Generative AI for climate governance and acceptability-constrained policy design.

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Title: Generative AI for climate governance and acceptability-constrained policy design.
Authors: Manivannan, Ajaykumar1 (AUTHOR) a.manivannan@leeds.ac.uk, Spaiser, Viktoria1 (AUTHOR) V.Spaiser@leeds.ac.uk, Cann, Tristan J. B.2 (AUTHOR), Evans, James3 (AUTHOR), Everall, Jordan P.4 (AUTHOR), Falkenberg, Max5 (AUTHOR), Garcia, David6 (AUTHOR), Guo, Weisi7 (AUTHOR), Herzog, Rico8 (AUTHOR), Otto, Ilona M.4 (AUTHOR), Oswald, Yannick9 (AUTHOR), Pagan, Nicolò10 (AUTHOR), Pellert, Max11 (AUTHOR), Pilgrim, Charlie12 (AUTHOR), Rodriguez-Pardo, Carlos13,14,15 (AUTHOR), Sen, Indira16 (AUTHOR), Vezhnevets, Alexander Sasha17 (AUTHOR)
Source: NPJ Climate Action. 3/24/2026, Vol. 5 Issue 1, p1-8. 8p.
Database: Environment Complete
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  Data: Generative AI for climate governance and acceptability-constrained policy design.
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  Data: <searchLink fieldCode="JN" term="%22NPJ+Climate+Action%22">NPJ Climate Action</searchLink>. 3/24/2026, Vol. 5 Issue 1, p1-8. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=193006371
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              Text: 3/24/2026
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