Welcome coffee and registration

Introduction

Keynote talk - Time: The next frontier in Machine Learning

Safeguarding privacy in a data-intensive society

Coffee break

A research infrastructure for science with extreme-scale data and computing needs

Social Robots: State of the art in research and what is still missing?

Standing lunch

Poster session I

Robotics: when do we need AI and when not

A Formal Perspective on Language Modeling

Using prior knowledge to augment data-driven predictions in biomedicine

Apéro, networking & poster session II

Keynote talk - Hybrid and causal machine learning in the Earth sciences

Causal data science in psychiatric epidemiology

Coffee break

Atmospheric physics-guided machine learning for climate modeling and weather forecasting

Decoding the brain with machine learning

Standing lunch

Poster session III

Counterfactual inference made easy

Empowering data-driven science through ORD: the role of the Strategy Council

Infrastructure development for FAIR health data and its efficient use for data-driven research

Announcements

Short pause

Panel discussion: Challenges and strategies for a sustainable collaborative data science ecosystem in Switzerland

Closing