Maths4DL, in partnership with National Air Traffic Services (NATS), presents this hackathon with challenges framed from an industry-focused perspective. Participants will investigate the use of machine learning techniques for optimal control and physics simulations. The event will take place from 15-16 April 2026 at the Centre for Mathematical Sciences at the University of Cambridge and is open to researchers in industry and academia at all levels (from final year undergraduate to faculty members).

This event is open to registered participants only – further details on how to register are below.

Provisional schedule

Use of Outputs and Data Access

By registering for and taking part in this hackathon, participants agree that code and insights generated during the event may be freely shared with our industrial partner, NATS, for research and evaluation purposes, without any guarantees of correctness, and on the condition that it will not be passed on to a third party. Participants retain ownership of their original contributions. To access hackathon data, participants will be required to sign a simple consent form outlining the responsible use of NATS data at the start of the hackathon.

How to register

To apply for a place at the hackathon please complete the form linked below. Registration is open until Saturday 28 February but places are limited and early registration is encouraged.

Registration form

ML4DE working group

This event is being organised by the Maths4DL working group on machine learning for differential equations (ML4DE). If you are not a member of the working group and are interested in finding out more about what we do or signing up to our mailing list, please get in touch at maths4dl@bath.ac.uk.