Project Data Science and Big Data in School (ProDaBi)

We develop, implement and evaluate concepts and materials
on the topics of data science and AI in school.

What is the ProDaBi project about?

Wir wollen Data Science und KI in die Schule bringen, um Schüler*innen zu befähigen,
to handle and use these technologies in a self-determined way.
The diagram shows the individual project pillars and subject areas:

What are the tasks and goals that we pursue?
What should education on data science, big data
and AI look like in the future?

News

Kommende Colloquiumssessions

Session 24 - Part 1: Sven Hüsing (Germany), Line Have Musaeus (Denmark) & Michael E. Caspersen (Denmark) - Epistemic Programming

  • 09.12.2026
  • 16.00-17.15
  • (UTC+1)

Session 24 - Part 2: Sarah Schönbrodt (Austria) & Clara Müller (Germany) - Fairness in Algorithmic Decision-Making: Didactic Foundations, Learning Environments, and High School Students' Reasoning

  • 09.12.2026
  • 17.15-18.30
  • (UTC+1)

Session 25 - Part 1: Ricardo Baeza-Yates (Chile) - The Limitations of Data, Machine Learning & Us

  • 13.01.2027
  • 16.00-17.15
  • (UTC+1)

Session 25 - Part 2: Florian Rampelt (Germany) - From AI Literacy to AI Education: Empowering Teachers and Learners for the Age of AI

  • 13.01.2027
  • 17.15-18.30
  • (UTC+1)
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