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    Area of Science:

    • Computational Biology
    • Bioinformatics
    • Scientific Collaboration

    Background:

    • Traditional scientific conferences have limitations in fostering deep collaboration and consensus-building among diverse computational biology technologies and researchers.
    • Scaling in-person interactions for multi-institution collaborations and knowledge transfer is challenging.
    • Existing formats like Birds-of-a-Feather sessions are often too short and fragmented for in-depth joint work.

    Purpose of the Study:

    • To evaluate the effectiveness of interactive developer meetings like Codefests, Hackathons, and Sprints in computational biology.
    • To address the limitations of traditional scientific meetings in promoting peer interaction and consensus.
    • To explore how these events facilitate the development of powerful, combined computational biology workflows.

    Main Methods:

    • Summarizing experiences with computational biology Codefests, Hackathons, and Sprints.
    • Analyzing the structure and organization of these interactive developer meetings.
    • Documenting participant-driven scheduling and topic selection in an "unconference" format.
    • Highlighting introductory talks and intensive collaborative coding sessions.

    Main Results:

    • Codefests, Hackathons, and Sprints strengthen peer interaction and allow participants to shape the agenda.
    • These events facilitate the development of combined computational biology technologies and workflows.
    • Prominent achievements and variations in organization, audience engagement, and community outreach were observed.

    Conclusions:

    • Hackathons, Codefests, and Sprints create a dynamic environment for collaborative problem-solving in computational biology.
    • These events encourage participants to proactively address shared interests and challenges.
    • They provide valuable opportunities for new researchers to engage in collaborative projects.