Holding out the promise of Lasswell's dream

Holding out the promise of Lasswell's dream: Big data analytics in public policy research and teaching

El-Taliawi, Ola G. (Carleton University)
Goyal, N. (TU Delft Organisation & Governance)
Howlett, Michael (Simon Fraser University)

2021

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.

bibliometric review
big data analytics
machine learning
pedagogy
policy sciences
public policy
topic modeling

http://resolver.tudelft.nl/uuid:0ef99e4e-8481-4643-99d5-3aac0f575707

https://doi.org/10.1111/ropr.12448

1541-132X

Review of Policy Research, 38 (6), 640-660

Institutional Repository

journal article

© 2021 Ola G. El-Taliawi, N. Goyal, Michael Howlett