There are several ways to participate in the Hackathon:

• by building a science team;
• by joining a science team;
• by exploring in loose collaboration with others.
• work on your own.

Over the course of the hackathon it is conceivable that you do all of the above. The primary platform to collaborate within teams and across nodes is built on GitHub.

Build a Science or Tech Team

To buid a team you need to define and document a scientific question, propose specific analyses, and coordinate the activities of people who join your team. To propose a team just open a pull request that adds a description of your team following the template provided by the list of existing teams. Please give your group an identifier following the pattern ‘hk25-[zyn]’. The identifier helps to refer to your group. Once you choose your identifier, please refer to your working repository in your description.

In the case that you have an idea that overlaps with ideas already being used to build a team, contact the team-lead of the existing team and explore the possibility of joining the team, or jointly coordinating the team.

Join a Science or Tech Team

Joining a team is easy, simply review the list of existing teams and sign up for one that interests you. Signing up to a team will happen during the first day of the hackathon. For preparation, you can already explore their directory in the GitHub repository hk25-teams. Just look for their identifier. Depending on how ambitious the various projects are it might be possible to join more than one team, but please clarify your role and degree of commitment with the coordinator of teams you join.

Explore tutorials in loose collaboration

For those who don’t want to build a team, or join a team, it is still possible to explore the data with others. For this purpose a collaborative environment will be set up for those not affiliated with a team to exchange with others about what they are doing. Simply open an issue, refer to the identifier of the science lead and start a discussion. In addition some tasks will be suggested that help new users get started with their own analysis.

Work on your own

Experienced users might have a clear idea of what they want to accomplish during the Hackathon. However, because not all models will be hosted on all nodes, working on your own may preclude you from applying your analysis to all of the models. For that you would need to build a team.