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Research & Design for Scientific AI User Experiences
Science is a team effort. AI should work that way too.
Science is a team effort. AI should work that way too.
Members of the User Experience (UX) team in Berkeley Lab's Scientific Data Division (SciData) are conducting UX Research & Design to improve AI experiences in team science.
We study how researchers and the people who support them use agentic AI—where it helps, where it gets in the way, and what it takes to work well across a team. We’re turning those insights into design principles and tools for building better AI systems for science.
What we’re learning
What we’re learning
Our research looks at AI in scientific data facilities, researchers’ experiences with the BERIL Co-Scientist, and how teams use AI together.
Work with us
Work with us
Building AI for scientific work? We’re interested in connecting with researchers, designers, and developers who are tackling the human side of agentic AI.
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