Balas, Ed

Balasubramanian, Sowmya

Balcas, Justas

Daneshamooz, Jaber

Gholba, Sukhada

Guok, Chin

Haberman, M

Kwang, Shawn

MacAuley, John

Moats, Sam

Nikahd, Matthew

Oehlert, Sam

Robb, Chris

Rotermund, Cody

Stewart, Garrett

Tian, Jiachuan

Tracy, Chris

Wiedlea, Andrew

Wu, John

Yang, Xi

Yu, Se-young

English

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

eScholarship - University of California

ESnet Data and AI Workshop Report

https://escholarship.org/content/qt1hx9b9ww/qt1hx9b9ww.pdf

ESnet Data and AI Workshop Report

Abstract

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