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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Main Authors: CGIAR Accelerator on Digital Transformation, Jones-Garcia, Eliot, Martins, Carolina, Magalhaes, Marilia, Koo, Jawoo
Format: Informe técnico
Language:Inglés
Published: CGIAR System Organization 2025
Subjects:
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
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institution CGIAR Consortium
language Inglés
publishDate 2025
publishDateRange 2025
publishDateSort 2025
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publisherStr CGIAR System Organization
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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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