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Uncertainty in Policy Making (Values and Evidence in Complex Decisions)

List Price: $57.99
SKU:
9781849710831
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  • Product Details

    Author:
    Michael Heazle
    Format:
    Hardcover
    Pages:
    204
    Publisher:
    Taylor & Francis (September 17, 2010)
    Language:
    English
    ISBN-13:
    9781849710831
    Weight:
    21.875oz
    Dimensions:
    6.125" x 9.1875"
    File:
    TAYLORFRANCIS-TayFran_260127073654430-20260127.xml
    Folder:
    TAYLORFRANCIS
    List Price:
    $57.99
    Series:
    The Earthscan Science in Society Series
    Case Pack:
    16
    As low as:
    $55.09
    Publisher Identifier:
    P-CRC
    Discount Code:
    H
    Country of Origin:
    United States
    Pub Discount:
    30
    Imprint:
    Routledge
  • Overview

    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.