CGIAR AI Hub Webinar Series - Episode 1: Embedding Science in Product Design without Losing the User
Why It Matters
Embedding science into user-driven AI products promises faster, scalable uptake of research in agriculture and water management; the AI for Water digital twin aims to strengthen transboundary water planning and climate resilience. Success could accelerate evidence-based decision-making and set a precedent for cross-border data sharing and policy-ready AI tools.
Summary
CGIAR AI Hub launched the first episode of its 'Groundgrown by AI Design' webinar series, advocating human-centered product development to translate agricultural science into market-ready AI tools. Host Lena Yasin outlined five hub products—Agrim (an open-source agricultural language), Genebank AI, AI for Water, Livestock AI and Policy AI—emphasizing product-led delivery and co-design with end users. Guest speakers from the UAE presidential court and partner organizations described the AI for Water initiative, which augments existing hydrological models with AI and a digital twin for the transboundary Limpopo River basin to improve forecasting and scenario testing. The project is positioned as a model for international cooperation ahead of the UAE–Senegal co-hosted 2026 UN Water Conference.
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