Misunderstanding Models in Environmental and Public Health Regulation

dc.creatorFisher, Elizabeth
dc.creatorPascual, Pasky
dc.creatorWagner, Wendy E.
dc.date.accessioned2016-09-14T21:59:12Z
dc.date.available2016-09-14T21:59:12Z
dc.date.issued2010-01-01
dc.descriptionComputational models are fundamental to environmental regulation, yet their capabilities tend to be misunderstood by policymakers. Rather than rely on models to illuminate dynamic and uncertain relationships in natural settings, policymakers too often use models as “answer machines.” This fundamental misperception that models can generate decisive facts leads to a perverse negative feedback loop that begins with policymaking itself and radiates into the science of modeling and into regulatory deliberations where participants can exploit the misunderstanding in strategic ways. This paper documents the pervasive misperception of models as truth machines in U.S. regulation and the multi-layered problems that result from this misunderstanding. The paper concludes with a series of proposals for making better use of models in environmental policy analysis.en_US
dc.description.departmentThe Kay Bailey Hutchison Center for Energy, Law, and Businessen_US
dc.identifierdoi:10.15781/T2Z60C30Q
dc.identifier.urihttp://hdl.handle.net/2152/40330
dc.language.isoengen_US
dc.relation.ispartofKBH Energy Center Research and Publicationsen_US
dc.rights.restrictionOpenen_US
dc.subjectenvironmenten_US
dc.subjectpolicyen_US
dc.subjectpolicymakingen_US
dc.titleMisunderstanding Models in Environmental and Public Health Regulationen_US
dc.typeArticleen_US
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