Agent-based modeling to integrate elements from different disciplines for ambitious climate policy
Ivan Savin (Universitat Autònoma de Barcelona, Ural Federal University)
Felix Creutzig (Mercator Research Institute on Global Commons and Climate Change, Technical University of Berlin)
Tatiana Filatova (TU Delft - Policy Analysis, TU Delft - Multi Actor Systems)
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 (International Institute for Applied Systems Analysis, Mercator Research Institute on Global Commons and Climate Change)
Karolina Safarzynska (University of Warsaw)
Jeroen van den Bergh (Vrije Universiteit Amsterdam, Catalan Institution for Research and Advanced Studies (ICREA), Universitat Autònoma de Barcelona)
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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.
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