Workshop & Hackathon on

Machine Learning for Earth System Modelling 

19-26 August 2026

Bonn, Germany

Abstracts & Registration

Programme

Workshop registration

On-site participation will cost 240 €. This includes access to the venue, coffee breaks and lunches and a conference dinner. Up to 30 seats can be taken by students at a reduced rate of 125 € on a first come first serve basis. Proof of student status will be required. Registration for online participation will cost 75 €.

Abstract submission

We invite you to submit your abstracts with relevance to the topics to be discussed in this year’s workshop.

Submissions will only be via CMT* platform (https://cmt3.research.microsoft.com/About)

Authors will need to create an account on the platform (if they do not already have one) at: https://cmt3.research.microsoft.com/docs/help/general/account-creation.html

Each abstract should be a maximum of 1 page.

Notification of accepted abstracts will be communicated on 30 Jun 2026.

Acknowledgement:

The Microsoft CMT service was used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support

 

Hackathon application

The hackathon will accommodate up to 40 participants. We want to achieve a nice balance of different experience levels, gender, color, expertise, and more. Therefore, we ask you to first fill out a form with some questions to get to know you. We will then establish a ranking from your submissions and inform you about the outcome. Registration will only be possible upon invitation and for a limited time window to give others the chance to take your seat should you not react.

The application will open soon

Registration fee is 50 € which covers access to the site, coffee breaks and lunches. You will have the option to attend a hackathon dinner, which will add 40 € to the registration fee.

Questions?

📩 Contact us at: mlesm-workshop@cesoc.net

We gratefully acknowledge the support by
CESOC, ECMWF, the TRA Modelling at the University of Bonn, the Forschungszentrum Jülich and the University of Cologne.

 

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