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Artificial intelligence for climate change adaptation
Resource type
Journal Article
Authors/contributors
- Cheong, So‐Min (Author)
- Sankaran, Kris (Author)
- Bastani, Hamsa (Author)
Title
Artificial intelligence for climate change adaptation
Abstract
Abstract
Although artificial intelligence (AI; inclusive of machine learning) is gaining traction supporting climate change projections and impacts, limited work has used AI to address climate change adaptation. We identify this gap and highlight the value of AI especially in supporting complex adaptation choices and implementation. We illustrate how AI can effectively leverage precise, real‐time information in data‐scarce settings. We focus on supervised learning, transfer learning, reinforcement learning, and multimodal learning to illustrate how innovative AI methods can enable better‐informed choices, tailor adaptation measures to heterogenous groups and generate effective synergies and trade‐offs.
This article is categorized under:
Application Areas > Government and Public Sector
Publication
WIREs Data Mining and Knowledge Discovery
Volume
12
Issue
5
Pages
e1459
Date
09/2022
Journal Abbr
WIREs Data Min & Knowl
Language
en
ISSN
1942-4787, 1942-4795
Accessed
24/02/2024, 11:11
Library Catalogue
DOI.org (Crossref)
Citation
Cheong, S., Sankaran, K., & Bastani, H. (2022). Artificial intelligence for climate change adaptation. WIREs Data Mining and Knowledge Discovery, 12(5), e1459. https://doi.org/10.1002/widm.1459
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