Data-driven Policy Evaluation
Data-Driven Policy Evaluation is a systematic methodology within public management research that employs quantitative and qualitative data analytics to assess the effectiveness, efficiency, and impact of public policies, distinguished by its reliance on empirical data and advanced analytical techniques to inform and improve policy decisions.
123
Publications
5.3K
Citations
305
Authors
159
Institutions
Publications per year
2017–2026
66
123
Big data for policymaking: fad or fasttrack?
Sarah Giest · Policy Sciences · 2017 · 227 citations · Full text
1–5 of 123
305
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 305
159
University College London
London, United Kingdom
4 h-index
4 publications
298 citations
University at Albany, State University of New York
Albany, United States
2 h-index
8 publications
282 citations
Politecnico di Milano
Milan, Italy
2 h-index
5 publications
124 citations
University of California, Davis
Davis, United States
2 h-index
5 publications
202 citations
London School of Economics and Political Science
London, United Kingdom
2 h-index
2 publications
75 citations
Xiamen University
Xiamen, China
2 h-index
8 publications
352 citations
University of Pennsylvania
Philadelphia, United States
2 h-index
4 publications
132 citations
University of Cambridge
Cambridge, United Kingdom
2 h-index
5 publications
97 citations
1–8 of 159
5 publications · 393 citations
5
h-index
4 publications · 109 citations
4
h-index
AJE · 3 publications · 78 citations
3
h-index
3 publications · 122 citations
3
h-index
PPNP · 2 publications · 31 citations
2
h-index
1–5