Create Events “hackathon-multi-agent-systems-for-scientific-research”

Author: bp374

_events/hackathon-multi-agent-systems-for-scientific-research.md

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+---
+layout: event-single
+title: "Hackathon: Multi-Agent Systems for Scientific Research"
+start: May 11, 2026 9:00 AM
+end: May 11, 2026 6:00 PM
+image: /assets/uploads/website-icon-16.03.2026-ai-agents-for-research-workflows-1-.png
+link_to: https://training.cam.ac.uk/apsci/event/6290992
+---
+This hackathon will challenge participants to build multi-agent systems for scientific research workflows. Large language models are now achieving exceptional performance on coding and other scientific benchmarks. When embedded within multi-agent orchestration frameworks, these agents can tackle highly complex problems through multi-step planning, reasoning, and execution.
+
+Participants will be invited to build on top of open-source orchestration libraries such as AG2, LangGraph, and OpenClaw, as well as multi-agent systems such as Denario or any other open-source system, in order to automate a scientific workflow of their choice.
+
+Projects will be evaluated according to a range of criteria, including originality, technical implementation, systematic validation and evaluation, traceability, explainability, and user experience. Attendees will participate in project teams of up to 5 participants. It is possible to join the hackathon as a team or as an individual, and the organisers will support with arranging teams where needed.
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+This hackathon is being run jointly by the Accelerate Programme for Scientific Discovery and Infosys Cambridge AI Centre. There will be a judging panel comprised of Cambridge researchers and representatives from Infosys. Prizes will be offered to teams with the best projects as selected by the judges.
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+Open to all students and research staff with experience using Python for programming or scientific data analysis.
+
+Lunch will be provided with the opportunity for networking during the breaks.
+
+More information and registration are available [here.](https://training.cam.ac.uk/apsci/event/6290992)