Published February 2023
| public
Journal Article
Facilitating system-level behavioural climate action using computational social science
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.
Additional Information
© 2023 Springer Nature. The authors declare no competing interests.Additional details
- Eprint ID
- 119499
- Resolver ID
- CaltechAUTHORS:20230223-184464800.18
- Created
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2023-04-28Created from EPrint's datestamp field
- Updated
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2023-04-28Created from EPrint's last_modified field