Speaker
Description
In September 2021, we organized the Helmholtz Herbst Hackathon, a data science hackathon targeting PhD students and PostDocs in the Helmholtz Association. 45 participants mostly from the six Helmholtz Information and Data Science Schools (HIDSS) worked on data science challenges from various scientific domains. Especially after the long isolation due to the pandemic, we focused the program on personal interaction, exchange, and collaboration and created a more collaborative than competitive atmosphere. The data challenges were based on the Jülich Data Challenge platform [1]. Science to Physical Analytics. All participants were offered an introductory course to the HAICORE compute resources beforehand and were guided throughout the hackathon by a team of Helmholtz AI consultants.
Preferred time slot length | 30 minutes |
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Intended Audience | Organizers of teaching events |
Contribution Language | German |