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Uncertainty as Information: Narrowing the Science-policy Gap

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dc.contributor.author Bradshaw, G. A. en_US
dc.contributor.author Borchers, Jeffrey G. en_US
dc.date.accessioned 2009-07-31T14:51:05Z
dc.date.available 2009-07-31T14:51:05Z
dc.date.issued 2000 en_US
dc.date.submitted 2008-09-02 en_US
dc.date.submitted 2008-09-02 en_US
dc.identifier.uri https://hdl.handle.net/10535/2539
dc.description.abstract "Conflict and indecision are hallmarks of environmental policy formulation. Some argue that the requisite information and certainty fall short of scientific standards for decision making; others argue that science is not the issue and that indecisiveness reflects a lack of political willpower. One of the most difficult aspects of translating science into policy is scientific uncertainty. Whereas scientists are familiar with uncertainty and complexity, the public and policy makers often seek certainty and deterministic solutions. We assert that environmental policy is most effective if scientific uncertainty is incorporated into a rigorous decision-theoretic framework as knowledge, not ignorance. The policies that best utilize scientific findings are defined here as those that accommodate the full scope of scientifically based predictions." en_US
dc.subject adaptive systems en_US
dc.subject decision making en_US
dc.subject environmental policy en_US
dc.subject climate change en_US
dc.subject monitoring and sanctioning en_US
dc.subject risk en_US
dc.subject uncertainty en_US
dc.title Uncertainty as Information: Narrowing the Science-policy Gap en_US
dc.type Journal Article en_US
dc.type.published published en_US
dc.subject.sector Social Organization en_US
dc.subject.sector Information & Knowledge en_US
dc.identifier.citationjournal Ecology and Society en_US
dc.identifier.citationvolume 4 en_US
dc.identifier.citationnumber 1 en_US
dc.identifier.citationmonth July en_US

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