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Modelling armed conflict risk under climate change with machine learning and time-series data

Crossref DOI link: https://doi.org/10.1038/s41467-022-30356-x

Published Online: 2022-05-20

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ge, Quansheng https://orcid.org/0000-0001-8712-8565
Hao, Mengmeng https://orcid.org/0000-0003-4025-3291
Ding, Fangyu https://orcid.org/0000-0003-1821-531X
Jiang, Dong https://orcid.org/0000-0002-4154-5969
Scheffran, Jürgen https://orcid.org/0000-0002-7171-3062
Helman, David https://orcid.org/0000-0003-0571-8161
Ide, Tobias https://orcid.org/0000-0001-8401-2372
License Information

Text and Data Mining valid from 2022-05-20

Version of Record valid from 2022-05-20
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Article History

Received: 23 February 2020

Accepted: 19 April 2022

First Online: 20 May 2022

Competing interests

: The authors declare no competing interests.