Data-Driven Policy Making: The Policy Lab Approach
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Smaller successes enable organisations to mature and build capabilities before undertaking a large-scale AI-driven challenge.
“Smaller successes enable organisations to mature and build capabilities before undertaking a large-scale AI-driven challenge”
From AI adoption and diffusion in public administration: A systematic literature review and future research agenda (2023) · cites this paper as van Veenstra & Kotterink, 2017
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- Authors
- van Veenstra, A. F., & Kotterink, B.
- Affiliations
- Netherlands Organisation for Applied Scientific Research (NL)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer International Publishing
- Published
- 2017
- Volume
- LNCS-10429
- Pages
- 100-111
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W2739965198
- Cited by
- 60
- References
- 39
- Citations by year
- 2026: 6 · 2025: 12 · 2024: 2 · 2023: 6 · 2022: 11 · 2021: 8 · 2020: 11 · 2019: 3 · 2017: 1
- FWCI
- 37.13
- Type
- conference paper
- Language
- en
- Open access
- green
- inria.hal.science
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- HAL (submittedVersion, cc-by)
- TNO Repository (submittedVersion)
- Repository hosted by TU Delft Library (TU Delft) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Social Sciences › Political Science and International Relations › E-Government and Public Services
- Social Sciences › Business, Management and Accounting › Management of Technology and Innovation › Innovative Approaches in Technology and Social Development
- Social Sciences › Public Administration › Public Policy and Administration Research
- Keywords
- data-driven policy, policy labs, wicked problems, policy cycle, policy experimentation, sensor data, citizen co-creation, public administration
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