Teach how to learn We encourage and assist participants of the DCL in learning important data literacy skills and tools for analysing and processing data. The students themselves decide which tools might help them and to what extent they are relevant to their projects.

Offering a playground for causality We communicate important concepts of causality in an interactive way. This is why we develop interactive apps for core topics of causal inference and let participants play around with them just like in a playground.

Open Source We believe that everyone is benefitting from exchange with others. Learning is much easier when resources are publicly available. If code is involved, a lot can be learned from reading the source code. This is why we publish our teaching materials like our apps and the participants’ data products on GitHub.