When does collaboration improve scientific discovery?
Scientific discovery involves generating hypotheses, choosing experiments, analysing results and checking conclusions. Teams of AI agents could combine complementary expertise and challenge each other’s reasoning—but they also introduce communication costs, duplicated effort and the risk of false consensus.
This workshop brings together researchers in multi-agent learning, human–AI collaboration and AI for Science to ask when agent teams deliver meaningful scientific gains. We will connect learning and coordination with shared memory, experimental design and rigorous evaluation under matched resource budgets.
Call for contributions
Bring an idea. Share your research.
We invite contributions on multi-agent AI for scientific discovery, including coordination, shared memory, human–AI collaboration, experimental design and evaluation. Choose the format that best fits what you want to discuss.
5-minute pitches
Call for Project Pitches
Ideas, open problems & collaboration
Share an early-stage or ongoing project, a concrete research question, or a promising direction that would benefit from community feedback. Completed results are not required.
What scientific problem are you tackling, and why might multiple agents help?
What is your proposed approach or main bottleneck?
What feedback, expertise or collaboration are you looking for?
Selected pitches will take place during the workshop: 4 minutes to present and 1 minute for a question.
Main ELLIS UnConference poster session
Call for Poster Presentations
Research contributions & in-depth discussion
Present research on methods, systems, benchmarks or scientific applications, with a concrete contribution to discuss. Posters provide space for detailed conversations about your approach, evidence and open questions.
Explain the research question, approach and key findings.
Highlight what multi-agent collaboration contributes.
Share limitations and questions for further discussion.
Workshop organizers will select posters for the main ELLIS UnConference poster session, outside our two-hour workshop.
The programme combines invited talks, short project pitches, a moderated panel and a closing discussion. Times below are minutes from the start of the session.
Tentative workshop schedule; elapsed minutes from session start
Minutes
Session
00–10
Opening
When does multi-agent collaboration improve discovery?
Yali Du · King’s College London
10–70
Invited talks
Learning, coordination and scientific evaluation
Samuel Kaski · Jun Wang · Zafeirios Fountas
Three 20-minute contributions, including brief questions. Speaker order and talk titles will be announced.
70–85
Project pitches
Ideas, open problems and opportunities to collaborate
Three selected projects · Five minutes each
Four minutes to present an ongoing idea, followed by one minute for a question. See the call for pitches.
85–115
Panel & audience Q&A
When does multi-agent collaboration improve scientific discovery?