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Rethinking digitalization and climate: don’t predict, mitigate
by
Aaen, Jon
, Flyvbjerg, Bent
, Gritsenko, Daria
in
Carbon
/ Carbon footprint
/ Climate effects
/ Climate prediction
/ Digital technology
/ Digitization
/ Efficiency
/ Energy consumption
/ Footprint analysis
/ Infrastructure
/ Life cycle analysis
2024
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Rethinking digitalization and climate: don’t predict, mitigate
by
Aaen, Jon
, Flyvbjerg, Bent
, Gritsenko, Daria
in
Carbon
/ Carbon footprint
/ Climate effects
/ Climate prediction
/ Digital technology
/ Digitization
/ Efficiency
/ Energy consumption
/ Footprint analysis
/ Infrastructure
/ Life cycle analysis
2024
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Do you wish to request the book?
Rethinking digitalization and climate: don’t predict, mitigate
by
Aaen, Jon
, Flyvbjerg, Bent
, Gritsenko, Daria
in
Carbon
/ Carbon footprint
/ Climate effects
/ Climate prediction
/ Digital technology
/ Digitization
/ Efficiency
/ Energy consumption
/ Footprint analysis
/ Infrastructure
/ Life cycle analysis
2024
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Rethinking digitalization and climate: don’t predict, mitigate
Journal Article
Rethinking digitalization and climate: don’t predict, mitigate
2024
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Overview
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.
Publisher
Springer Nature B.V
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