About the Challenge
Chaotic systems are notoriously difficult to model and predict. In this challenge, you will develop machine learning approaches to model the Lorenz system, a classic example of deterministic chaos with applications across weather prediction, fluid dynamics, and beyond.
Advance research on modeling complex dynamical systems with applications across energy and beyond. The winning team will be invited to give a talk at the AI-DEEDS 2026 workshop!
Getting Started
The challenge is hosted on Kaggle as part of the CTF-4-Science initiative. Visit the competition page to access the dataset.
Timeline
Note: A paper submission is required to be eligible for a talk at the workshop.
How to Submit
- Compete on the Kaggle competition
- Write a short paper (up to 4 pages) describing your approach
- Submit your paper to the Chaotic Systems track on HotCRP
- Include a link to your Kaggle submission or code repository
Prizes
Winner: Invited to give a talk at the AI-DEEDS 2026 workshop at ACM e-Energy!
The contest will have $1000 in prizes!
Top submissions will also be considered for publication in the workshop proceedings.