Hackathon: EAGE Agents
Are you ready to revolutionize seismic data processing? Join us for an engaging 2-day hackathon where innovation and AI converge!
In this challenge, you’ll design and implement agentic AI applications capable of autonomously processing real-world seismic data.
No coding experience? No problem! Whether you’re an expert coder or new to AI, you may find a challenge tailored to demonstrate your ability to think creatively and implement practical solutions, while tackling real-world challenges.
Programme
| Time | Activity |
|---|---|
| 9:00 - 9:30 CEST | Welcome and coffee |
| 9:30 - 10:30 CEST | Introduction to the theme |
| 10:30 - 11:00 CEST | Project and team discovery |
| 11:00 - 18:00 CEST | Hacking all day |
| Time | Activity |
|---|---|
| 9:00 - 9:15 CEST | Welcome and coffee |
| 09:15 - 12:00 CEST | Hacking and preparation of presentations |
| 12:00 - 12:15 CEST | CODE FREEZE: Participants receive final presentation criteria |
| 12:15 - 14:00 CEST | Time for working and practicing presentations |
| 14:00 - 15:00 CEST | Presentations to the Judging Panel |
| 15:15 - 15:45 CEST | Announcement of the winners and prizes* |
The hackathon at the EAGE Annual will be preceded by an online session to connect registered and interested participants, discuss project ideas and start forming teams.
**In addition to exciting prizes, the winning projects will be presented in a Special Session organized by the EAGE A.I. Committee during the conference.
Registration
You can register for the Hackathon in two ways:
- If you’ve purchased the All Access Pass, you can select the Hackathon as one of your included activities.
- You can also register separately by purchasing the Hackathon as an individual activity.
Spaces are limited so hurry up and register now!
| Registration | Fee |
|---|---|
| Student | 30 EUR |
| Regular | 60 EUR |
Theme: Title
Everything we do has an energy footprint including our code, our computing and our workflows in the energy industry. Can we do better?
This 2-day hackathon will gather teams working toward developing solutions leveraging AI for improving power efficiency or optimizing workflows. Moving toward a net-zero future, aside from other efforts, would benefit from making classic algorithms more performant with less energy footprint, using physics-ML to address computationally-prohibitive problems, or bringing state-of-the-art methods from research labs onto production scale.
Participants will have access to cutting-edge GPU servers and mentorship of industry experts.
Sponsorship opportunities:
Are you interested in supporting this activity? Check out the sponsoring opportunities on this page.
About the EAGE A.I. Committee
The EAGE A.I. Committee is a team of EAGE members and volunteers who endeavour to share knowledge and create new connections in the digital transformation that are relevant for geoscientists. In addition to regular contributions to EAGE conferences and workshops, they curate a periodical newsletter on all things A.I., machine learning and digitalization, as well as interviews with experts and other initiatives for the community. You are welcome to join the EAGE Artificial Intelligence group on LinkedIn to receive updates on all future opportunities to get involved.
