About Our Team & Mission
Artificial intelligence and machine learning are reshaping how we live, work, and think. Yet education in these areas is often fragmented — either highly technical or focused only on societal debates.
Our project exists to bridge this gap. We bring technical foundations and societal perspectives together in one classroom, creating space for students from diverse disciplines to learn, question, and collaborate.
Teaching Philosophy
Our team believes that AI and machine learning education should not remain the domain of specialists alone. Our mission is to deliver an approach that is:
- Accessible — tailored to students and professionals from diverse disciplines
- Hands-on — focused on interactive coding and practical data analysis
- Critical — addressing fairness, transparency, regulation, and ethical questions
- Interdisciplinary — creating dialogue between natural sciences, social sciences, and the humanities
Our courses are designed to be both practically useful and thought-provoking, equipping participants with skills and perspectives they can carry into their own fields.
Who We Are
Dr. Christoph Weisser
Technical Lead Analytics & AI
BASF
Ph.D. in applied statistics
Research: applied statistics and data science, forecasting, agentic systems
Passionate about teaching and business data science
Dr. Knut Zoch
Physicist
Harvard University
Ph.D. in experimental particle physics
Research: big data analytics at CERN, machine learning for science
Passionate about teaching and interdisciplinary science
Where We’ve Taught
Since 2019, our courses have been part of summer academies and workshops across Europe, often in collaboration with the Studienstiftung des Deutschen Volkes (German National Academic Foundation) and other academic partners.
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🇬🇧 2019, Cambridge, UK — St. John’s College, Cambridge, with participants from Cambridge University.
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🇩🇪 2021, Koppelsberg, Germany — Interdisciplinary summer academy with participants from across Germany.
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🇸🇮 2024, Ljubljana, Slovenia — Joint program with students from the Max Weber Program, Elite Network of Bavaria.
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🇩🇪 2025, Banz Castle, Germany — Summer academy with participants from the College of Europe.
Each of these programs brought together students from diverse disciplines — philosophy, law, economics, biology, physics, and more — creating a truly interdisciplinary dialogue on AI and society.
Open Resources
All of our teaching materials are open-source and freely available on our GitHub organisation page:
- Hands-On Notebooks – Colab-ready exercises for interactive ML learning
- Python for Data Science – A beginner-friendly crash course covering Python, pandas, and scikit-learn
- Coding Challenges – Short projects inspired by real-world AI applications
Each repository includes setup instructions, example projects, and modular content blocks for educators and learners alike.