Publications

Machine learning in Earth and environmental science requires education and research policy reforms

S.W. Fleming, J.R. Watson, A. Ellenson, A.J. Cannon, V.V. Vesselinov

Nature Geoscience2021DOI 10.1038/s41561-021-00865-3

Summary

This comment argues that advances in artificial intelligence and machine learning could significantly accelerate discovery and prediction in Earth and environmental science. It also contends that current research funding, training, and educational structures are not yet preparing enough geoscientists to use these tools effectively, and calls for policy and curriculum reforms to build that capacity.

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