Blog and Webinar Series: AI For Food Systems Research
This is a special series from the IFPRI-led initiative AI For Food Systems Research focusing on artificial intelligence (AI) in research practice. Amid the growing use of AI in agricultural research, policy, and extension, this project brings together researchers and practitioners across CGIAR and its partners to explore how AI tools can be designed, applied, and governed responsibly in food systems research and innovation. The series is led by Eliot Jones-Garcia, IFPRI Senior Research Analyst, and co-curated by Jessica Leight, IFPRI Senior Research Fellow, and Jona Repishti, Assistant Director, Global Gender, Digital Green.
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Latest Blogs
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How can artificial intelligence-powered chatbots help policymakers? A roadmap for Kenya
Integrating AI into the policy process.
Upcoming Webinars
Past Recordings
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June 4, 2026, 9:30 – 10:30 amAI Workflows for Food Systems Research: A Demonstration of AutoDiscovery with the Ai2 Asta Team
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May 14, 2026, 9:00 – 10:00 amWhen Data Is Everywhere: Digital Research Methods Transforming Food Systems Science
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May 4, 2026, 9:30 – 10:30 amLeveraging Automatic Speech Recognition and Farmer-Generated Data for Insight, Inclusion, and Impact
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April 9, 2026, 9:30 – 10:30 amBreaking the Silence: Deploying Automatic Speech Recognition for Agricultural Advisory
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March 26, 2026, 9:30 – 10:30 amFarmer-Centric AI for Livestock Systems: Design, Explainability, and Responsible Innovation
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March 12, 2026, 9:00 – 10:00 amLarge Language Models for Policy Makers: Exploring RIAPA-AI and PEPA-AI
CGIAR Blogs

July 29, 2026
In the AI era, agricultural research needs better questions, not more tools
By Eliot Jones-Garcia


May 27, 2026
AI won’t transform agricultural research on its own. Institutions must
By Eliot Jones-Garcia




