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hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorMeinard, Yves
dc.contributor.authorBarreteau, Olivier
dc.contributor.authorBoschet, Christophe
dc.contributor.authorDaniell, Katherine
dc.contributor.authorFerrand, Nils
dc.contributor.authorGirard, Sabine
dc.contributor.authorGuillaume, Joseph
dc.contributor.authorHassenforder, E.
dc.contributor.authorLord, Matthew
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorMerad, Myriam
dc.contributor.authorNabavi, Ehsan
dc.contributor.authorPetitjean, Claire
dc.contributor.authorPluchinotta, Irene
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorRouchier, Juliette
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorTsoukias, A.
dc.contributor.authorZaraté, P.
dc.date.accessioned2021-11-13T14:51:36Z
dc.date.available2021-11-13T14:51:36Z
dc.date.issued2020
dc.identifier.issn1432-1009
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/22192
dc.language.isoenen
dc.subjectDecision supporten
dc.subjectEnvironmental policiesen
dc.subjectLegitimacyen
dc.subjectDataen
dc.subjectPolicy analyticsen
dc.subject.ddc003en
dc.titleWhat is policy analytics? An exploration of 5 years of environmental management applicationsen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenOur digital age is characterized by both a generalized access to data and an increased call for participation of the public and other stakeholders and communities in policy design and decision-making. This context raises new challenges for political decision-makers and analysts in providing these actors with new means and moral duties for decision support, including in the area of environmental policy. The concept of “policy analytics” was introduced in 2013 as an attempt to develop a framework, tools, and methods to address these challenges. This conceptual initiative prompted numerous research teams to develop empirical applications of this framework and to reflect on their own decision-support practice at the science-policy interface in various environmental domains around the world. During a workshop in Paris in 2018, participants shared and discussed their experiences of these applications and practices. In this paper, we present and analyze a set of applications to identify a series of key properties that underpin a policy analytics approach, in order to provide the conceptual foundation for policy analytics to address current policy design and decision-making challenges. The induced properties are demand-orientedness, performativity, normative transparency, and data meaningfulness. We show how these properties materialized through these six case studies, and we explain why we consider them key to effective policy analytics applications, particularly in environmental policy design and decision-making on environmental issues. This clarification of the policy analytics concept eventually enables us to highlight research frontiers to further improve the concept.en
dc.relation.isversionofjnlnameEnvironmental Management
dc.relation.isversionofjnlvol67en
dc.relation.isversionofjnlissue5en
dc.relation.isversionofjnldate2021-01
dc.relation.isversionofjnlpages886-900en
dc.relation.isversionofdoi10.1007/s00267-020-01408-zen
dc.relation.isversionofjnlpublisherSpringeren
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidatenonen
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewedouien
dc.date.updated2021-11-13T14:47:16Z
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