The next generation of machine learning for tracking adaptation texts

Sietsma, Anne J.; Ford, James D.; Minx, Jan C.

doi:10.1038/s41558-023-01890-3

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The next generation of machine learning for tracking adaptation texts

Sietsma, A. J., Ford, J. D., Minx, J. C. (2024): The next generation of machine learning for tracking adaptation texts. - Nature Climate Change, 14, 1, 31-39.
https://doi.org/10.1038/s41558-023-01890-3

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Item Permalink: https://publications.pik-potsdam.de/pubman/item/item_31101 Version Permalink: https://publications.pik-potsdam.de/pubman/item/item_31101_1

Genre: Journal Article

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Sietsma, Anne J.¹, Author
Ford, James D., Author
Minx, Jan C., Author

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1External Organizations, ou_persistent22

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Dates: Finally published : 2024

Publication Status: Finally published

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Identifiers: DOI: 10.1038/s41558-023-01890-3
BibTex Citekey: RN1048

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Title: Nature Climate Change

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Pages: - Volume / Issue: 14 (1) Sequence Number: - Start / End Page: 31 - 39 Identifier: PIKDOMAIN: RD5 - Climate Economics and Policy - MCC Berlin
Organisational keyword: RD5 - Climate Economics and Policy - MCC Berlin
Working Group: Evidence for Climate Solutions