Agent-based modeling to integrate elements from different disciplines for ambitious climate policy
Ivan Savin (Universitat Autònoma de Barcelona, Ural Federal University)
Felix Creutzig (Technical University of Berlin, Mercator Research Institute on Global Commons and Climate Change)
Tatiana Filatova (TU Delft - Technology, Policy and Management, TU Delft - Technology, Policy and Management)
Joël Foramitti (Universitat Autònoma de Barcelona, Vrije Universiteit Amsterdam)
Théo Konc (Potsdam-Institut für Klimafolgenforschung, Technical University of Berlin, Universitat Autònoma de Barcelona)
Leila Niamir (Mercator Research Institute on Global Commons and Climate Change, International Institute for Applied Systems Analysis)
Karolina Safarzynska (University of Warsaw)
Jeroen van den Bergh (Catalan Institution for Research and Advanced Studies (ICREA), Universitat Autònoma de Barcelona, Vrije Universiteit Amsterdam)
More Info
expand_more
Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.
Abstract
Ambitious climate mitigation policies face social and political resistance. One reason is that existing policies insufficiently capture the diversity of relevant insights from the social sciences about potential policy outcomes. We argue that agent-based models can serve as a powerful tool for integration of elements from different disciplines. Having such a common platform will enable a more complete assessment of climate policies, in terms of criteria like effectiveness, equity and public support. This article is categorized under: Climate Models and Modeling > Knowledge Generation with Models The Carbon Economy and Climate Mitigation > Policies, Instruments, Lifestyles, Behavior Policy and Governance > Multilevel and Transnational Climate Change Governance.
help_outline