Reproducible Data Science Summer School

Format: In person, 4.5-5 day summer/winter school (optimally in a nice location), 2-3 exciting keynotes + workshop sessions + social/networking events
Size: 5 - 35 participants
Prerequisites: Basic coding skills in e.g. R, Python or similar, basic knowledge of data analysis

This summer/winter school will turn you into a science champion. In the course of this week you will learn everything that makes a great and reproducible research project and you will leave with the most important steps already implemented for your current project. In 3 inspiring keynotes science champions will share their experiences and wisdom with us. We have some great social events planned for you so that this school will serve as the most fun and fruitful event of your year.


  • What is reproducible research?
  • Project organisation for reproducible research
  • Reproducible analyses
  • Publication of research output
  • Science communication
  • Topics from the keynotes (dependend on speakers)