CodeRefinery hackathon in Stockholm

Building a Nordic community of research software engineers

November 6-7, 2019, KTH Main Campus

We start Wednesday morning and conclude Thursday after lunch.

Location: KTH Library, Osquars backe 31, KTH Main Campus.

Welcome to the first CodeRefinery hackathon!

The idea behind this event is to bring together people who are working with code and/or data in research, in an informal environment where ideas can be exchanged, expertise shared and real work done! This hackathon is suitable for both experienced computational scientists and newcomers who still have things to figure out. We’ll make sure that everyone can learn something.

What you can do at the hackathon

  • Participate in a 2-day project
  • Bring your own code or data and get suggestions/help on how to better organize, test, document, and share your code.
  • Participate at a ReproHack where we try to reproduce a nominated paper (can be your own paper!) and learn how to make software papers better reproducible.
  • Develop a new CodeRefinery lesson.
  • Share your expertise with others and learn many new tricks and tools from others.

2-day project: bring your own project (code or data)

You are working on a software development project on your own or as a team and would like to apply best software practices to your project. Or you do not have a project yet but would be interest to join a team and learn how they adopt best software practices: as an external participant, you will be able to give accurate and important feedback and learn what are the important steps in the context of a real project.

It is also OK to suggest building something new within the hackathon.

To participate in this session, please propose a project. For this please email us a project title and an abstract. Please provide us with some background information about your code/data.

Here is the list of project proposals that we have received.


ReproHacks are one-day reproducibility hackathons where participants reproduce papers from published code and data. We will be running two ReproHack sessions during our hackathon.

To participate in the ReproHack, please nominate one paper which we will try to reproduce as a group (please email a suggestion to us). You can nominate your own paper and then you get feedback about how to improve your own work.

Here is the event page.

Develop a new CodeRefinery lesson

Would you like to participate in the development of new CodeRefinery lessons? We are listing a few ideas below but do not hesitate to contact us for new subjects!

  • New lesson on web scraping
  • New lesson on regular expressions
  • Add R examples in all CodeRefinery lessons (such as automated testing, documentation, etc.)
  • Generalize the automated testing lessons to a selection of programming languages

Share your expertise

We will schedule short informal presentations where you can show something cool you have built or learned.


Wednesday, November 6

  • 9:00 - 10:00: Overview and motivation
    • Welcome and practical information (Radovan, 10 min)
    • The Zen of Scientific Computing (Richard, 15 min)
    • Data track (Rosa Lönneborg, 15 min)
    • Nordic RSE (TBA, 15 min)
  • 10:00 - 10:30: Group projects pitch
  • 10:30 - 11:00: Morning break
  • 11:00 - 12:30: Group work session 1
  • 12:30 - 13:30: Lunch
    • Place TBA
  • 13:30 - 15:00: Group work session 2
  • 15:00 - 15:30: Afternoon break
  • 15:30 - 16:30: Group work session 3
  • 16:30 - 17:00: Summary of day 1
    • Each group presents a few minute summary of what they’ve learned so far

Thursday, November 7

  • 9:00 - 10:30: Group work session 4
  • 10:30 - 11:00: Morning break
  • 11:00 - 12:30: Results
    • Presentations of results (all groups)
    • Concluding remarks
  • 12:30 - 13:30: Lunch
    • Place TBA
  • Afternoon: Departure


  • Thor Wikfeldt
  • Anne-Claire Fouilloux
  • Radovan Bast



CodeRefinery is a project within the Nordic e-Infrastructure Collaboration (NeIC). NeIC is an organisational unit under NordForsk.

GitHub and Twitter


Radovan Bast
High Performance Computing Group
UiT The Arctic University of Norway
+47 776 44117