Events Archive

MCML Event  •  27.11.2025  •  Ludwig-Maximilians-Universität München Geschwister-Scholl-Platz 1 80539 München Germany

10:00 am - 1:00 pm

MCML General Assembly

Open for All MCML Members

We are pleased to invite all MCML members to the 2025 MCML General Assembly. The assembly will feature updates from the MCML leadership, presentations from our junior members, and opportunities for networking and discussion.

AI Keynote Series  •  20.11.2025  •  Online via Zoom

4:00 pm - 5:30 pm

Distilling Heterogeneous Treatment Effects: Stable Subgroup Estimation in Causal Inference

Melody Huang, Political Science and Statistics & Data Science, Yale University

Recent methodological developments have introduced new black-box approaches to better estimate heterogeneous treatment effects; however, these methods fall short of providing interpretable characterizations of the underlying individuals who may be most at risk or benefit most from receiving the treatment, thereby limiting their practical utility. In …

Workshop  •  17.11.2025 - 18.11.2025  •  München City & TUM Campus Garching

5:00 pm - 5:00 pm

GirlsLAB@TUM: Maker Day MINT‑Impulse

Exploring Coding, Chemistry, and Creativity at TUM.

The GirlsLAB@TUM invites schoolgirls aged 10 and up to explore the world of science and technology through hands-on experiments and creative workshops. Organized as part of the MINT-Impulse initiative, the event encourages girls to discover their curiosity for STEM and experience how exciting innovation can be. Participants will work on small …

Workshop  •  14.11.2025  •  Munich, Germany, near the main buildings of LMU Munich and the Technical University of Munich.

The Data & AI Ethics Workshop

An EPIX Workshop

The Data & AI Ethics Workshop looks at how data-driven research and AI are reshaping questions of fairness, transparency, and accountability. Researchers from statistics, machine learning, philosophy, and the social sciences will share insights and open up space for cross-disciplinary discussion. Organised by LMU’s Data Ethics Initiative and …

AI Keynote Series  •  13.11.2025  •  Online via Zoom

12:00 pm - 1:30 pm

Personalized Care Through Causal & Federated Learning: From Data to Decisions

Julie Josse, French National Institute for Research in Digital Science and Technology (Inria)

Generalization methods offer a powerful solution to one of the key drawbacks of randomized controlled trials (RCTs): their limited representativeness. By enabling the transport of treatment effect estimates to target populations subject to distributional shifts, these methods are increasingly recognized as the future of meta-analysis, the current …

Colloquium  •  12.11.2025  •  LMU Department of Statistics and via zoom

4:15 pm - 5:45 pm

Causal Inference Based on Machine Learning for Complex Longitudinal Exposures

Iván Diaz and Herb Sussman, New York University

Colloquium of the Department of Statistics with Iván Diaz and Herb Sussman from the New York University about Causal Inference Based on Machine Learning for Complex Longitudinal Exposures.