title: A Sampling Framework for Uncertainty in Individual Environmental Decisions.
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.
authors.affiliation: Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development.|Santa Fe Institute.
authors.forename: Mirta
authors.initials: M
authors.lastname: Galesic
authors.affiliation: Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development.
authors.forename: Astrid
authors.initials: A
authors.lastname: Kause
authors.affiliation: Center for Adaptive Behavior and Cognition, Max Planck Institute for Human Development.|Department of Psychology, Social Psychology and Decision Sciences, University of Konstanz.
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Gaissmaier
mesh_terms: D057231:Climate Change; D003657:Decision Making; D004777:Environment; D006801:Humans; D008960:Models, Psychological; D008962:Models, Theoretical; D011640:Public Policy; D012306:Risk; D012494:Sampling Studies; D035501:Uncertainty
keywords: Climate change; Decision making; Environment; Public policy; Risk; Sampling; Uncertainty