As the volume of scientific literature and data in food, land, and water systems continues to grow, researchers face increasing challenges in identifying relevant evidence, synthesizing insights, and translating them into actionable research questions. New AI tools are emerging to support this process—but what does this look like in practice?
This webinar features the Asta team from the Allen Institute for AI (Ai2), who will demonstrate an end-to-end AI workflow for research. The session will walk through how researchers can move from identifying relevant papers, to working with datasets, to generating hypotheses—highlighting how AI can support different stages of the research process.
The demonstration will include examples using open datasets, with a focus on agricultural use cases to illustrate how AI tools can support different research domains and enable comparison across them.
Following the demonstration, the session will open into a discussion on the implications of these tools for research practice—how they may change the way evidence is gathered, interpreted, and used within CGIAR and beyond.
Presentations and Live Demonstration
- Ruben Lozano Aguilera, Lead Technical Product Manager, Allen Institute for AI (Ai2)
- Bodhisattwa Majumder, Senior Research Scientist, Allen Institute for AI (Ai2)
Discussant
- Leroy Mwanzia, Head of Digital and Data, International Potato Center (CIP)
Moderator
- Eliot Jones-Garcia, Senior Research Analyst, IFPRI; PhD Candidate, Wageningen University