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Uncertainty and precaution in environmental management.

M Krayer von Krauss1, M B A van Asselt, M Henze

  • 1Environment & Resources, Technical University of Denmark, Bygningstorvet, Denmark. mkk@er.dtu.dk

Water Science and Technology : a Journal of the International Association on Water Pollution Research
|November 25, 2005
PubMed
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This paper contrasts science-policy relationships, exploring the Precautionary Principle and information quality. It highlights the need for collective judgment and multidimensional uncertainty assessment for policy decisions.

Area of Science:

  • Environmental Science
  • Policy Studies
  • Risk Assessment

Background:

  • Contrasts the "modern" and "precautionary" visions of science-policy interactions.
  • Examines the conditions and challenges associated with invoking the Precautionary Principle.
  • Addresses the central question of justifying regulatory interventions under scientific uncertainty.

Purpose of the Study:

  • To explore the concept of "quality of information" in policy contexts.
  • To present uncertainty as a multidimensional concept beyond statistical interpretation.
  • To discuss the development of methods for assessing qualitative uncertainty and model quality.

Main Methods:

  • Comparative analysis of science-policy relationship visions.
  • Exploration of information quality assessment criteria.

Related Experiment Videos

  • Discussion of multidimensional uncertainty and its assessment.

    • Main Results:

    • Information quality lacks absolute definition, requiring collective, deliberative judgment.
    • Uncertainty assessment necessitates qualitative methods and participation from non-scientists.
    • Model quality depends on suitability for purpose and resemblance to reality.

    Conclusions:

    • Regulatory interventions require justification beyond scientific certainty, considering information quality and context.
    • Collective judgment and participation of diverse stakeholders are crucial for assessing information and uncertainty.
    • Further research is needed on effectively integrating uncertainty information into policy-making.