Abstract
Decisions in the environmental and in particular the climate domain are burdened with uncertainty. Here, we focus on uncertainties faced by individuals when making decisions about environmental behavior, and we use the statistical sampling framework to develop a classification of different sources of uncertainty they encounter. We then map these sources to different public policy strategies aiming to help individuals cope with uncertainty when making environmental decisions.
| Original language | English |
|---|---|
| Journal | Topics in Cognitive Science |
| Volume | 8 |
| Issue number | 1 |
| Pages (from-to) | 242-258 |
| Number of pages | 17 |
| ISSN | 1756-8757 |
| DOIs | |
| Publication status | Published - 01.01.2016 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 13 Climate Action -
SDG 15 Life on Land
Research areas and keywords
- Climate change
- Decision making
- Environment
- Public policy
- Risk
- Sampling
- Uncertainty
- Psychology
ASJC Scopus Subject Areas
- Human-Computer Interaction
- Experimental and Cognitive Psychology
- Linguistics and Language
- Artificial Intelligence
- Cognitive Neuroscience
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