Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching.
While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis as well as policy studies. Further, it opens avenues for pract...
| Publicado en: | Review of Policy Research Vol. 38; no. 6; pp. 640 - 661 |
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| Autores principales: | , , |
| Formato: | Artículo |
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Wiley-Blackwell
Nov2021
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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=ssf&AN=153299975&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 153299975 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 1541132X MJJ jtl: Review of Policy Research issn: 1541132X maglogo: Y pubinfo: dt: Nov2021 vid: 38 iid: 6 pid: 480 pub: Wiley-Blackwell artinfo: ui: 153299975 10.1111/ropr.12448 ppf: 640 ppct: 21 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.2MB tig: atl: Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching. aug: au: El‐Taliawi, Ola G. Goyal, Nihit Howlett, Michael affil: Department of Political Science, Faculty of Public Affairs, Carleton University, Ottawa ON,, Canada Faculty of Technology, Policy and Management, Delft University of Technology, Delft, Netherlands Department of Political Science, Simon Fraser University, Burnaby BC,, Canada su: Government policy Policy sciences Curriculum Big data Data analytics University research College teaching Data science sug: subj: Government policy Policy sciences Curriculum Big data Data analytics University research College teaching Data science keyword: bibliometric review big data analytics machine learning pedagogy policy sciences public policy topic modeling análisis de big data aprendizaje automático ciencias políticas modelado de temas pedagogía política pública revisión bibliométrica 主题建模 公共政策 大数据分析学 政策科学 教学法 文献计量综述 机器学习 bibliometric review big data analytics machine learning pedagogy policy sciences public policy topic modeling análisis de big data aprendizaje automático ciencias políticas modelado de temas pedagogía política pública revisión bibliométrica 主题建模 公共政策 大数据分析学 政策科学 教学法 文献计量综述 机器学习 ab: While the emergence of big data raises concerns regarding governance and public policy, it also creates opportunities for diversifying the toolkit for analysis for the policy sciences as a whole, i.e., research concerning policy analysis as well as policy studies. Further, it opens avenues for practice, which together with research requires adaptation in teaching curricula if policy education were to remain relevant. However, it is not clear to what extent this opportunity is being realized in public policy research and teaching. In this study, we examine the prevalence of big data analytics in public policy research and pedagogy using bibliometric analysis and topic modeling for the former, and content analysis of course titles and descriptions for the latter. We find that despite significant scope for application of various big data techniques, the use of these analytic techniques in public policy has been largely limited to select institutions in a few countries. Further, data science has received limited attention in policy pedagogy, once again with significant geographic variation in its prevalence. We conclude that, to stay relevant, the policy sciences need to pay more attention to the integration of big data techniques in policy research, pedagogy, and thereby practice. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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