Machine learning map of climate policy literature reveals disparities between scientific attention, policy density, and emissions

Abstract Current climate mitigation policies are not sufficient to meet the Paris temperature target, and ramping up efforts will require rapid learning from the scientific literature on climate policies. This literature is vast and widely dispersed, as well as hard to define and categorise, hamperi...

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主要な著者:	Max Callaghan, Lucy Banisch, Niklas Doebbeling-Hildebrandt, Duncan Edmondson, Christian Flachsland, William F. Lamb, Sebastian Levi, Finn Müller-Hansen, Eduardo Posada, Shraddha Vasudevan, Jan C. Minx
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2025-02-01
シリーズ:	npj Climate Action
オンライン･アクセス:	https://doi.org/10.1038/s44168-024-00196-0
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