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A Sampling Framework for Uncertainty in Individual Environmental Decisions
Author(s) -
Galesic Mirta,
Kause Astrid,
Gaissmaier Wolfgang
Publication year - 2016
Publication title -
topics in cognitive science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.191
H-Index - 56
eISSN - 1756-8765
pISSN - 1756-8757
DOI - 10.1111/tops.12172
Subject(s) - sampling (signal processing) , focus (optics) , environmental resource management , environmental policy , computer science , management science , environmental science , economics , computer vision , physics , filter (signal processing) , optics
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.