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.
Please join our LinkedIn community to follow new posts and share your ideas.
Latest Blogs
-
AI in qualitative research: Using large language models to code survey responses in native languages
Testing new tools that offer rapid analysis.
-
The role of explainability in AI for agriculture: Making digital systems easier to understand for farmers
Centering user needs in precision livestock monitoring.
-
Beyond the hype: Centering humans in CGIAR’s genAI research
Realizing the potential and minimizing the risks of a promising new technology.
-
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
-
March 5, 2026, 9:30 – 10:30 amTwo Sides of the Data Governance Coin: AI Innovation and Regulation for Producers and Users
-
-
January 29, 2026, 9:30 – 10:30 amFrom Foundations to Field: Lessons from Microsoft and Reply’s Work in Agriculture
-
November 20, 2025, 9:30 – 10:30 amAI and Remote Sensing for Agricultural Insights: From Satellite Imagery to Decision Support
-
November 6, 2025, 9:30 – 10:30 amBenchmarking LLMs for Agricultural Advisory: Insights from a Global Community of Practice
-
October 23, 2025, 9:00 – 10:00 amLaunching the Ethical AI Methods Toolkit: Reflections from Research and Practice
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








