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DOE OSTI · 2571672

ESnet Data and AI Workshop Report

Guok, Chin·Balas, Ed·Balasubramanian, Sowmya·Balcas, Justas·Daneshamooz, Jaber·Gholba, Sukhada·Haberman, M·Kwang, Shawn·MacAuley, John·Moats, Sam·Nikahd, Matthew·Oehlert, Sam·Rotermund, Cody·Robb, Chris·Stewart, Garrett·Tian, Jiachuan·Tracy, Chris·Wiedlea, Andrew·Wu, John·Yang, Xi·Yu, Se-young
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Abstract

In February 2025, the DOE user facility Energy Sciences Network (ESnet) held a three-day Data and AI Workshop in Berkeley, California. The objective of the workshop was to identify challenges within ESnet that could be addressed through data-driven methods, to help define ESnet’s data-analysis requirements, and to shape its AI strategy, guiding data-stewardship efforts and the direction of AI research and AIOps exploration for ESnet7, the next iteration of ESnet’s network. This report summarizes the multi-faceted discussions and findings and presents a set of recommendations for next steps.

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Guok, Chin, Balas, Ed, Balasubramanian, Sowmya, Balcas, Justas, Daneshamooz, Jaber, Gholba, Sukhada, Haberman, M, Kwang, Shawn, MacAuley, John, Moats, Sam, Nikahd, Matthew, Oehlert, Sam, Rotermund, Cody, Robb, Chris, Stewart, Garrett, Tian, Jiachuan, Tracy, Chris, Wiedlea, Andrew, Wu, John, Yang, Xi, Yu, Se-young. 2025-07-11. ESnet Data and AI Workshop Report. https://doi.org/10.2172/2571672

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