PhD defence: Modelling for Policy is More Than Policy - Modelling The Useful Application of Agent-Based Modelling in Complex Policy Processes

Agent-Based Modelling (ABM) is a powerful tool that can help policymakers tackle complex issues, like climate, immigration, and sustainable agriculture. By simulating how individuals interact and behave, ABM provides insights into how policies might play out in the real world. However, despite its potential, ABM is not yet widely used in policy processes.

This thesis explores why this is the case and how ABM can be made more useful for policymakers. Through case studies and interviews with experts, the author identifies key challenges and develops a practical framework for integrating ABM into policy development. 

The thesis also highlights the importance of building strong relationships between researchers and policymakers to ensure that ABM is used effectively. By addressing these issues, the thesis aims to bridge the gap between theory and practice, making ABM a valuable tool for improving policy outcomes.

PLEASE NOTE: If a candidate gives a layman's talk, the livestream will start fifteen minutes earlier.