Program

08:45–09:15
Arrival & Registration

09:15–09:30
Welcome

09:30–10:15
Sara Aronowitz (Uni Toronto)
Where do goals come from?

10:15–11:00
Cordelia Berz (LMU Munich)
Do We Know What We Are Testing? Philosophical Norms of Reasoning and LLM Evaluation

11:00–11:30
Break

11:30–12:15
Annemarie Friedrich (Uni Augsburg)
Learning from Research on Neurosymbolic AI: On the Difficulty of Designing NLP Experiments in the Age of LLMs

12:15–13:00
Hélie Bazin (Sorbonne Paris)
Measuring Grammaticality: On the Theoretical Interpretation of Syntactic Benchmarks

13:00–14:30
Lunch (self-organized)

14:30–15:15
Ben Höltgen (Hasso Plattner Institut Potsdam)
Calibration and the Pragmatic Nature of Probabilistic Modeling

15:15–16:00
David Grant (Uni Florida)
Statistical Inference Without (Pure) Statistical Evidence

16:00–16:30
Break

16:30–17:15
Konstantin Genin (Uni Utah)
Discourse-supportive Predictions

17:15–18:30
Break

18:30
Conference Dinner only for conference speakers at Khana Khazana (Theresienstraße 54)

09:00–09:30
Coffee

09:30–10:15
Anne-Laure Boulesteix (LMU Munich)
Evaluating statistical and ML methods: a metascientific journey

10:15–11:00
Matheus Diesel (Uni Washington)
LLMs as Research Subjects in Psychology: What Are They Good for?

11:00–11:30
Break

11:30–12:15
Kino Zhao (Simon Fraser University)
Ground Truth Is Theory-Laden: Is That a Problem?

12:15–13:00
Luise Müller (FU Berlin)
AI Agents and the Hard Problem of Moral Normativity

13:00–14:30
Lunch (self-organized)

14:30–15:15
Johannes Himmelreich (Institute for Futures Studies, Stockholm)
Mere Scores: Are Softmax Outputs Probabilities?

15:15–16:00
Hanti Lin (UC Davis)
A Plea for History and Philosophy of Statistics and Machine Learning

16:00–16:30
Break

16:30–17:15
Andrés Páez (University of the Andes)
Deflating XAI: On the Ontological Inscrutability of Internal Representations in Machine Learning

17:15–18:30
Break

18:30
Dinner (self-pay) at the Chinese Tower Beer Garden — subject to suitable weather

09:00–09:30
Coffee

09:30–10:15
Lily Hu (Yale University)
What’s in an interaction effect?

10:15–11:00
Daniel Herrmann (UNC Chapel Hill)
A Reduction of Causal to Probabilistic Reasoning

11:00–11:30
Break

11:30–12:15
Christoph Kern (LMU Munich)
The Human Baseline: Human versus Algorithmic Predictions in Public Employment Services

12:15–12:30
Final Remarks

Please take into account that the program might change.