CaltechAUTHORS
Published February 2023 | Version public
Journal Article Metadata-only

Facilitating system-level behavioural climate action using computational social science

Creators

  • 1. ROR icon University of Cambridge
  • 2. ROR icon California Institute of Technology
  • 3. ROR icon Boston University
  • 4. ROR icon Aarhus University
  • 5. ROR icon University of Sussex

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

Identifiers

Eprint ID
119499
Resolver ID
CaltechAUTHORS:20230223-184464800.18

Dates

Created
2023-04-28
Created from EPrint's datestamp field
Updated
2023-04-28
Created from EPrint's last_modified field