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Data-driven Hackathon

The SciLifeLab and Wallenberg national program for Data Driven Life Science (DDLS) recently announced a 3 day Data-Driven Life Science dedicated hackathon. The event will take place at SciLifeLab Solna October 9-11 and will accommodate around 40 participant to work collaboratively on projects. Participants can also join as course participant with this event as the final assignment.

Participants will be able to choose and collaborate on a range of projects provided by the organizers. With the support of teaching assistants in a hands-on environment, groups will innovate and develop solutions in the dynamic field of data-driven life science.

During the hackathon, participants will select a dataset and apply the skills and knowledge to create AI models, analyze the data, and produce meaningful insights. At the end of the hackathon, teams will present their achievements. Participants will form pairs or small groups of 2-3 people on-site to work on projects, exchange ideas and experiences, and engage in pair programming. This collaborative environment will foster innovation and provide a unique opportunity to apply the concepts learned throughout the course to real-world problems in data-driven life sciences. 

Target audience: Everyone involved in the DDLS program, including PIs, affiliated PhD students, postdocs, and facility trainers, is welcome to join the code fair. 

What will you gain attending the hackathon?: If you are to be selected to participate you will get the opportunity not only to work hands-on on a data-driven life science project, but also to network with experts within the field of data-driven life science, researchers and research infrastructure experts. 

The hackathon is free-of-charge but participants need to cover their own travel and accommodation. 

For more information and questions about the hackathon please contact: weio@kth.se or traininghub@scilifelab.se

Sign up for the Hackathon here, before September 30


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Last updated: 2024-09-17

Content Responsible: Johan Inganni(johan.inganni@scilifelab.se)