Modelling for Policy is More Than Policy Modelling: The Useful Application of Agent-Based Modelling in Complex Policy Processes
Publication date
2025-06-23
Authors
Melchior, Alexander
Editors
Advisors
Supervisors
Dignum, Frank
Yolum, Pınar
Document Type
Dissertation
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Abstract
In this thesis, the potential of Agent-Based Modelling (ABM) to improve policy development is thoroughly examined. The study delves into the intricacies of fostering collaboration between ABM practitioners and policy developers, identifying key challenges and proposing strategic solutions. With a focus on real-world applications, this work aims to equip researchers and policy developers with the tools and understanding needed to leverage ABM effectively in tackling pressing policy issues such as climate change, economic inequality, and healthcare.
Keywords
Agent-Based Modelling, Beleidsontwikkeling, Modelleren, Modellen, Beleidsprocessen, Beleid Maken, Beleidsontwikkelaars, Interactief Modelleren, Agent-Based Modelling, Policy Development, Modelling, Models, Policy Processes, Policy Making, Policy Developers, Participatory Modelling, SDG 10 - Reduced Inequalities, SDG 13 - Climate Action
Citation
Melchior, A 2025, 'Modelling for Policy is More Than Policy Modelling : The Useful Application of Agent-Based Modelling in Complex Policy Processes', Doctor of Philosophy, Universiteit Utrecht, Utrecht. https://doi.org/10.33540/2969