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The University of Chicago Data Science Institute, Department of Computer Science, and Department of Statistics are proud to announce our Autumn 2022 Distinguished Speaker Series. Join us Fridays at noon for stimulating talks from leading data science researchers exploring and expanding the fundamental methods and approaches that transform large and complex datasets into knowledge and action.

Events will take place in the John Crerar Library Building, Room 390, with a lunch social starting at noon before the lecture at 12:30 p.m. Remote attendees can also view the lecture live on Zoom with registration. Full event details and registration information will be posted as talk details are added.

October 7: Bo Li, University of Illinois at Urbana-Champaign – Trustworthy Federated Learning: Robustness, Fairness, Privacy, and Their Interconnections

October 14: James Zou, Stanford – Clinical Trials for AI and AI for Clinical Trials

October 28: Stefanie Jegelka, MIT – Understanding Generalization and Improving Invariances in Graph Representation Learning

November 11: Jordan Boyd-Graber, University of Maryland – If We Want AI to be Interpretable, We Need to Define and Measure It

November 18: Madhav Mani, Northwestern University – Towards a Theory of Organismal Development — From Data to Science

December 2: Ellen Zegura, Georgia Tech – Human-Centered Networking

December 7 (NOTE NEW DATE): Suvrit Sra, MIT – Geometric Optimization: Old and New