CGIAR AI landscape 2025: Needs, opportunities, and next steps
Transforming food, land, and water systems (FLWS) in a climate crisis requires scientific collaboration at a scale and speed that traditional research infrastructures can no longer support. CGIAR’s 2030 Research and Innovation Strategy recognizes this urgency and positions the digital revolution as...
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| Format: | Informe técnico |
| Language: | Inglés |
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CGIAR System Organization
2025
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| Online Access: | https://hdl.handle.net/10568/178766 |
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| author | CGIAR Accelerator on Digital Transformation Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo |
| author_browse | CGIAR Accelerator on Digital Transformation Jones-Garcia, Eliot Koo, Jawoo Magalhaes, Marilia Martins, Carolina |
| author_facet | CGIAR Accelerator on Digital Transformation Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo |
| author_sort | CGIAR Accelerator on Digital Transformation |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | Transforming food, land, and water systems (FLWS) in a climate crisis requires scientific collaboration at a scale and speed that traditional research infrastructures can no longer support. CGIAR’s 2030 Research and Innovation Strategy recognizes this urgency and positions the digital revolution as a core enabler of systemwide change. The Digital Transformation Accelerator (DTA) is committed to operationalizing this vision: reducing fragmentation, enabling cross-Center collaboration, and providing the connective tissue that links CGIAR’s science with workflows that are interdisciplinary, scalable, and impact-ready. Key focus areas are shown in box 1. |
| format | Informe técnico |
| id | CGSpace178766 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | CGIAR System Organization |
| publisherStr | CGIAR System Organization |
| record_format | dspace |
| spelling | CGSpace1787662025-12-12T02:10:35Z CGIAR AI landscape 2025: Needs, opportunities, and next steps CGIAR Accelerator on Digital Transformation Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo digital technology artificial intelligence Transforming food, land, and water systems (FLWS) in a climate crisis requires scientific collaboration at a scale and speed that traditional research infrastructures can no longer support. CGIAR’s 2030 Research and Innovation Strategy recognizes this urgency and positions the digital revolution as a core enabler of systemwide change. The Digital Transformation Accelerator (DTA) is committed to operationalizing this vision: reducing fragmentation, enabling cross-Center collaboration, and providing the connective tissue that links CGIAR’s science with workflows that are interdisciplinary, scalable, and impact-ready. Key focus areas are shown in box 1. 2025-12-11 2025-12-11T21:08:48Z 2025-12-11T21:08:48Z Report https://hdl.handle.net/10568/178766 en Open Access application/pdf CGIAR System Organization CGIAR Accelerator on Digital Transformation. 2025. CGIAR AI landscape 2025: Needs, opportunities, and next steps. Digital Transformation Report. CGIAR System Organization. https://hdl.handle.net/10568/178766 |
| spellingShingle | digital technology artificial intelligence CGIAR Accelerator on Digital Transformation Jones-Garcia, Eliot Martins, Carolina Magalhaes, Marilia Koo, Jawoo CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title | CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title_full | CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title_fullStr | CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title_full_unstemmed | CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title_short | CGIAR AI landscape 2025: Needs, opportunities, and next steps |
| title_sort | cgiar ai landscape 2025 needs opportunities and next steps |
| topic | digital technology artificial intelligence |
| url | https://hdl.handle.net/10568/178766 |
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