Agent-based modeling to integrate elements from different disciplines for ambitious climate policy

Ivan Savin*, Felix Creutzig, Tatiana Filatova, Joël Foramitti, Théo Konc, Leila Niamir, Karolina Safarzynska, Jeroen van den Bergh

*Corresponding author for this work

Research output: Contribution to journalArticleScientificpeer-review

16 Citations (Scopus)
114 Downloads (Pure)

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.
Original languageEnglish
Article numbere811
JournalWiley Interdisciplinary Reviews: Climate Change
Volume14
Issue number2
DOIs
Publication statusAccepted/In press - 2022

Keywords

  • agent-based modelling
  • climate change
  • policy acceptability
  • policy integration
  • policy stringency

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