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

Year: 2024

Type: article

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.

Source: Publication Database PIK (Potsdam Institute for Climate Impact Research (PIK))

Authors: Chen, M., Qian, Z., Boers, N. ; https://orcid.org/0000-0002-1239-9034, Creutzig, F., Camps-Valls, G., Hubacek, K., Claramunt, C., Wilson, J., Nativi, S., Jakeman, A., Müller, R., Batty, M., Zhou, C., Chen, F., Wang, Q., Zhang, F., Barton, C., Strobl, J., Meadows, M., Ratti, C., Hess, P. ; https://orcid.org/0000-0001-7097-2161, Xu, Q., Zhang, Z., Gu, Q., Zhu, A., Lin, H., Yuan, L., Lü, G.

Institution: Potsdam Institute for Climate Impact Research

Language: English

Topic: Artificial Intelligence Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funders: European Commission, HORIZON EUROPE Framework Programme, H2020 European Research Council

Awards: G1604232322, G2701512412, Understanding and Modelling the Earth System with Machine Learning, Climate Tipping Points: Uncertainty-aware quantification of Earth system tipping potential from observations and models and assessment of associated climatic, ecological, and socioeconomic impacts

OpenAlex ID: W7008674965

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