Software for the evaluation and creation of research data is nowadays being developed in almost all research areas. However systematic training is rarely part of the curriculum or of further education in non-computer science subjects. Without sustainable, high-quality research software, the evaluation and analysis of research data are limited in many areas, and the traceability and reproducibility of research results are at risk.
The HeFDI Code School addresses this gap by offering training formats that promote sustainable, high-quality research software for doctoral researchers and postdocs from all disciplines. Demand for the various formats of the HeFDI Code School is continuously increasing.
The HeFDI Code School is organized by the federal state initiative HeFDI, in strong cooperation with selected experts from HKHLR, hessian.AI, Suresoft and NFDI4ING as well as NFDI4Earth.
In several tracks, all researchers can choose content that matches their individual skill level. It is important to know that our tracks are specifically designed for domain researchers building up programming skills alongside their subject research. That means that an expert track is probably expert level for them but not for someone who studied computational science or software engineering. We see the target group for our tracks as follows:
- Basic Tracks: Aimed at beginners with no prior coding experience (currently only offered as an Introduction to Python).
- Advanced Tracks: Tailored for domain researchers who write code and want to learn how to make their scripts more sustainable, reproducible, and structured.
- Expert Tracks: Designed for self-taught or domain coders looking to apply specialized methodologies or topics (such as Deep Learning or AI agents) directly within their research workflow.
On the following pages, you will find information about past workshops as well as details on which tracks are planned for the future. Registration for the individual tracks is available on the respective workshop detail pages. All workshops will be held in English.