反思数字化与气候:不要预测,要减缓

Daria Gritsenko, Jon Aaen, Bent Flyvbjerg
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引用次数: 0

摘要

数字化是绿色转型的核心组成部分。如今的重点是通过各种生命周期评估和基线情景方法来量化和预测数字化对气候的影响。在此,我们认为这是一个错误。大多数预测尝试都基于三个隐含的假设:(a)数字化碳足迹可以量化;(b)一切照旧,偶发变化将导致新的稳定时代;(c)数字化投资将在其商业案例中描述的成本、时间框架和效益范围内实现。我们对数字化背景下的每个假设都提出了质疑,并认为数字碳足迹本质上是不可预测的。我们以不确定性文献为基础,说明即使无法预测,也可以减轻影响。在此基础上,我们建议重新思考从预测到缓解的数字碳足迹实践。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Rethinking digitalization and climate: don’t predict, mitigate

Rethinking digitalization and climate: don’t predict, mitigate
Digitalization is a core component of the green transition. Today’s focus is on quantifying and predicting the climate effects of digitalization through various life-cycle assessments and baseline scenario methodologies. Here we argue that this is a mistake. Most attempts at prediction are based on three implicit assumptions: (a) the digital carbon footprint can be quantified, (b) business-as-usual with episodic change leading to a new era of stability, and (c) investments in digitalization will be delivered within the cost, timeframe, and benefits described in their business cases. We problematize each assumption within the context of digitalization and argue that the digital carbon footprint is inherently unpredictable. We build on uncertainty literature to show that even if you cannot predict, you can still mitigate. On that basis, we propose to rethink practice on the digital carbon footprint from prediction to mitigation.
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