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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AI in qualitative research: Using large language models to code survey responses in native languages
Testing new tools that offer rapid analysis.
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The role of explainability in AI for agriculture: Making digital systems easier to understand for farmers
Centering user needs in precision livestock monitoring.
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Beyond the hype: Centering humans in CGIAR’s genAI research
Realizing the potential and minimizing the risks of a promising new technology.
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Trust the messenger? The role of AI transparency in policy research communication
Testing reader responses to chatbot- vs. human-written blog posts.
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