基于Agent的建模,整合不同学科的元素,制定雄心勃勃的气候政策

IF 9.4 1区 环境科学与生态学 Q1 ENVIRONMENTAL STUDIES
I. Savin, F. Creutzig, T. Filatova, Joël Foramitti, T. Konc, Leila Niamir, Karolina Safarzynska, J. C. van den Bergh
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引用次数: 8

摘要

雄心勃勃的气候减缓政策面临社会和政治阻力。一个原因是,现有政策未能充分捕捉到社会科学对潜在政策结果的各种相关见解。我们认为基于智能体的模型可以作为整合不同学科元素的强大工具。有了这样一个共同的平台,就可以在有效性、公平性和公众支持等标准方面对气候政策进行更全面的评估。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

Agent‐based modeling to integrate elements from different disciplines for ambitious climate policy
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.
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来源期刊
Wiley Interdisciplinary Reviews: Climate Change
Wiley Interdisciplinary Reviews: Climate Change METEOROLOGY & ATMOSPHERIC SCIENCES-
CiteScore
20.00
自引率
2.20%
发文量
58
审稿时长
>12 weeks
期刊介绍: WIREs Climate Change serves as a distinctive platform for delving into current and emerging knowledge across various disciplines contributing to the understanding of climate change. This includes environmental history, humanities, physical and life sciences, social sciences, engineering, and economics. Developed in association with the Royal Meteorological Society and the Royal Geographical Society (with IBG) in the UK, this publication acts as an encyclopedic reference for climate change scholarship and research, offering a forum to explore diverse perspectives on how climate change is comprehended, analyzed, and contested globally.
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