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Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond

Published: 04 August 2023 Publication History

Abstract

The Fragile Earth Workshop is a recurring event in ACM's KDD Conference on research in knowledge discovery and data mining that gathers the research community to find and explore how data science can measure and progress climate and social issues, fol- lowing the United Nations Sustainable Development Goals (SDGs) framework.

References

[1]
N.S. Diffenbaugh and Burke M. 2019. Global warming has increased global eco- nomic inequality. Proc Natl Acad Sci U S A. 116, 20 (May 2019), 9808--9813.
[2]
Masson-Delmotte,V.,P.Zhai,A.Pirani,S.L.Connors,C.Péan,S.Berger,N.Caud, Y. Chen, L. Goldfarb, M.I. Gomis, M. Huang, K. Leitzell, E. Lonnoy, J.B.R. Matthews, T.K. Maycock, T. Waterfield, O. Yelekçi, R. Yu, and B. Zhou (eds.). [n. d.]. IPCC 2021: Climate Change 2021: The Physical Science Basis. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. ([n. d.]).
[3]
Pörtner, H.O., D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Ale- gría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, and B. Rama (eds.). [n. d.]. IPCC 2022: Climate Change 2022: Impacts and Adaptation and and Vulner- ability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change. ([n. d.]).

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  1. Fragile Earth: AI for Climate Sustainability - From Wildfire Disaster Management to Public Health and Beyond

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        cover image ACM Conferences
        KDD '23: Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
        August 2023
        5996 pages
        ISBN:9798400701030
        DOI:10.1145/3580305
        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        New York, NY, United States

        Publication History

        Published: 04 August 2023

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        Author Tags

        1. artificial intelligence
        2. data mining
        3. machine learning

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        • NASA AIST
        • Department of Energy

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        KDD '23
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        Overall Acceptance Rate 1,133 of 8,635 submissions, 13%

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