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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 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 (2024-11-21). "Review of relevance of the OECD Recommendation on ICTs and the Environment". OECD Digital Economy Papers. doi:10.1787/216766c6-en.
  2. "What Is 'Dark Data'? And What Does It Mean For The Environment?". World Economic Forum. Archived from the original on 2026-04-17. Retrieved 2026-08-08.
  3. Abdulghani, Tamer; Winkler, Herwig (2025-01-01). "Transition Towards a Green Future: Upgrading a Digital Decarbonization Maturity Model". Procedia Computer Science. 6th International Conference on Industry 4.0 and Smart Manufacturing. 253: 1303–1312. doi:10.1016/j.procs.2025.01.192. ISSN 1877-0509.
  4. "Physical Estate & Operations". www.falmouth.ac.uk. 2026-08-17. Retrieved 2026-08-08.
  5. "Digital decarbonisation: What is it and why does it matter?". Loughborough University. 2022-10-04. Retrieved 2026-08-08.