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  Collaboration between artificial intelligence and Earth science communities for mutual benefit [Comment]

Chen, M., Qian, Z., Boers, N., Creutzig, F., Camps-Valls, G., Hubacek, K., Claramunt, C., Wilson, J. P., Nativi, S., Jakeman, A. J., Müller, R. D., Batty, M., Zhou, C., Chen, F., Wang, Q., Zhang, F., Barton, C. M., Strobl, J., Meadows, M., Ratti, C., Hess, P., Xu, Q., Zhang, Z., Gu, Q., Zhu, A.-X., Lin, H., Yuan, L., Lü, G. (2024): Collaboration between artificial intelligence and Earth science communities for mutual benefit [Comment]. - Nature Geoscience, 17, 949-952.
https://doi.org/10.1038/s41561-024-01550-x

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_30407 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_30407_2
Genre: Journal Article

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Chen_et_al-2024-Nature_Geoscience.pdf (Publisher version), 743KB
 
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 Creators:
Chen, Min1, Author
Qian, Zhen2, Author              
Boers, Niklas2, Author              
Creutzig, Felix1, Author
Camps-Valls, Gustau1, Author
Hubacek, Klaus1, Author
Claramunt, Christophe1, Author
Wilson, John P.1, Author
Nativi, Stefano1, Author
Jakeman, Anthony J.1, Author
Müller, R. Dietmar1, Author
Batty, Michael1, Author
Zhou, Chenghu1, Author
Chen, Fahu1, Author
Wang, Qiao1, Author
Zhang, Fan1, Author
Barton, C. Michael1, Author
Strobl, Josef1, Author
Meadows, Michael1, Author
Ratti, Carlo1, Author
Hess, Philipp2, Author              Xu, Qingsong1, AuthorZhang, Zhixin1, AuthorGu, Qiushi1, AuthorZhu, A-Xing1, AuthorLin, Hui1, AuthorYuan, Linwang1, AuthorLü, Guonian1, Author more..
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: Artificial intelligence is rapidly being integrated into Earth science, but how Earth science may benefit artificial intelligence has been overlooked. We call for mutual balancing between the two disciplines and improving cross-disciplinary collaboration.

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Language(s): eng - English
 Dates: 2024-10-092024-10-09
 Publication Status: Finally published
 Pages: 4
 Publishing info: -
 Table of Contents: -
 Rev. Type: No review
 Identifiers: DOI: 10.1038/s41561-024-01550-x
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD4 - Complexity Science
Organisational keyword: FutureLab - Artificial Intelligence in the Anthropocene
Model / method: Machine Learning
MDB-ID: No data to archive
PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
 Degree: -

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Title: Nature Geoscience
Source Genre: Journal, SCI, Scopus, p3
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Pages: - Volume / Issue: 17 Sequence Number: - Start / End Page: 949 - 952 Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/journals355
Publisher: Nature