To further the development of the mantle convection code ASPECT and its user community, current users and developers of ASPECT will be working side-by-side over 10 days. Participants will make significant progress both on the development of ASPECT itself, as well as on the models individual users are building for their own research.
Note that the hackathon is not a tutorial. It is aimed at users with knowledge about how to set up an ASPECT model and a specific project for what feature to develop/improve during the hackathon. Senior participants are expected to spend part of their time mentoring newcomers, and it is expected from junior participants to be eager to learn about the inner workings of the code. Please work through the technical requirements page at least two weeks in advance of the hackathon, to make sure we all have a productive time.
The majority of the time at the hackathon will be spent working on the code in an informal setting, individually or in small groups.
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Application Opens: January 21
Application Closes: March 31 CLOSED
Notification of Acceptance Begins: April 30 Notification sent
Limit: 24 participants
Wolfgang Bangerth, Colorado State University
Juliane Dannberg, U. Florida
Rene Gassmoeller, UC Davis
Timo Heister, Clemson University
Lorraine Hwang, UC Davis
John Naliboff, UC Davis
The hackathon will be held over 2 weeks with formal sessions during the week, Monday through Friday, beginning Monday August 3 and ending Friday August 14.
The hackathon will be mostly virtual. Participants who are co-located are welcome to gather if allowed in your location. Groups must follow all protocols in your jurisdiction for gatherings.
Participants must apply to attend. Registration does not guarantee acceptance to the event. All participants are required to attend all formal session during the event. [apply] CLOSED
All registrants must apply for support for Workshop Fees.
Please work through the technical requirements page at least two weeks in advance of the hackathon, to make sure we all have a productive time.