Post-Normal Science in Practice at the Netherlands Environmental Assessment Agency
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- Arthur C. Petersen
- PBL Netherlands Environmental Assessment Agency (PBL), The Hague, Netherlands,
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- Albert Cath
- Narratio Knowledge & Advice, Amsterdam, Netherlands
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- Maria Hage
- PBL Netherlands Environmental Assessment Agency (PBL), The Hague, Netherlands
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- Eva Kunseler
- PBL Netherlands Environmental Assessment Agency (PBL), The Hague, Netherlands
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- Jeroen P. van der Sluijs
- Copernicus Institute for Sustainable Development and Innovation, Utrecht University, Utrecht, Netherlands, Research in Ecological Economics, Eco-Innovation & Tool Development for Sustainability, University of Versailles Saint-Quentin-en-Yvelines, France
抄録
<jats:p> About a decade ago, the Netherlands Environmental Assessment Agency (PBL) unwittingly embarked on a transition from a technocratic model of science advising to the paradigm of ‘‘post-normal science’’ (PNS). In response to a scandal around uncertainty management in 1999, a Guidance for ‘‘Uncertainty Assessment and Communication’’ was developed with advice from the initiators of the PNS concept and was introduced in 2003. This was followed in 2007 by a ‘‘Stakeholder Participation’’ Guidance. In this article, the authors provide a combined insider/outsider perspective on the transition process. The authors assess the extent to which the PNS paradigm has delivered new approaches in the agency’s practice and analyze two projects—on long-term options for Dutch sustainable development policy and for urban development policy—the latter in somewhat more detail. The authors identify several paradoxes PBL encounters when putting the PNS concept into practice. It is concluded that an openness to other styles of work than the technocratic model has become visible, but that the introduction of the PNS paradigm is still in its early stage. </jats:p>
収録刊行物
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- Science, Technology, & Human Values
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Science, Technology, & Human Values 36 (3), 362-388, 2010-11-30
SAGE Publications
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キーワード
詳細情報 詳細情報について
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- CRID
- 1363107370686278400
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- ISSN
- 15528251
- 01622439
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- データソース種別
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- Crossref