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Uncertainty in Policy Making
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Uncertainty in Policy Making : Values and Evidence in Complex Decisions

Book Details

Format Hardback or Cased Book
ISBN-10 184971083X
ISBN-13 9781849710831
Publisher Taylor & Francis Ltd
Imprint Earthscan Ltd
Country of Manufacture GB
Country of Publication GB
Publication Date Sep 17th, 2010
Print length 204 Pages
Weight 460 grams
Dimensions 23.50 x 16.30 x 2.10 cms
Ksh 7,650.00
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Explores how uncertainty is interpreted and used by policy makers, experts and politicians. This title argues that conventional notions of rational, evidence-based policy making - hailed by governments and organisations across the world as the only way to make good policy - is an impossible aim in highly complex and uncertain environments.
Uncertainty in Policy Making explores how uncertainty is interpreted and used by policy makers, experts and politicians. It argues that conventional notions of rational, evidence-based policy making - hailed by governments and organisations across the world as the only way to make good policy - is an impossible aim in highly complex and uncertain environments; the blind pursuit of such a ''rational'' goal is in fact irrational in a world of competing values and interests. The book centres around two high-profile and important case studies: the Iraq war and climate change policy in the US, UK and Australia. Based on three years'' research, including interviews with experts such as Hans Blix, Paul Pillar, and Brian Jones, these two case studies show that the treatment of uncertainty issues in specialist advice is largely determined by how well the advice fits with or contradicts the policy goals and orientation of the policy elite. Instead of allowing the debates to be side-tracked by arguments over whose science or expert advice is ''more right'', we must accept that uncertainty in complex issues is unavoidable and recognise the values and interests that lie at the heart of the issues. The book offers a ''hedging'' approach which will enable policy makers to manage rather than eliminate uncertainty.

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