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Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade

CSS Publication Number
CSS25-04
Full Publication Date
February 21, 2025
Abstract

The Michigan Institute for Data and AI in Society (MIDAS) and the Cooperative Institute for Great Lakes Research (CIGLR) hosted a summit in Ann Arbor, Michigan, from 22 to 23 July 2024. The event brought together 22 scientists from across the country to envision how machine learning and artificial intelligence might be used to address some of the most pressing challenges facing Great Lakes science, restoration, and management over the next decade.

Author(s)
Andrew Gronewold
Co-Author(s)
Dani Jones
Scott Steinschneider
Paul Roebber
Sage Osborne
Lauren Fry
Lacey Mason
Andrea Vander Woude
Mantha S. Phanikumar
Nathan Fox
William S. Currie
Silvia Santa Maria Newell
Jia Wang
Alisa Young
Lindsay Fitzpatrick
Yi Hong
Hazem Abdelhady
William J. Pringle
E. Anders Kiledal
Research Areas
Water Resources
Framework, Methods & Tools
Publication Type
Other
Digital Object Identifier
https://doi.org/10.1175/BAMS-D-24-0304.1
Full Citation

Jones, D., and Coauthors, 2025: Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade. Bull. Amer. Meteor. Soc., 106, E378–E385. CSS25-04

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Mapping Out How Machine Learning and Artificial Intelligence Will Change Great …