Join GhentCORR’s Reproducible Code & Coffee event on April 28th

How can we make our code easier to understand, rerun, and reuse — both for ourselves and for others? Join us for an informal, researcher-led session where colleagues share real practices that improve computational reproducibility: the simple habits that save time, prevent errors, and make collaboration smoother. Topics include the “why” of reproducibility, good coding habits, version control, reproducible environments, and sharing/archiving code.

Expect a relaxed setting with coffee, tea, cookies, and open conversation. No formal lectures — just practical insights and honest experiences from fellow researchers.

Target audience:

This session is for researchers who:

write scripts or software as part of their work want their code to survive beyond their laptop
use Git (or not yet…)
are curious, but not necessarily experts

If you already code but have not thought much about reproducibility, this is for you. This event is part of a new series organized by GhentCORR (Ghent University Community on Open and Reproducible Research). Learn more and connect with the community.

Practical information:

Time: April 28th from 15:00 to 16:30

Location: Campus Sterre, S5 Library room (third floor)

Registration: https://event.ugent.be/registration/ReproducibleCodeCoffee

Agenda:

Welcome and introduction
Toon Verstraelen (Associate professor, Center for Molecular Modelling). Turning raw research results into a publication often becomes a scattered, nonreproducible process across spreadsheets, scripts, and manuscript files. Toon will present how his team tackles this challenge with publication workflows that can reproduce the entire analysis starting from raw results all the way to the ZIP files with the manuscripts and datasets for upload to publishers and data repositories.
Bart Mesuere (Assistant professor, Department of Mathematics, Computer Science and Statistics). Web-based research tools are convenient… until you need to reproduce last year’s results. Using Unipept (a research web application) as a case study, Bart will discuss the reproducibility challenges that arise when both the software and its underlying reference data are regularly updated, and what practical guardrails help keep results traceable and repeatable over time.
Sander Hendrickx (Lead Software Engineer, Biophysics Research Group). Developing a mature software package can be challenging when the team consists of PhD researchers rather than software developers. Sander will explain the hurdles of writing and maintaining a shared software framework with a team of researchers, and what they implemented to overcome these issues and streamline the development process.

March 17, 2026, 3:03 p.m.