Lightning Talks and Q&A
  • Austin Kozlowski
  • Jonne Kramphorst
  • Michael Spadafore
  • John Horton
3 - 3:30 p.m. Group Discussion and
Breakout Topic Refinement
3:30 - 4:30 p.m. Breakout Group Discussions
4:30 - 5 p.m. Report-Out and Wrap Up
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