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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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/178763 |
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