Ir. F.J. (Floris) van Krimpen


Floris is a Dual PhD candidate in the Organisation & Governance section of the faculty of Technology, Policy and Management and at the department of Management Engineering at Politecnico di Milano. He obtained his bachelor’s degree in Systems Engineering, Policy Analysis and Management and master’s degree in Engineering and Policy Analysis from TU Delft. During his master programme, he spent an exchange semester at Politecnico di Milano. Before starting a PhD he followed the L.E.A.D. Programme, a one year traineeship from X!Delft, a part of the TU Delft valorisation centre.


In his research Floris is focused on the use of machine learning techniques for supporting decision-making on wicked problems. Specifically, he researches the implicit or explicit institutions or ‘rules of the game’ that govern the behaviour of stakeholders along the entire development and use cycle of machine learning when applied for supporting decision-making on wicked issues. He studies this in the setting of public organizations such as inspectorates or similar executive agencies. With his research he wants to contribute to a more conscious development and use of machine learning in public organizations.

  • EPA1424 Political Decision-Making
  • TPM019A Leadership for Engineers


Floris van Krimpen

PhD Candidate

Multi-Actor Systems

Organisation & Governance

Monday to Friday from 9 to 5

Research interests:
Machine learning supported decision-making
Institutional set-up of public organizations
Decision making on wicked problems
Trade-offs during Machine Learning development and use cycle
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