ÖAW AI Winter School 2026

Contribution List

1. Welcome

Dr Claudius Krause (MBI Vienna (ÖAW)), Claus Trost (Erich Schmid Institute of Materials Science of theAustrian Academy of Sciences), Jan Odstrčilík (Institut für Mittelalterforschung, ÖAW), Kati Heinrich (IGF | ÖAW), Nicki Holighaus (Acoustics Research Institute, Austrian Academy of Sciences)

16/02/2026, 12:00

3. What is AI? Overview lecture: Part I

Michal Hradiš

16/02/2026, 12:30

regression, classification, generation, language models, etc.

2. AI and ML at the Austrian Academy of Sciences

Dr Claudius Krause (MBI Vienna (ÖAW))

16/02/2026, 14:30

4. Overview lecture: Part II

Michal Hradiš

16/02/2026, 16:00

LLMs and LLM architecture, transformers, supervised and unsupervised training in more detail

5. Vibe Coding & „Promptotyping”: Part I

Christopher Pollin (DH Craft Graz)

17/02/2026, 09:00

6. Vibe Coding & „Promptotyping”: Part II

Christopher Pollin (DH Craft Graz)

17/02/2026, 11:00

8. Vibe Coding & „Promptotyping”: Part II

Christopher Pollin (DH Craft Graz)

17/02/2026, 14:00

7. Vibe Coding & „Promptotyping”: Part III

Christopher Pollin (DH Craft Graz)

17/02/2026, 16:00

13. Bias in Machine Learning

Philip Winter (VRVis)

18/02/2026, 09:30

10. OpenEuroLLM and other developments on AI infrastructures

18/02/2026, 11:30

9. AI Strategy at the Austrian Academy of Sciences (ÖAW)

Bernd Wachmann (ÖAW)

18/02/2026, 14:00

12. Governing Machines: From Moderation to Alignment

Charlotte Spencer-Smith (CMC)

18/02/2026, 14:45

11. AI Policy at the Vienna University

Laura Gandlgruber (Vienna University)

18/02/2026, 16:15

15. From idea to final project: Part I - Data & Code Management

Stavrina Dimosthenous (University of Manchester)

19/02/2026, 09:00

Github management, workflows, exercises

21. From idea to final project: Part II - Data & Code Management

Stavrina Dimosthenous (University of Manchester)

19/02/2026, 11:30

Github management, workflows, exercises

16. From idea to final project: Part III - Data cleaning, reproducability

Stavrina Dimosthenous (University of Manchester)

19/02/2026, 14:00

17. Introduction to CLIP

Felix Schmitt (ÖAW | CLIP)

19/02/2026, 16:00

18. Explainability of Neural Networks in STEM fields

Gunnar König

20/02/2026, 09:00

19. Explainability of Neural Networks in STEM fields

Moritz Grosse-Wentrup

20/02/2026, 11:30

20. Evaluation and Interpretability of NLP systems

Pia Sommerauer (Vrije Universiteit Amsterdam)

20/02/2026, 13:30

14. Dinner at Stöckl im Park