How to compare apples with apples - or: Why causal inference is important for everyone
6 March 2025
Whether during the coronavirus pandemic, in marketing or in classic online evaluations - statistical analyses play a major role in our everyday lives, as they have a direct or indirect influence on private, economic or even political decisions. This makes it all the more important to familiarise ourselves with the methods of causal inference in order to understand cause-and-effect relationships at their core.
How to compare apples with apples - or: Why causal inference is important for everyone
Spotlight: Data Literacy Teaching Lab
In our series "Spotlight: Data Literacy Teaching Lab", we talk to lecturers who have received funding for their teaching projects from the Digital and Data Literacy in Teaching Lab (DDLitLab for short) at the University of Hamburg.
What were the innovative ideas of the projects? What were the particular didactic and content-related challenges, and the highlights?
And are there perhaps specific tips for other teachers who would also like to set up a new teaching project and are looking for experience reports?
We will clarify this and more in our look at and behind the scenes. Spotlight on!