Generative AI for Climate Governance and Acceptability-Constrained Policy Design

Manivannan, A. orcid.org/0000-0002-2860-8195, Spaiser, V., Cann, T.J.B. et al. (14 more authors) (Accepted: 2026) Generative AI for Climate Governance and Acceptability-Constrained Policy Design. npj Climate Action. ISSN: 2731-9814 (In Press)

Metadata

Item Type: Article
Authors/Creators:
  • Manivannan, A. ORCID logo https://orcid.org/0000-0002-2860-8195
  • Spaiser, V.
  • Cann, T.J.B.
  • Evans, J.
  • Everall, J.P.
  • Falkenberg, M.
  • Garcia, D.
  • Guo, W.
  • Herzog, R.
  • Otto, I.M.
  • Oswald, Y.
  • Pagan, N.
  • Pellert, M.
  • Pilgrim, C.
  • Rodriguez-Pardo, C.
  • Sen, I.
  • Vezhnevets, A.S.
Dates:
  • Accepted: 3 March 2026
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Education, Social Sciences and Law (Leeds) > School of Politics & International Studies (POLIS) (Leeds)
Funding Information:
Funder
Grant number
UKRI (UK Research and Innovation)
MR/V021141/1
UKRI (UK Research and Innovation)
Not Known
Date Deposited: 09 Mar 2026 15:50
Last Modified: 09 Mar 2026 15:50
Status: In Press
Publisher: Springer
Open Archives Initiative ID (OAI ID):

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