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Governance for Effective Policy-Relevant Scientific Research: The Shared Governance Model

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  • Mark Burgman

Abstract

Despite the aligned aspirations of many applied scientists and policy-makers that science should contribute directly to policy decisions, there are significant gaps between what scientists provide and what policy-makers can use. This article outlines the features that encourage effective adoption of scientific advice in public policy. It reviews some of the major impediments to its use. It describes governance mechanisms that aim to overcome these impediments, and discusses their strengths and weaknesses. Opportunities exist for designing governance mechanisms that will better support the development and persistence of the personal relationships that underpin the most effective delivery of science for policy.

Suggested Citation

  • Mark Burgman, 2015. "Governance for Effective Policy-Relevant Scientific Research: The Shared Governance Model," Asia and the Pacific Policy Studies, Wiley Blackwell, vol. 2(3), pages 441-451, September.
  • Handle: RePEc:bla:asiaps:v:2:y:2015:i:3:p:441-451
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    File URL: http://hdl.handle.net/10.1002/app5.104
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    References listed on IDEAS

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    1. John P A Ioannidis, 2005. "Why Most Published Research Findings Are False," PLOS Medicine, Public Library of Science, vol. 2(8), pages 1-1, August.
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    3. Pannell, David J., 2004. "Effectively communicating economics to policy makers," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 48(3), pages 1-21.
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    5. Simon French, 2012. "Expert Judgment, Meta-analysis, and Participatory Risk Analysis," Decision Analysis, INFORMS, vol. 9(2), pages 119-127, June.
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    Cited by:

    1. Vardon, Michael & Burnett, Peter & Dovers, Stephen, 2016. "The accounting push and the policy pull: balancing environment and economic decisions," Ecological Economics, Elsevier, vol. 124(C), pages 145-152.

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