Climate action and the vantage point of imagined futures: a scenario-based conversation

Matthew Finch, Malka Older, Marie Mahon, David Robertson
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Abstract

This paper is a structured dialogue between its four authors on the question “How might future scenarios nourish our thinking about climate action?” A scenario set for the future of European regional inequality in the year 2048, developed by the Horizon Europe funded IMAJINE programme, is used as the prism for this conversation. Each author has a distinct disciplinary and professional background, and initially approaches the question from their own angle. These individual explorations encompass: the nature of climate change and our understanding of it in each IMAJINE scenario; questions of risk and responsibility now and in times to come; the use of scenarios to identify current blind spots and stimulate creative thinking; and the possibility that scenarios might offer fresh perspectives which allow us to reevaluate our notions of the sustainable “good life” and identify vulnerabilities which are overlooked in the present day. The second part of the paper comprises reflections on these individual contributions, with the authors pairing off so that two authors comment on the inputs by the other two, and vice versa. This exemplifies the polyphonic and discursive nature of scenarios, understood as “the art of strategic conversation”. The concluding comments reflect on the wider ability of readers, writers, and researchers to use scenario processes and structured conversations like those in this paper to sustain open spaces of mutual uncertainty, exploration, and generation.
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气候行动与想象未来的有利位置:基于情景的对话
本文是四位作者就 "未来情景如何促进我们对气候行动的思考?由欧洲地平线计划(Horizon Europe)资助的 IMAJINE 项目为 2048 年欧洲地区不平等的未来设定了一个情景,并将其作为对话的多棱镜。每位作者都有不同的学科和专业背景,最初都从各自的角度来探讨这个问题。这些个人探索包括:气候变化的性质以及我们在每个 IMAJINE 情景中对气候变化的理解;现在和未来时代的风险和责任问题;利用情景找出当前的盲点并激发创造性思维;情景可能提供新的视角,让我们重新评估可持续 "美好生活 "的概念,并找出当今被忽视的薄弱环节。论文的第二部分包括对这些个人贡献的反思,作者们结成对子,由两位作者对另两位作者的意见进行评论,反之亦然。这体现了情景设计的多声部和话语性质,被理解为 "战略对话的艺术"。最后的评论反映了读者、作者和研究人员更广泛的能力,即利用情景程序和结构化对话(如本文中的对话)来维持相互不确定性、探索和生成的开放空间。
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