August 31 – September 2, 2026      Chicago, IL

WM@Booth

Workshop on World Models - Hosted by Chicago Booth

World Models at Chicago Booth



About the Event

WM@Booth brings together researchers from computer and social sciences to explore how world models can transform decision-making. The workshop will feature opinionated keynote talks on the future of AI, lightning talks, poster sessions, and culimnate in hands-on sessions applying WMs to a variety of use cases.

When: August 31 – September 2, 2026

Where: The University of Chicago Gleacher Center, 450 Cityfront Plaza Dr, Chicago, IL 60611

Format:

  • Day 1 (Aug 31): Keynote talks, lightning talks, panel discussion, and a poster session
  • Day 2 (Sep 1): Deep-dive sessions on methods for finance, economics, and physics. Plus lightning talks and a poster session
  • Day 3 (Sep 2): Hands-on coding workshop with tutorials and a modeling challenge
Sponsor Opportunities

The organizers invite sponsors to connect with the community. In addition to supporting the workshop, you will be gratefully recognized in various media and materials, and have the opportunity to closely engage with workshop participants.

Information: Learn about various sponsorship levels, benefits, and opportunities. Sponsors are encouraged to contact the WM@Booth organizing committee.

Randall Balestriero
Randall Balestriero

Assistant Professor of Computer Science at Brown University

Bradford Levy
Bradford Levy

Assistant Professor of Accounting and Applied AI at Chicago Booth School of Business

Kawin Ethayarajh
Kawin Ethayarajh

Assistant Professor of Applied AI at Chicago Booth School of Business

XY Han
XY Han

Assistant Professor of Operations Management at Chicago Booth School of Business

Important Dates



Submission Deadline May 29, 2026
Author Notification June 30, 2026
Workshop August 31 – September 2, 2026

Keynote Speakers



Yann LeCun
Yann LeCun

Jacob T. Schwartz Professor at NYU

Executive Chairman of AMI Labs

Diyi Yang
Diyi Yang

Assistant Professor of Computer Science at Stanford


Additional speakers to be announced.

Schedule


Call for Papers


We invite submissions on world models from across disciplines — computer vision, reinforcement learning, robotics, finance, economics, and the physical sciences. Contributions may take any form: new architectures, empirical studies probing existing models in new domains, theoretical analyses, benchmarks, or novel applications. Work that bridges fields is especially encouraged.


Format NeurIPS 2026 style and length limits
Track Single track; selected papers will receive best paper awards presented at the workshop
Archival Non-archival — authors are free to submit elsewhere
Deadline May 29, 2026

Submit via OpenReview (link coming soon). Questions? Contact TBD@chicagobooth.edu.

Registration


Registration details coming soon.