Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors
Abstract While numerous studies have examined factors associated with climate-friendly beliefs and behaviors, a systematic, cross-national ranking of their key correlates is lacking. We use interpretable machine learning to quantify the extent to which different climate-relevant outcomes (climate ch...
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| Main Authors: | Boryana Todorova, David Steyrl, Matthew J. Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J. Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C. Doell |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-05-01
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| Series: | npj Climate Action |
| Online Access: | https://doi.org/10.1038/s44168-025-00251-4 |
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