ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub)

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dc.creatorMuller, Lolita
dc.creatorJoshi, Namita
dc.creatorSteward, Peter Richard
dc.creatorRosenstock, Todd Stuart
dc.date2025-10-10
dc.date2026-01-19T16:22:55Z
dc.date2026-01-19T16:22:55Z
dc.date.accessioned2026-06-27T13:26:35Z
dc.descriptionThis repository, developed under the CGIAR Sustainable Farming Program (SFP), establishes an AI-assisted workflow for evidence synthesis and meta-analysis in agriculture. The workflow automates labor-intensive stages of systematic review, including search term generation, screening, tagging, keyword extraction, classification, and harmonization, while preserving methodological rigor. Outputs are systematically benchmarked against expert manual reviews to quantify accuracy and relevance, providing clear guidance on where automation excels and where human oversight remains essential. Accompanying R scripts and analytical reports ensure transparent, reproducible methods through public vignettes and generate shareable, machine-readable artifacts for downstream use. By accelerating the mechanical components of evidence synthesis, this workflow enables researchers to concentrate on interpretation, uncertainty quantification, and domain-specific questions, offering a replicable pathway to scale literature reviews and deliver decision-ready evidence. This work has been supported by the CGIAR Climate Action Lever and represents a collaboration between the Alliance of Bioversity International and CIAT.
dc.identifierhttps://hdl.handle.net/10568/180144
dc.identifier.urihttp://hdl.handle.net/123456789/59536
dc.languageen
dc.rightsOpen Access
dc.sourceMuller, L.; Joshi, N.; Steward, P.R.; Rosenstock, T.S. (2025) ERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub). https://github.com/ERAgriculture/AI-Powered-Meta-Analysis-Automation
dc.subjectagriculture
dc.subjectagricultura
dc.subjectartificial intelligence
dc.subjectinteligencia artificial
dc.subjectmeta-analysis
dc.subjectlarge language models-llms
dc.subjectmetaanálisis
dc.titleERA evidence synthesis & meta-analysis automation (ERAgriculture/AI-Powered-Meta-Analysis-Automation R-code GitHub)
dc.typeSoftware

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