Anne Fleur van Veenstra

Anne Fleur was a visiting researcher at Linköping University in Sweden from 2013 to 2015. Between 2007 and 2012 she was a researcher of digital government at the faculty of Technology, Policy and Management of Delft University of Technology, where she also wrote her PhD thesis titled IT-induced public sector transformation. She holds a Masters of Science in Systems Engineering, Policy Analysis and Management of Delft University of Technology and in International Relations of the University of Amsterdam (cum laude). She is the author of more than 100 (scientific and popular) publications on digital governance, digital policy and public sector transformation.

Professorship chair

Governance of data and algorithm for urban policy (Leiden University)

Research area

Digital policy and digital governance focus on developing mechanisms that enable effective and responsible digitalisation, such as regulation, governance arrangements, and policy labs for experimentation. These fields have grown in importance with the increased use of artificial intelligence (AI). Two important pillars of this research field are studies on the take-up and effects of digital technologies on society, and the development of methodologies for effective and responsible digitalisation. Examples of the take-up and effects of digitalisation are the use of algorithm in the public sector, and on public values and practices (pdf) of responsible data science. An example of the development of methodologies is TNO’s Policy Lab, conducting experiments with municipalities on the use of data analytics and AI, for societal challenges such as the energy transition and social policy.

Top publications

• Susha, I., Broek, T. van den, Veenstra, A.F. van & Linåker, J. (2023). An ecosystem perspective on developing data collaboratives for addressing societal issues: The role of conveners. Government Information Quarterly, 40(1), 101763. doi: 10.1016/j.giq.2022.10763.
• Georgieva, I., Lazo, C., Timan, T. & Veenstra, A.F. van (2022). From AI Ethics Principles to Data Science Practice: A reflection and a gap analysis based on recent frameworks and practical experience. AI and Ethics, 2(4), 697-711. doi: 10.1007/s43681-021-00127-3.
• Veenstra, A.F. van & Timan, T. (2022). A Public Value Impact Assessment Framework for Digital Governance. In: Y. Charalabidis, L.S. Flak & G. Viale Pereira (eds.) Scientific Foundations of Digital Governance and Transformation, Public Administration and Information Technology (PAIT) 38, Cham, Switzerland: Springer, 189-216. doi: 10.1007/978-3-030-92945-9_9.
• Veenstra, A.F. van, Grommé, F. & Djafari, S. (2021). The Use of Public Sector Data Analytics in The Netherlands. Transforming Government: People, Process and Policy 15(4), 396-419. doi: 10.1108/TG-09-2019-0095.
• Broek, T.A. van den & Veenstra, A.F. van (2018). Governance of Big Data Collaborations: How to Balance Regulatory Compliance and Disruptive Innovation. Technological Forecasting & Social Change 129, 330-338. doi: 10.1016/j.techfore.2017.09.040.
• Veenstra, A.F. van & Kotterink, B. (2017). Data-driven policy making: the Policy Lab approach. In: Parycek, P. et al. (eds.) Electronic Participation, 9th IFIP WG 8.5 International Conference ePart 2017, St. Petersburg, Russia, 4-7 September, Proceedings. LNCS 10429, Springer, 100-111. doi: 10.1007/978-3-319-64322-9.
• Veenstra, A.F. van, Klievink, B. & Janssen, M. (2011). Barriers and Impediments to Transformational Government: Insights from literature and practice. Electronic Government, An International Journal 8(2/3), 226-241. doi: 10.1504/EG.2011.039838.