Graduate Workshop Program

08:45–09:15
Arrival & Registration

09:15–09:30
Welcome

09:30–10:30
Keynote: Emily Sullivan (Uni Edinburgh)
TBA

10:30–10:40
Break

10:40–11:20
Joachim Stein (Uni Tübingen)
Questioning the Promise of Mechanistic Interpretability

11:20–12:00
Riccardo Fracchioni (TU Dortmund)
The Epistemic Significance of Machine Learning Failures in Science

12:00–12:20
Break

12:20–13:00
Jiarui Qu (New York University)
Selecting the Criteria of Model Selection

13:00–14:20
Lunch (self-organized)

14:20–15:00
Katia Parshina (LMU Munich)
Epistemic Value of Shortcut Predictions

15:00–15:40
Aline Korver (Uni Groningen)
Contextualizing Model Complexity

15:40–16:00
Break

16:00–16:40
Eric Choi (UNC-Chapel Hill)
Lessons from a Degenerate Case of Algorithmic Monoculture

16:40–17:00
Break

17:00–18:00
1:1 Mentoring Session

18:30
Workshop Dinner at Atzinger (Schellingstraße 9)