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Tackling Climate Change with Machine Learning

Resource type
Journal Article
Title
Tackling Climate Change with Machine Learning
Abstract
Climate change is one of the greatest challenges facing humanity, and we, as machine learning (ML) experts, may wonder how we can help. Here we describe how ML can be a powerful tool in reducing greenhouse gas emissions and helping society adapt to a changing climate. From smart grids to disaster management, we identify high impact problems where existing gaps can be filled by ML, in collaboration with other fields. Our recommendations encompass exciting research questions as well as promising business opportunities. We call on the ML community to join the global effort against climate change.
Publication
ACM Computing Surveys
Volume
55
Issue
2
Pages
1-96
Date
2023-02-28
Journal Abbr
ACM Comput. Surv.
Language
en
ISSN
0360-0300, 1557-7341
Accessed
24/02/2024, 11:09
Library Catalogue
DOI.org (Crossref)
Citation
Rolnick, D., Donti, P. L., Kaack, L. H., Kochanski, K., Lacoste, A., Sankaran, K., Ross, A. S., Milojevic-Dupont, N., Jaques, N., Waldman-Brown, A., Luccioni, A. S., Maharaj, T., Sherwin, E. D., Mukkavilli, S. K., Kording, K. P., Gomes, C. P., Ng, A. Y., Hassabis, D., Platt, J. C., … Bengio, Y. (2023). Tackling Climate Change with Machine Learning. ACM Computing Surveys, 55(2), 1–96. https://doi.org/10.1145/3485128