Facilitating system-level behavioural climate action using computational social science

Creators: Debnath, Ramit; van der Linden, Sander; Alvarez, R. Michael; Sovacool, Benjamin K.

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Abstract

Recently, a Comment in Nature Human Behaviour recommended the collection of large-scale behavioural datasets through public data observatories to enable system-level climate action. Computational social science (CSS) approaches offer important tools to use these large-scale datasets to facilitate climate action.

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Resource type: Journal Article
Publisher: Nature Publishing Group
Published in: Nature Human Behaviour, 7(2), 155-156, ISSN: 2397-3374.

Created:: August 22, 2023
Modified:: October 25, 2023