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Lee_et_al_2021_Machine_learning_paper_top_0.pdf

🔗 Source: ueaeprints.uea.ac.uk

📊 Size: 424 KB

📄 Pages: 26 pages

⬇️ Downloads: 37

Summary

The Independent Evaluation Unit (IEU) of the Green Climate Fund (GCF) conducted a scoping study on the potential applications of machine learning in evaluating climate interventions. The study reviews current machine learning applications in climate impact evaluation and evidence reviews, and explores possible applications within the GCF and IEU. The IEU's work focuses on providing objective assessments of the GCF's results, including its funded activities, effectiveness, and efficiency, through evaluation, learning and communication, advisory and capacity support, and engagement. The study is part of the IEU's Working Paper series, which aims to promote discussion and contribute to global climate change discussions.

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Description

The Independent Evaluation Unit (IEU) of the Green Climate Fund (GCF) conducted a scoping study on the potential applications of machine learning in evaluating...

Technical Information

File Format: PDF
File Size: 424 KB
Pages: 26
Language: EN
Total Downloads: 37
Last Updated: 2 weeks ago

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