Pearce, W. orcid.org/0000-0001-6884-3854, Mahony, M. and Raman, S. (2018) Science advice for global challenges: learning from trade-offs in the IPCC. Environmental Science & Policy, 80. pp. 125-131. ISSN 1462-9011
Abstract
In the context of ongoing debates about the place of knowledge and expertise in the governance of global challenges, this article seeks to promote cross-sectoral learning about the politics and pitfalls of global science advice. It begins with the intertwined histories of the Intergovernmental Panel on Climate Change (IPCC) and the global climate policy regime, before examining the politics of different ‘framings’ of the climate problem and the challenges of building and communicating scientific consensus. We then identify three important trade-offs which the IPCC has had to negotiate: global versus local; scientific disinterestedness versus policy-relevance; and consensus versus plurality. These lessons are especially timely as global institutions begin to convene knowledge to address urgent sustainable development challenges posed by anti-microbial resistance (AMR). While the IPCC experience does not provide a wholly transportable model for science advice, we show why similar trade-offs need to be addressed at an early stage by architects of advisory systems for AMR as well as other global challenges.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/BY/4.0/). |
Keywords: | Science advice; Global challenges; Antimicrobial resistance; IPCC; Climate change; Scientific assessment |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 21 Dec 2017 12:38 |
Last Modified: | 01 Nov 2018 10:07 |
Published Version: | https://doi.org/10.1016/j.envsci.2017.11.017 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.envsci.2017.11.017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:125429 |