Invited talk: Armen Aghasaryan, Challenges and Opportunities for Causal Modeling of (Telco) Networks
[10:30-11:30] Invited talk: Hana Chockler, Causality and learning in software engineering
[11:30-12:00] Rebecca Bernemann, Barbara König, Matthias Schaffeld and Torben Weis, Hidden Markov Models with Unobservable Transitions
[12:00-12:15] Katherine Braught and Sayan Mitra, Structural and Sequential Cause in Hidden Markov Models
Invited tutorial: Hugo Araujo, Kaspar Causally Explains: Causal Explanation in an Assistive Robot for Children with Autism Spectrum Disorder
[16:30-17:30] Keynote (online): Joe Halpern, A Causal Analysis of Harm
[17:30-17:45] Severin Kacianka and Alexander Pretschner, Responsibility for Structural Causal Models
[17:45-18:00] Josephine Rehak, Alexander Falkenstein and Jürgen Beyerer, Metrics for the Evaluation of Discovered Causal Graphs using Ground Truth