CGIAR AI Co-Scientist Framework

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dc.creatorGarcia Andarcia, Mariangel
dc.creatorGhosh, Surajit
dc.creatorSilva, Paulo
dc.creatorBerenguer, J.
dc.creatorMartins, Carolina Iglésias
dc.date2025-12-30
dc.date2026-02-06T06:13:18Z
dc.date2026-02-06T06:13:18Z
dc.date.accessioned2026-06-27T18:24:00Z
dc.descriptionThe AI Co-Scientist Framework is a comprehensive initiative aimed at integrating advanced artificial intelligence (AI) within CGIAR's research processes to enhance scientific capabilities. The framework aligns with CGIAR Strategy 2030 and addresses the complexity and scale of food, land, and water (FLW) systems research. It emphasizes the augmentation of human researchers through AI, supporting hypothesis generation, evidence synthesis, and scenario exploration. The framework establishes shared AI capabilities, robust governance, and a portfolio-based operating model. It includes a phased implementation roadmap from 2026 onward, focusing on foundational capabilities, expansion, and institutionalization. The framework aims to accelerate scientific discovery, improve research quality, and ensure responsible and ethical AI integration, ultimately contributing to CGIAR's mission of transforming FLW systems in a climate crisis.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/181257
dc.identifier.urihttp://hdl.handle.net/123456789/154617
dc.languageen
dc.publisherInternational Water Management Institute
dc.publisherCGIAR Accelerator for Digital Transformation
dc.rightsOpen Access
dc.sourceGarcia Andarcia, M.; Ghosh, S.; Silva, P.; Berenguer, J.; Martins, C. I. 2025. CGIAR AI Co-Scientist Framework. Colombo, Sri Lanka: International Water Management Institute (IWMI). CGIAR Accelerator for Digital Transformation. 24p.
dc.subjectartificial intelligence
dc.subjectframeworks
dc.subjectCGIAR
dc.subjectmodels
dc.subjectgovernance
dc.titleCGIAR AI Co-Scientist Framework
dc.typeReport

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Instituto Internacional para el Manejo del Agua (IWMI)