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Implementing post-normal science with or for EU policy actors : using quantitative story-telling
Blackstock, Kirsty (James Hutton Institute)
Waylen, K. A. (James Hutton Institute)
Matthews, K. B. (James Hutton Institute)
Juarez-Bourke, A. (James Hutton Institute)
Miller, D. G. (James Hutton Institute)
Hague, A. (James Hutton Institute)
Wardell-Johnson, D. H. (James Hutton Institute)
Giampietro, Mario (Universitat Autònoma de Barcelona. Institut de Ciència i Tecnologia Ambientals)

Data: 2023
Resum: There is increasing recognition of the wicked nature of the intertwined climate, biodiversity and economic crises, and the need for adaptive, multi-scale approaches to understanding the complexity of both the problems and potential responses. Most science underpinning policy responses to sustainability issues, however, remains overtly apolitical and focussed on technical innovation; at odds with a critical body of literatures insisting on the recognition of systemic problem framing when supporting policy processes. This paper documents the experience of implementing a mixed method approach called quantitative story-telling (QST) to policy analysis that explicitly recognises this normative dimension, as the methodology is part of a post-normal science (PNS) toolkit. The authors reflect on what was learnt when considering how QST fared as a tool for science-policy interaction, working with European Union (EU) level policy actors interested in sustainable agriculture and sustainable development goal 2. These goals-also known as UN Agenda 2030-are the latest institutionalisation of the pursuit of sustainable development and the EU has positioned itself as taking a lead in its implementation. Thus, the paper illustrates our experience of using PNS as an approach to science policy interfaces in a strategic policy context; and illustrates how the challenges identified in the science-policy literature are amplified when working across multiple policy domains and taking a complex systems approach. Our discussion on lessons learnt may be of interest to researchers seeking to work with policy-makers on complex sustainability issues.
Ajuts: European Commission 689669
Ministerio de Ciencia, Innovación y Universidades CEX2019-000940-M
Nota: Unidad de excelencia María de Maeztu CEX2019-000940-M
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Quantitative story-telling ; Post-normal science ; Science-policy interactions ; European Union ; Agriculture
Publicat a: Sustainability science, Vol. 18 (January 2023) , p. 1235-1250, ISSN 1862-4057

DOI: 10.1007/s11625-022-01265-1
PMID: 36694671


16 p, 1.1 MB

El registre apareix a les col·leccions:
Documents de recerca > Documents dels grups de recerca de la UAB > Centres i grups de recerca (producció científica) > Ciències > Institut de Ciència i Tecnologia Ambientals (ICTA)
Articles > Articles de recerca
Articles > Articles publicats

 Registre creat el 2023-07-29, darrera modificació el 2024-02-28



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