Learning Governments
Learning Governments is a theoretical framework within the field of policy experimentation that systematically integrates iterative learning processes, feedback mechanisms, and adaptive governance structures to enable state actors to refine policies through evidence-based experimentation and institutionalized knowledge accumulation.
12
Publications
797
Citations
18
Authors
14
Institutions
Publications per year
2017–2026
2
Parents
12
1–5 of 12
18
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1–5 of 18
14

Griffith University
Brisbane, Australia
1 h-index
1 publications
11 citations
New York University
New York, United States
1 h-index
1 publications
99 citations
University of Winnipeg
Winnipeg, Canada
1 h-index
1 publications
11 citations

LMU Klinikum
Munich, Germany
1 h-index
3 publications
171 citations

Stockholm University
Stockholm, Sweden
1 h-index
1 publications
231 citations
The Alan Turing Institute
London, United Kingdom
1 h-index
1 publications
15 citations
Princeton University
Princeton, United States
1 h-index
1 publications
99 citations
Ludwig-Maximilians-Universität München
Munich, Germany
1 h-index
3 publications
171 citations
1–8 of 14
1 publications · 231 citations
1
h-index
JEPP · 1 publications · 58 citations
1
h-index
1 publications · 155 citations
1
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1 publications · 20 citations
1
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1 publications · 11 citations
1
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1–5