AI-Powered Meta-Analysis Automation
Citation
Muller, L.; Joshi, N.; Steward, P.R.; Rosenstock, T.S. (2025) AI-Powered Meta-Analysis Automation. https://doi.org/10.5281/zenodo.17348596
Abstract/Description
AI-Powered Meta-Analysis Automation accelerates evidence synthesis in agriculture by automating the repetitive stages of a review while preserving methodological rigor. The workflow covers: search-term generation, LLM-assisted screening, tagging, keyword extraction, classification, and harmonization. Outputs are systematically compared with expert manual reviews to quantify quality and relevance, clarifying where automation performs well and where caution is warranted.
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Author ORCID identifiers
Lolita Muller https://orcid.org/0009-0002-8345-7219
Namita Joshi https://orcid.org/0009-0006-1473-7718
Peter Steward https://orcid.org/0000-0003-3985-4911
Todd Rosenstock https://orcid.org/0000-0002-1958-9500
Namita Joshi https://orcid.org/0009-0006-1473-7718
Peter Steward https://orcid.org/0000-0003-3985-4911
Todd Rosenstock https://orcid.org/0000-0002-1958-9500
Contributes to SDGs
CGIAR Programs and Accelerators
Type
Review Status
Internal Review
Language
en
Subjects
Access Rights
Open Access
Usage Rights
