Learning from adaptation to develop loss and damage monitoring and evaluation systems [0.03%]
学习适应经验以开展损失和损害监测和评估系统建设的相关研究
Susannah Fisher,Lisa Vanhala
Susannah Fisher
Loss and damage is now firmly entrenched in global climate governance, yet there has been relatively little discussion around how to determine whether a loss and damage intervention is successful. We review the conceptual, methodological an...
Radical climate protests shaped portrayals of moderate activists and reader attitudes in German news media [0.03%]
德国新闻媒体中的激进气候抗议活动形塑了对温和派积极分子和读者态度的描绘
Lukas Mayrhofer,Simon Fassnacht,Markus Foramitti et al.
Lukas Mayrhofer et al.
Radical climate protests have been theorized to shape perceptions of moderate climate groups, a dynamic known as the radical flank effect (RFE). We examine this phenomenon through a longitudinal analysis of German media discourse on climate...
Mapping sexual and gender minority inclusion in national adaptation plans globally [0.03%]
全球国家适应计划中性少数群体包容性的 mapping
Sean Goodwin,Leo Goldsmith
Sean Goodwin
Sexual and gender minorities (SGM) experience disproportionate climate impacts, yet no empirical analysis exists on their inclusion in adaptation planning. We ask: (1) To what extent are SGM included in National Adaptation Plans (NAPs)? and...
Nicholas Simpson,Salma Sabour,Luckson Zvobgo et al.
Nicholas Simpson et al.
Getting heritage-relevant adaptation indicators right is critical for adapting heritage to climate change. We assess the Belém Adaptation Indicators adopted at COP30 under the UAE Framework for Global Climate Resilience to clarify strength...
AI for climate: from technological solutions to relational accountability [0.03%]
人工智能与气候：从技术方案到关联责任
Sharon Stein
Sharon Stein
Despite the promise of "AI-for-climate" to catalyze climate research and action, dominant approaches risk reproducing the same cultural patterns that have fueled ecological breakdown and its unevenly distributed harms. These patterns includ...
Exploring patterns of distributional justice in global climate change mitigation scenarios [0.03%]
探索全球气候变化缓解方案中分配公正的模式
Karl Scheifinger,Elina Brutschin,Kian Mintz-Woo et al.
Karl Scheifinger et al.
Collective climate action hinges on the distribution of benefits and burdens of climate change mitigation. Yet assumptions relevant to distributional justice are frequently made only implicitly in climate change mitigation scenarios. Here, ...
Generative AI for climate governance and acceptability-constrained policy design [0.03%]
生成式AI在气候治理和接受度约束下的政策设计中的应用
Ajaykumar Manivannan,Viktoria Spaiser,Tristan J B Cann et al.
Ajaykumar Manivannan et al.
Climate policies often fail when they clash with cultural values, social identities, and fairness perceptions. We propose Acceptability-Constrained Climate Policy Design (ACCPD), using large language models as "cultural world models" to sim...
Assessing claims of counterproductivity of Just Stop Oil's civil disobedience [0.03%]
评估“立即停止石油”组织的公民不服从行为的反效能 claim
Oscar Berglund,Colin J Davis,Samuel Finnerty
Oscar Berglund
A key development in the post-pandemic climate movement has been the rise of small-scale civil disobedience groups, who prioritise high-profile disruptions to gain media attention. The British group Just Stop Oil (JSO) have been one of the ...
Empirically assessing corporate adaptation and resilience disclosure using AI [0.03%]
利用人工智能实证评估企业适应性和韧性披露水平
Roberto Spacey Martín,Nicola Ranger,Tobias Schimanski et al.
Roberto Spacey Martín et al.
The extent to which firms are adapting and building resilience to environmental change is crucial information for financial institutions, regulators and governments. While corporates' physical climate risk exposure of their assets to enviro...
Systemic approaches for the protection of our oceans and marine environments [0.03%]
系统性海洋及海洋环境治理模式探究
Phoebe Koundouri,Ebun Akinsete,Tony Capon et al.
Phoebe Koundouri et al.
Protecting our oceans and advancing a sustainable blue economy require in-depth understanding of marine systems, driven by robust ocean observation, monitoring and valuation. Yet collecting reliable data remains time- and resource-intensive...