AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity
Artificial intelligence is reshaping scientific research, yet most institutions struggle to translate this potential into concrete value. The challenge is not technical; it stems from missing incentives, misaligned workflows and work culture, emotional and institutional frictions, etc. CGIAR faces s...
| Autores principales: | , , , |
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| Formato: | Brief |
| Lenguaje: | Inglés |
| Publicado: |
CGIAR System Organization
2025
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| Acceso en línea: | https://hdl.handle.net/10568/178763 |
| _version_ | 1855529808891478016 |
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| author | Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo |
| author_browse | Jones-Garcia, Eliot Koo, Jawoo Magalhaes, Marilia Martins, Carolina |
| author_facet | Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo |
| author_sort | Jones-Garcia, Eliot |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Artificial intelligence is reshaping scientific research, yet most institutions struggle to translate this potential into concrete value. The challenge is not technical; it stems from missing incentives, misaligned workflows and work culture, emotional and institutional frictions, etc. CGIAR faces similar dynamics: high expectations for AI, but uneven adoption and capacity across Centers, with limited alignment across the System. At the same time, CGIAR holds key advantages over other global research players. Decades of science, vast geospatial footprints and datasets, strong partnerships with governments and national partners, and a public-good mandate position CGIAR as a global leader in AI for food systems. With targeted investment, CGIAR can translate this advantage into acceleration of science, stronger country delivery, and new digital public goods that shape global food policy and innovation. |
| format | Brief |
| id | CGSpace178763 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | CGIAR System Organization |
| publisherStr | CGIAR System Organization |
| record_format | dspace |
| spelling | CGSpace1787632025-12-12T02:10:01Z AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo artificial intelligence digital technology investment Artificial intelligence is reshaping scientific research, yet most institutions struggle to translate this potential into concrete value. The challenge is not technical; it stems from missing incentives, misaligned workflows and work culture, emotional and institutional frictions, etc. CGIAR faces similar dynamics: high expectations for AI, but uneven adoption and capacity across Centers, with limited alignment across the System. At the same time, CGIAR holds key advantages over other global research players. Decades of science, vast geospatial footprints and datasets, strong partnerships with governments and national partners, and a public-good mandate position CGIAR as a global leader in AI for food systems. With targeted investment, CGIAR can translate this advantage into acceleration of science, stronger country delivery, and new digital public goods that shape global food policy and innovation. 2025-12-11 2025-12-11T21:03:56Z 2025-12-11T21:03:56Z Brief https://hdl.handle.net/10568/178763 en Open Access application/pdf CGIAR System Organization Jones-Garcia, Eliot; Martins, Carolina; Magalhaes, Marilia; and Koo, Jawoo. 2025. AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity. Executive Brief for Funders and CGIAR Leadership. CGIAR System Organization. https://hdl.handle.net/10568/178763 |
| spellingShingle | artificial intelligence digital technology investment Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title | AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title_full | AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title_fullStr | AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title_full_unstemmed | AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title_short | AI for food systems transformation: CGIAR’s readiness, momentum, and investment opportunity |
| title_sort | ai for food systems transformation cgiar s readiness momentum and investment opportunity |
| topic | artificial intelligence digital technology investment |
| url | https://hdl.handle.net/10568/178763 |
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