Assessing the relative importance of psychological and demographic factors for predicting climate and environmental attitudes
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Using ML, we can model and cluster individuals based on their climate knowledge, preferences, demographics, and consumption characteristics, and thus predict who will be most amenable to new technologies and sustainable behavior change.
“Using ML, we can model and cluster individuals based on their climate knowledge, preferences, demographics, and consumption characteristics (e.g., [66,116,166,261,861]), and thus predict who will be most amenable to new technologies and sustainable behavior change.”
From Tackling climate change with machine learning (2023) · cites this paper as [66]
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References 58 · Cited by 91
Research works printed but not linked: 1
- Steg L, Berg AEvd, De Groot JIM (2013) Environmental psychology: an introduction. Malden, MA, Wiley
- Authors
- Beiser-McGrath, L. F., & Huber, R. A.
- Affiliations
- ETH Zurich (CH)
- ORCID
- Huber, Robert A.
- Venue
- Climatic Change
- Published
- 2018-08
- Volume
- 149
- Issue
- 3-4
- Pages
- 335-347
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2885544936
- Cited by
- 91
- References
- 58
- Citations by year
- 2026: 2 · 2025: 15 · 2024: 16 · 2023: 10 · 2022: 12 · 2021: 20 · 2020: 9 · 2019: 7
- FWCI
- 20.48
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Climatic Change (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Repository for Publications and Research Data (ETH Zurich) (submittedVersion, other-oa)
- ETH Zürich Research Collection
- Funders
- European Research Council (295456)
- Topics
- Social Sciences › Sociology and Political Science › Climate Change Communication and Perception
- Physical Sciences › Environmental Science › Management, Monitoring, Policy and Law › Environmental Education and Sustainability
- Social Sciences › Economics, Econometrics and Finance › Economics and Econometrics › Climate Change Policy and Economics
- Keywords
- climate change attitudes, environmental attitudes, consideration of future consequences, psychological predictors, sociodemographic predictors, education and income, persuasive messages, cross-national comparison
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