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ICCS will be holding its annual summer school from the 10th July to the 12th July 2024 and will be open to members of the Schmidt Sciences community. Registration for in-person attendance is now closed.

 

Important Information for Participants

The ICCS summer school brings together members of the Schmidt Sciences funded VESRI teams and runs a number of sessions to support their research. It encompasses a mixture of training, workshops, scientific presentations, and social events. The training workshops will focus on the best practice in software engineering methods. 

The summer school is free of charge, and accommodation and the social events will be free of charge for members of the Schmidt Sciences community. There is also a bursary available to support the attendance of Schmidt Sciences community members to the ICCS Summer School, to finance travel to and from Cambridge, and other potential costs. ICCS are also happy to offer assistance in non-financial ways, e.g. by offering advice on travelling to/from and staying in Cambridge. We are happy to consider all requests and will help where we can. 

For members of the Schmidt Sciences community who have registered for the summer school, and want to get an idea of what it’s about, you can see last year's programme here. If you'd like to see some of last year's presentations, recordings are available under this playlist our YouTube page.

Please get in contact with us at iccs@maths.cam.ac.uk if you have any questions about the summer school. We're really looking forward to seeing you in July!

Date: 
Wednesday, 10 July, 2024 - 12:00 to Friday, 12 July, 2024 - 17:00
Event location: 
Centre For Mathematical Sciences, Wilberforce Road, Cambridge, CB3 0WA

About Us

Computational modelling is key to climate science. But models are becoming increasingly complex as we seek to understand our world in more depth and model it at higher fidelity. The Institute of Computing for Climate Science studies and supports the role of software engineering, computer science, artificial intelligence, and data science within climate science.

The institute comprises a collaboration between Cambridge Zero, the Departments of Applied Mathematics and Theoretical Physics (host department of the institute), Computer Science and Technology, and University Information Services at the University of Cambridge.

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