Connectionists: Workshop: Information-Theoretic Methods for Learning Dynamics (NITMB, Chicago, Feb 8-12, 2027) - apply by Nov 9

[Nemenman, Ilya]

Dear colleagues,

Applications are open for the NITMB workshop Information-Theoretic Methods for Learning Dynamics, February 8-12, 2027, at the National Institute for Theory and Mathematics in Biology in Chicago.

The workshop brings together researchers working on AI for learning dynamics from data, with a special focus on information-theoretic methods. Topics include predictive information, the information bottleneck, latent-variable models, entropy and mutual-information estimation, world models of biological systems, and connections to dynamical systems and control theory.

It is part of a six-week NITMB program, Image-Based Scientific Machine Learning for Theories of Biological Dynamics Across Scales (February 1 - March 12, 2027).

Workshop (details and applications - use the Application tab):
https://www.nitmb.org/information-theoretic-methods-for-learning-dynamics

Program:
https://www.nitmb.org/ai-in-biological-dynamics-scientific-focus

Deadlines:
- November 9, 2026 - applicants requesting travel and lodging support (provided by NITMB)
- December 8, 2026 - local applicants

Students, postdocs and early-career researchers are especially encouraged to apply. Please pass this on to anyone it suits.

Thanks,
Ilya Nemenman
Emory University