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Rethinking digitalization and climate: don’t predict, mitigate

  • Daria Gritsenko
    ,
  • Jon Aaen
    ,
  • Bent Flyvbjerg
Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Open access

Publication Information

Output type

Research Output:
Journal Article or Conference Article in Journal
Journal article
Peer-review

Original language

English

Article number

43

Journal (Volume, Issue Number)

npj Climate Action (Volume 3)

Publication milestones

  • Published - 07/06/2024

Publication status

Published - 07/06/2024

ISSN

2731-9814

Abstract

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.