What is Policy Analytics? An Exploration of 5 Years of Environmental Management Applications.
Our 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 ac...
| Publicado en: | Environmental Management Vol. 67; no. 5; pp. 886 - 901 |
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| Autores principales: | , , , , , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2021
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=149714895&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 149714895 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 0364152X O5H jtl: Environmental Management issn: 0364152X maglogo: N pubinfo: dt: May2021 vid: 67 iid: 5 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 149714895 148199798 10.1007/s00267-020-01408-z 149714895 ppf: 886 ppct: 15 formats: fmt: @attributes: type: P tig: atl: What is Policy Analytics? An Exploration of 5 Years of Environmental Management Applications. aug: au: Meinard, Yves Barreteau, Olivier Boschet, Christophe Daniell, Katherine A. Ferrand, Nils Girard, Sabine Guillaume, Joseph H. A. Hassenforder, Emeline Lord, Matthew Merad, Myriam Nabavi, Ehsan Petitjean, Claire Pluchinotta, Irene Rouchier, Juliette Tsoukias, Alexis Zarate, Pascale affil: Université Paris-Dauphine, PSL Research University, CNRS, UMR [7243], LAMSADE, F-75016, Paris, France sug: ab: Our 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. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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