AI to the rescue: how to enhance disaster early warnings with tech tools

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https://www.nature.com/articles/d41586-024-03149-z

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https://doi.org/10.1038/d41586-024-03149-z
 http://hdl.handle.net/11603/36936

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UMBC Faculty Collection
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https://orcid.org/0000-0001-6060-9844

Date

2024-10-01

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journal articles
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Citation of Original Publication

Kuglitsch, Monique M., Jon Cox, Jürg Luterbacher, Bilel Jamoussi, Elena Xoplaki, Muralee Thummarukudy, Golestan Sally Radwan, et al. “AI to the Rescue: How to Enhance Disaster Early Warnings with Tech Tools.” Nature 634, no. 8032 (October 2024): 27–29. https://doi.org/10.1038/d41586-024-03149-z.

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This work was written as part of one of the author's official duties as an Employee of the United States Government and is therefore a work of the United States Government. In accordance with 17 U.S.C. 105, no copyright protection is available for such works under U.S. Law.
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Subjects

Sustainability
Policy
Climate change

Abstract

Artificial intelligence can help to reduce the impacts of natural hazards, but robust international standards are needed to ensure best practice.