Data, Systems, and Society: Harnessing AI for Societal Good

Harnessing the power of data and AI methods to tackle complex societal challenges requires transdisciplinary collaborations across academia, industry, and government. In this compelling book, Munther A. Dahleh, founder of the MIT Institute for Data, Systems, and Society (IDSS), offers a blueprint for researchers, professionals, and institutions to create approaches to problems of high societal value using innovative, holistic, data-driven methods. More

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The first podcast on control theory.

Episode 27: Munther Dahleh on L1 control, agile robotic maneuvering, abstractions, cascaded failures, markets, data and systems for societal problems

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IDSS Data Nation

We face many overwhelming challenges in America today: systemic racism, data privacy, and political misinformation. Scholars and industry experts often disagree on how to find solutions. So, how can we find the right way to move forward? We let the data speak for itself.

Join hosts Liberty Vittert and Munther Dahleh on Data Nation, a production of MIT’s Institute for Data, Systems, and Society.  Available on on Apple, Spotify, or other podcast platforms.

Causal Matrix Completion
A. Agarwal, M.A. Dahleh,  D. Shah, and D. Shen
COLT 2023

Incentive Compatibility in Two-Stage Repeated Stochastic Games
Bharadwaj Satchidanandan, Munther A. Dahleh
IEEE Transactions on Control of Network Systems, 2023.

Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition
C. Ni, Y. Duan, M. A. Dahleh, M. Wang, A. R. Zhang
Published in the Journal of Machine Learning Research, February 2023

Coordination via Selling Information
A. Bonatti, M. A. Dahleh, T. Horel, A. Nouripour
February 2023