Hackathon: The Energy–AI Nexus
Where: TBD
Teams of three (an AI Architect, a Subsurface Geoscientist, and a Renewable Analyst) compete in a continuous simulation to build a thriving city while powering the astronomical, escalating energy demands of advanced Artificial Intelligence.
Participants must require rapid, high-stakes collaboration to site non-renewable and renewable assets, balancing a finite budget against strict real-time grid stability constraints—all without the safety net of battery storage.
To succeed, teams will transition from manual play to developing custom Python machine-learning solutions, ultimately training an autonomous AI agent to take over, optimize the infrastructure, and manage the society’s long-term energy transition.
Programme
| Time | Activity |
|---|---|
| 9:00 - 9:30 CEST | Welcome and coffee |
| 9:30 - 10:00 CEST | Introduction to the theme, access and started Phyton AI script |
| 10:00 - 13:00 CEST | Project and team discovery, strategy formulation |
| 13:00 - 18:00 CEST | Core hacking, teams write, train, and refine their AI agents to play the game autonomously |
| Time | Activity |
|---|---|
| 9:00 - 9:15 CEST | Welcome and coffee |
| 09:15 - 10:00 CEST | Code freeze, participants receive the final presentation criteria |
| 10:00 - 12:00 CEST | Coding and training |
| 12:00 - 13:00 CEST | Time for working and practicing presentations |
| 13:00 - 14:00 CEST | Presentations to the Judging Panel |
| 14:00 - 15:00 CEST | Award Ceremony |
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.
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 | 60 EUR |
| Regular | 120 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.
SPONSORED by:
Supported by:
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.