Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade
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.
Jones, Dani, 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, and Andrew D. Gronewold. "Mapping Out How Machine Learning and Artificial Intelligence Will Change Great Lakes Observations, Modeling, and Forecasting in the Coming Decade", Bulletin of the American Meteorological Society 106, 2 (2025): E378-E385, doi: https://doi.org/10.1175/BAMS-D-24-0304.1. CSS25-04.