Holding out the promise of Lasswell's dream

Big data analytics in public policy research and teaching

Datos Bibliográficos

ID4074128
AutoresOla G El‐taliawi (0000-0002-1615-6021, Carleton University), Namrata Goyal (0000-0002-1025-7585, Delft University of Technology, autor de correspondencia), Michael Howlett (0000-0003-4689-740X, Simon Fraser University)
Año2021
Volumen38
Número6
Páginas640-660
Fecha de publicación2021-11-01
Open AccessSí
TipoARTICLE
RevistaReview of Policy Research (JOURNAL)
Identificadores de la revistaISSN: 1541-132X • E-ISSN: 1541-1338
EditorialWiley (PUBLISHER • GB)
DOI10.1111/ropr.12448
OpenAlexW3199853562
IdiomaEN
Citas recibidas12
Referencias citadas83

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

Analytics · Big data · Corporate governance · Curriculum · Data mining · Data science · Economics · Education policy · Higher education · Management · Pedagogy · Policy analysis · Policy Sciences · Policy studies · Political science · Public policy · Public relations · Scope (computer science · Sociology · Computational and Text Analysis Methods · Computer Science · Data Analysis with R · Data Quality and Management · Public Administration

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