Program

Please, take into account that this program is still subject to changes and updates. 

09:15-09:30 Arrival & Registration

09.45-10:00 Welcome 

10:00-10:45 Florian Boge (TU Dortmund) Deep Learning Robustness for Scientific Discovery: The Case of Anomaly Detection.

11:00-11:45 Tom Sterkenburg (LMU) The Epistemology of Statistical Learning.

11:45-13:00 Lunch

13:00-13:45 Silvia Milano (Uni Exeter) Recommender Systems and Epistemic Polarization.

14:00-14:45 Jonathan Vandenburgh (Stanford) Trustworthiness and Knowledge from Machine Learning.

14:45-15:30 Coffee Break

15:30-16:15 Michael Knaus (Uni Tübingen) Effect or Treatment Heterogeneity? Policy Evaluation with Aggregated and Disaggregated Treatments.

16:30-17:15 Marta Halina (Uni Cambridge) Prediction, Explanation, and AI in Scientific Practice.

19:00 Conference Dinner at Freistil (covered)

09:00-09:15 Welcome 

09:15-10:00 Atoosa Kasirzadeh (Uni Edinburgh) On the performativity of machine learning models.

10:15-11:00 Joscha Bach (Liquid Ai) Vectors of intelligence: how can we evaluate the capabilities of multimodal foundation models in the coming years?

11:15-12:00 Alex Mussgnug (Uni Edinburgh) Conceptual Engagement in Machine Learning: Operationalism in Social Science Applications.

12:15-13:00 Lunch

13:00-13:45 Kino Zhao (Simon Fraser University) What Counts as Good Data?

14:00-14:45 Juan Luis Gastaldi (ETH) The Language of Mathematics: Epistemological Consequences of the Application of Neural Models to Mathematical Knowledge.

14:45-15:30 Coffee Break

15:30-16:15 Claire Vernade (Uni Tübingen) Lifelong Statistical Testing.

16:30-17:15 Emma Pierson (Cornell) Using Machine Learning to Increase Equity in Healthcare and Public Health.

19:00 Dinner at 1821 (self-pay)

09:00-09:15 Welcome

09:15-10:00 Mariya Toneva (MPI Saarbrücken) Why do large language models align with human brains?

10:15-11:00 Katie Creel (Northeastern) Why is Homogenization Bad?

11:15-12:00 Tianqi Kou (Penn State) Reconceptualizing Machine Learning Replicability.

12:00-13:00 Lunch

13:00-13:45 Daniel Alexander Herrmann (Groningen) Interpersonal Comparisons of Utility: A Conventional Take.

14:00-14:45 Bojana Grujičić (MPSCog, HU, UCL) Representational Similarity Analysis Underdetermines Similarity of Object Recognition  Mechanisms in Deep Neural Networks and the Brain.

15:00-15:45 Frederik Eberhardt (Caltech) Learning an Index of Economic Complexity.

15:45-16:00 Closing remarks.

19:00 Dinner at El Pecado (self-pay)