Open Scientific Intelligence Hackathon

October 21-22, 2026, Virtual

We are no longer hosting an OSI Hackathon site at DSI, but virtual participation is still an option. If you are interested, instructions for registering are below.

The Open Scientific Intelligence Hackathon brings together scientists, mathematicians, and AI researchers from around the world for an intense sprint: build something real, in teams, across time zones and on-site locations.

A graphic with the words: Build the Future of Scientific Intelligence. LLM hackathonfor applications in materials and chemistry.

This year’s hackathon on October 21-22 encompasses the materials science and chemistry as well as the physical sciences and mathematics, and welcomes submissions in: LLMs, autonomous agents, datasets, benchmarks, models, scientific software, and more.

Who can participate?

Teams of UW–Madison students and researchers from all backgrounds are welcome. There is no cost to participate. You will need a reliable internet connection and access to a few tools that will be used during the event.

How do I learn more and sign up?

Join the Slack channel and visit the event website to lean more. If your team is interested in participating, you will need to complete the OSI registration form.

What can I expect?

A detailed agenda will be posted before the hackathon.

Day 1 (10/21): Getting started

  • Welcome & Networking: Meet fellow participants and organizers
  • Project Brainstorming: Explore ideas and form teams
  • Technical Setup: Access to computational resources and data
  • Mentorship: Connect with experienced researchers and industry professionals

Day 2 (10/22): Development & presentation

  • Intensive Development: Focus time for building your project
  • Final Submissions: Complete and submit your work
  • Project Showcases: Present your innovations to judges and peers
  • Awards Ceremony: Recognition for outstanding contributions

Resources available

During the event, participants will have access to:

  • High-performance computing resources
  • Curated datasets across the physical sciences and mathematics
  • Documentation and tutorials for LLM, agent, and scientific software APIs
  • Expert mentorship and technical support
  • Collaboration tools and communication channels

Questions?

Check out the FAQ page.