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The PhD position is a collaboration between Utrecht ľ�ϸ���Ӱ�� and different inspectorates, e.g. Human Environment and Transport Inspectorate (ILT), Inspectorate of Education (IvhO). These inspectorates supervise compliance with laws and regulations based on their developed inspection policies and available resources, particularly the availability of sufficient inspectors. Additionally, given the difficulty of testing these methods outside a lab setting, there is space for a variety of lab instruments that can test possible inspection policies. 

We aim to develop an agent-based simulation platform to evaluate the effect of implementing inspection policies on a large number of inspectees. A key component of this tool will involve generating synthetic populations modelled on real, publicly available data of inspectees. Further, we will develop mechanisms to monitor the behaviour of inspectees in the simulation and enforce regulations. These mechanisms will then be integrated into the simulation platform so that the behaviour of the synthetic population can be monitored and controlled.

Hence, the main question we seek to address is “What would be the effect of implementing a given policy in a certain area?”

We will provide a tool that aids the design and testing of inspection strategies. We want to empower inspectorates to implement successful policies with less need for field experimentation and with fewer trial and error phases.

Researcher

Ira Adiprasito (Department of Information and computing sciences)

Academic supervisors

• Prof. dr. Mehdi Dastani, Department of Information and computing sciences
• Dr. Roxana Rădulescu, Department of Information and computing sciences

Grant funding agency and (co-)funding non-academic partners

Human Environment and Transport Inspectorate (ILT)