Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/27268
Appears in Collections:History and Politics Journal Articles
Peer Review Status: Refereed
Title: Reducing ambiguity to close the science-policy gap (Forthcoming/Available Online)
Author(s): Wellstead, Adam
Cairney, Paul
Oliver, Kathryn
Keywords: Evidence
causal mechanisms
policy capacity
Issue Date: 31-Dec-2018
Citation: Wellstead A, Cairney P & Oliver K (2018) Reducing ambiguity to close the science-policy gap (Forthcoming/Available Online), Policy Design and Practice. https://doi.org/10.1080/25741292.2018.1458397.
Abstract: Scientists often worry that their evidence is not used properly in the policy-making process. Their main response is to change the supply of evidence to reduce policymaker uncertainty. They should focus more on ambiguity, combining evidence and persuasion to help policymakers define the policy problem. To do so, they need to understand the policy process in which they engage. They cannot do so alone. Policy scholars can help, by articulating the practical value of policy theories. To help most effectively, they need to state clearly the “causal mechanisms” of the policy process. For example, what causes policymakers to pay attention to an issue informed partly by evidence, or what rules guide their behavior most strongly when weighing up evidence with other factors? In this paper, we show that policy theories have informed this debate, but often without making explicit statements of causality. We draw on the social science causal mechanisms field to improve such analysis and suggest use qualitative methods to clarify and measure causal mechanisms to benefit policy scholars and the wider policy analysis community. A focus on mechanisms can inform policy scholarship, science community engagement and on-the-ground policy work.
DOI Link: 10.1080/25741292.2018.1458397
Rights: © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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