Brian Min (Associate Professor, Department of Political Science, University of Michigan) presented during the panel “AI for Energy Access” at the 2023 Energy Data Analytics Symposium, held Oct. 26–27, 2023, at Duke University.

The symposium explored how data science tools, including AI, can help make energy systems more accessible, affordable, reliable, and environmentally sustainable. The two-day event highlighted the work of established experts and energy professionals, as well as emerging scholars in the field.

The symposium was organized by the Energy Data Analytics Lab at Duke University's Nicholas Institute for Energy, Environment & Sustainability (https://nicholasinstitute.duke.edu/is...) and the Energy Analysis and Policy (EAP) Program at the University of Wisconsin-Madison (https://eap.wisc.edu). Funding support was provided by a grant from the Alfred P. Sloan Foundation* and NASA**.

This event is aligned with the Duke Climate Commitment, which unites the university’s education, research, operations and public service missions to address the climate crisis.

(* Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff.)

(** Note: Trade names and trademarks are used in this presentation for identification only. Their usage does not constitute an official endorsement, either expressed or implied, by the National Aeronautics and Space Administration.)

Learn more about the 2023 Energy Data Analytics Symposium: Accelerating Sustainability in the AI Era: https://bit.ly/edas2023

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