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Draft:Digital decarbonisation

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  • Comment: Please rewrite from scratch without the use of LLMs. Helpful Raccoon (talk) 05:17, 4 June 2026 (UTC)

Digital Decarbonization

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Digital decarbonization is an approach to reducing the environmental impact of digital technologies, data practices and supporting infrastructure. It is used to describe efforts to measure and reduce emissions associated with data storage, transmission, processing, and the operation of digital systems, including cloud services, artificial intelligence (AI) and data centres.[1]

The World Economic Forum has stated that experts at Loughborough University coined the term “digital decarbonization” to describe efforts to reduce the carbon footprint of digital activity. [2] The term has also appeared in wider academic and institutional contexts, including maturity-model research and university sustainability strategy.[3] [4] [5]

References

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  1. ^ OECD, "Review of Relevance of the OECD Recommendation on ICTs and the Environment", OECD Digital Economy Papers, No. 370, 2024. https://www.oecd.org/en/publications/review-of-relevance-of-the-oecd-recommendation-on-icts-and-the-environment_216766c6-en.html
  2. ^ World Economic Forum, "What Is 'Dark Data'? And What Does It Mean for the Environment?", https://www.weforum.org/videos/what-is-dark-data-and-what-does-it-mean-for-the-environment/
  3. ^ Abdulghani, T. and Winkler, H. "Transition Towards a Green Future: Upgrading a Digital Decarbonization Maturity Model", Procedia Computer Science, 253, 2025, pp. 1303–1312. https://doi.org/10.1016/j.procs.2025.01.192
  4. ^ Falmouth University. "Physical Estate & Operations". https://www.falmouth.ac.uk/sustainability/environment-operations
  5. ^ Loughborough University. "Digital decarbonisation: What is it and why does it matter?". https://www.lboro.ac.uk/media-centre/press-releases/2022/october/digital-decarbonisation/