Policy Making in Energy Transition with Agent-based Modelling

Research output: Contribution to conferenceAbstractAcademic


This paper discusses the increasing trend of the use of ABM in energy transi-tion research. I specifically focus on how and within what limitations ABM studies inform policy makers about planning and policy development in en-ergy transition processes. Two recurring discussion points in the literature of policy making with ABM are generalizability of results and the participation of stakeholders in model development. The lack of a consensus on theoreti-cal foundations and empirical validity of ABM models prevent further adop-tion of this methodology in policy realms, which is counter balanced by in-creasing computing power and the use of big data in calibration and valida-tion of models as exemplified in Covid-19 crisis. How does the inclusion of social and behavioral factors in models help with more productive policy making? Is there a trade-off between the scale and robustness of a model for policy recommendation? What is the role of interdisciplinary collaboration within ABM in effective policy design? These are the questions to be tackled in this paper.
Original languageEnglish
Publication statusUnpublished - 2022
Event34th Annual Conference of the European Association for Evolutionary Political Economy - School of Economics and Law, University of Naples Federico II, Naples, Italy
Duration: 7 Sept 20229 Sept 2022
Conference number: 34


Conference34th Annual Conference of the European Association for Evolutionary Political Economy
Abbreviated titleEAEPE
Internet address


  • Agent-based modeling, energy transition, policy making


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