AI for Food-Land-Water Systems: CGIAR Workshop
AI offers powerful opportunities to tackle agriculture’s challenges—climate change, resource scarcity, and population growth—by improving decision-making and strengthening Food, Land, and Water (FLW) systems. To advance responsible integration, IWMI, CGIAR Centers, and partners will host a workshop, Accelerating Food-Land-Water Systems Research in CGIAR through Responsible AI Integration (24–26 September 2025).
About the Workshop
This three-day event will bring together researchers and practitioners to:
- Review CGIAR’s AI landscape
- Explore opportunities for responsible innovation
- Co-develop a shared roadmap for scaling AI adoption
- Engage with the AI Co-Scientist initiative, fostering ethical, inclusive, and impactful use of AI
Background
CGIAR has steadily integrated digital technologies and AI, from the Big Data Platform (2017) to today’s Digital Transformation Accelerator. Applications such as crop monitoring, disease detection, and yield forecasting have shown AI’s value, but challenges remain limited infrastructure, fragmented data, and uneven skills. CGIAR aims to raise institutional readiness, build consistent AI capacity, and deepen responsible integration through initiatives like the AI Co-Scientist—a digital assistant that collaborates with researchers and accelerates innovation.
Objectives
- Build shared understanding of AI in CGIAR research
- Assess AI maturity and readiness across centers
- Explore applied use cases and innovations
- Introduce the AI Co-Scientist
- Co-create a roadmap for inclusive, responsible AI
Who Should Attend
Researchers, practitioners, and designers from agriculture, water, ecology, economics, sociology, media, and more. Special emphasis on engaging women and youth to ensure diverse, inclusive perspectives.
How to Prepare
Reflect on AI use in your work or related fields—tools, practices, projects, or challenges. Share insights before and during the workshop to inform the current-state assessment and guide the vision for scaling AI in CGIAR.
Key questions to consider:
- Where have you seen AI applied in research?
- What opportunities could AI bring to CGIAR’s impact?
- What barriers (data, infrastructure, skills, ethics) need addressing?
- How could the AI Co-Scientist support your work?
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A few examples of relevant contributions could include:Â
- Accelerating scientific breakthroughs with an AI co-scientistÂ
-Â Ethics of Artificial Intelligence | UNESCO