DSC-2025-25 | Getting Git-Ready for Research Projects
Wann?
26. November 2025
09:30 - 16:30 Uhr
Wo?
Campus (Raum folgt in Kürze)
Trainer*innen
Annika Nolte, Nils Leusmann & Timo Laudi
Data Science Center, Universit?t Bremen
Anzahl Teilnehmende: Max. 30
Sprache: Englisch
Why is the topic important?
Proper version control is a fundamental part of modern, digitized workflow, ensuring transparency, reproducibility, and efficient collaboration. Utilizing the powerful tool Git, documents can be tracked and changes in the workflow can be streamlined – whether working alone or in a team.
Workshop Goal
By the end of this training, participants will have Git fully set up on their computer and be ready to start using it immediately. They will be able to create and manage a Git repository, track and restore version histories, and understand the fundamental principles of collaboration using Git. Beyond technical skills, participants will have reflected on how version control can be integrated into their own research projects or daily workflows, improving organization, reproducibility, and teamwork.
Workshop Content
- Why Git is useful for researchers and common use cases in research workflows.
- Core Git Functionalities: Explanation of key concepts (repositories, commits, branches, merging, merging conflicts) in an easy and illustrative way.
- Playful, interactive challenges woven between theory to reinforce key Git concepts.
- Hands-on Git session: Participants set up a repository, track changes, and collaborate on managing a dataset that evolves over time.
Target Audience & Prior Knowledge
The training is meant for people with no to little prior experience with Git. The training is open to all researchers working with Windows or Linux (there will be limited support for MacOS).
Technical Requirements
- Connection to the Wifi (e.g. via eduroam).
- Own laptop with Git installed. Additionally, you will need an account on Github, for which instructions will be provided before the training.
About the Trainers
Annika Nolte is a data scientist for training and consulting at the DSC. Nils Leusmann and Timo Laudi work as research associates at the DSC.
As a DSC data scientist and environmental scientist, Annika Nolte supports researchers with their data management and analysis workflows. In training and consulting, Annika draws on broad expertise in Earth system sciences and extensive experience in scientific programming. Her main focus areas are data standardization, data management, statistical methods, geospatial analysis, and machine learning in environmental and marine sciences.
Currently pursuing a Ph.D. at the DSC, Nils Leusmann focuses on self-assessment routines for online algorithms. He holds a Master’s degree in Computer Science from the University of Bremen (2020) and a Bachelor's degree in Information Technology from DHBW Stuttgart (2016). His expertise includes digital twins, robotics, cognitive architectures, and knowledge representation. Nils has also worked extensively with Git for version control of his own research and collaborative development in scientific computing.
As a computer scientist, Timo Laudi manages the infrastructure and IT services of the DSC and offers support to their users. He has a particular interest in machine learning and, as part of his doctoral research, focuses on techniques and methods aimed at making artificial intelligence more sustainable and efficient.