Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/130315
Title: Agent-based modeling to integrate elements from different disciplines for ambitious climate policy
Authors: Savin, I.
Creutzig, F.
Filatova, T.
Foramitti, J.
Konc, T.
Niamir, L.
Safarzynska, K.
van, den, Bergh, J.
Issue Date: 2023
Publisher: John Wiley and Sons Inc
Citation: Savin, I, Creutzig, F, Filatova, T, Foramitti, J, Konc, T, Niamir, L, Safarzynska, K & Van den bergh, J 2023, 'Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy', Wiley Interdisciplinary Reviews: Climate Change, Том. 14, № 2, e811. https://doi.org/10.1002/wcc.811
Savin, I., Creutzig, F., Filatova, T., Foramitti, J., Konc, T., Niamir, L., Safarzynska, K., & Van den bergh, J. (2023). Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy. Wiley Interdisciplinary Reviews: Climate Change, 14(2), [e811]. https://doi.org/10.1002/wcc.811
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. © 2022 The Authors. WIREs Climate Change published by Wiley Periodicals LLC.
Keywords: AGENT-BASED MODELLING
CLIMATE CHANGE
POLICY ACCEPTABILITY
POLICY INTEGRATION
POLICY STRINGENCY
AUTONOMOUS AGENTS
CLIMATE MODELS
COMPUTATIONAL METHODS
PUBLIC POLICY
RENEWABLE ENERGY RESOURCES
SIMULATION PLATFORM
AGENT-BASED MODEL
CLIMATE MITIGATIONS
CLIMATE POLICY
COMMON PLATFORM
MITIGATION POLICIES
POLICIES INTEGRATIONS
POLICY ACCEPTABILITY
POLICY OUTCOMES
POLICY STRINGENCY
PUBLIC SUPPORT
CLIMATE CHANGE
CLIMATE CHANGE
CLIMATE MODELING
ENVIRONMENTAL POLICY
GOVERNANCE APPROACH
INTEGRATED APPROACH
KNOWLEDGE BASED SYSTEM
URI: http://elar.urfu.ru/handle/10995/130315
Access: info:eu-repo/semantics/openAccess
cc-by-nc-nd
License text: https://creativecommons.org/licenses/by-nc-nd/4.0/
SCOPUS ID: 85142889819
WOS ID: 000891165000001
PURE ID: 36036138
ISSN: 1757-7780
DOI: 10.1002/wcc.811
metadata.dc.description.sponsorship: Horizon 2020 Framework Programme, H2020: 741087, 758014; H2020 European Research Council, ERC; European Research Council, ERC
H2020 European Research Council, Grant/Award Numbers: 741087, 758014
Ivan Savin, Joël Foramitti, Théo Konc and Jeroen van den Bergh acknowledge financial support by ERC project EVOCLIM, Grant 741087; Tatiana Filatova acknowledges financial support by ERC Project SCALAR, Grant agreement No. 758014.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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