Freitag, 06. Juni 2025
09:30 - 17:00

We are proud to announce the Computational Reproducibility Hackathon of the SwissRN working group on Computational Reproducibility taking place on June 6, 2025 at FernUni in Brig, Canton of Valais, Switzerland. This one-day event offers a unique opportunity to mutually reproduce each other’s methods, papers, and tools, fostering a collaborative environment where we can learn from one another and enhance the quality and accessibility of our research.

Registration

Call for submissions

We invite you to submit your proposals for methods, tools, or papers—ideally your own work—that can be reproduced during the hackathon. By engaging in mutual reproduction, we aim to:

  • Quality control: identify strengths and areas for improvement in our work.
  • Understand challenges: experience firsthand the difficulties others may face when reproducing our research.
  • Improve accessibility: learn how to make our work more accessible and reproducible for future researchers.
  • Contribute to posterity: enhance the longevity and impact of our research by making it easier to replicate and build upon.

Please submit your work by March 30, 2025, using this form. We will review all entries and select those that best represent diversity and feasibility.

Agenda

TimeActivity
09:30Arrival & Coffee
10:00Welcome & Introduction to Papers/Tools
10:30Reproducibility Hackathon, Part 1
 Participants work on reproducing each other’s submissions.
12:00Lunch
13:00Reproducibility Hackathon, Part 2
 Continued collaborative reproduction efforts.
14:30Coffee Break
15:00Discussion of Group Replication Experiences
 Share insights, challenges faced, and solutions found.
16:00Consensus Discussion: Challenges & Opportunities
 Delve into common hurdles and brainstorm ways to improve reproducibility.
17:00Closing Remarks


For those who wish to continue the conversation, we are planning a joint dinner around 6:00 PM. In addtion, we plan to have a voluntary hike the following day.

Why Participate?

  • Mutual learning: gain new perspectives by having others engage with your work.
  • Enhance your research: receive constructive feedback to refine your methods and tools.
  • Skill development: improve your ability to document and share reproducible research.
  • Community building: connect with peers dedicated to advancing reproducibility in science.
  • Contribute to a shared goal: help establish best practices that benefit the wider research community.

Registration

Registration for the hackathon is free, but required. Please register by April 30, 2025.

Publication Opportunity

We aim to publish a joint proceedings article on Zenodo, F1000 or arXiv.