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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As AI reshapes development research, investing in data must be a key priority
Making models more robust and useful.
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Generative AI-powered voice technology in agricultural advisory services: Lessons from India
How developers built an app for smallholders.
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How natural language processing and AI can help policymakers address global food insecurity
Scaling up data analysis to meet SDG2.
Upcoming Webinars
Past Recordings
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October 2, 2025, 9:30 – 10:30 amMaking Sense of AI and Qualitative Research: Conversations on Meaning, Context, and Power
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September 18, 2025, 9:30 – 10:30 amFrom Principles to Practice: A Problem-Oriented Approach to AI Ethics in Food Systems
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July 10, 2025, 11:00 – 12:00 pmOrganizational Journeys in Human-Centered AI: Lessons from Practice in the Development Sector
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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