Program
Program
29 June 2026 (Monday)
08:00Registration open
09:00-09:15 Opening
09:15-10:15 PS01: Alessandro Rinaldo
10:15-10:45 Coffee Break
10:45-12:25 Contributed Sessions
CS01 – Environmental and Agricultural Applications
CS02 – Interactive Visualisation and Statistical Software
CS03 – Clustering and Methods for Clustered Data
12:25-14:00 Lunch
14:00-15:30 Invited Sessions
IS01 – Dynamic Network Modelling
IS02 – Dependence in multivariate settings
15:30-16:00 Poster Session and Coffee Break
16:00-17:30 Invited/Organized Sessions
IS03 – Scalable likelihood-based inference for complex statistical models
OS01 – Modern AI/ML for Clinical Evidence and Decision Support
OS02 – Advances in mixture modeling and model-based clustering
20:00-22:00 Welcome party
30 June 2026 (Tuesday)
08:00 Registration open
09:00-10:00 PS02: Catherine Matias
10:00-10:30 JDSSV award
10:30-11:00 Coffee Break
11:00-12:40 Contributed Sessions
CS04 – Causal Inference, Graphical and Network Models
CS05 – Computational and Algorithmic Advances
CS06 – Distance and Classification
12:40-14:00 Lunch
14:00-15:30 Invited Sessions
IS04 – Modern Causal Inference
IS05 – Visualization meets data science and statistics
15:30-16:00 Poster Session and Coffee Break
16:00-17:30 Invited Sessions
IS06 – Advances in latent variable modelling
IS07 – AI, Statistics, and Visualization
19:30-22:00 Social dinner
01 July 2026 (Wednesday)
08:30 Registration open
09:00-10:00 PS03: Menna El-Assady
10:00-10:30 Coffee Break
10:30-11:10 Contributed Sessions
CS07 – Dimension Reduction Methods
CS08 – Microbiome Data Analysis
CS09 – Bayesian Model Selection
11:10-12:40 Invited Sessions
IS08 – Some Data Science, some Statistics and some Visualisation
IS09 – Complex Modelling and Robustness
12:40-12:50 Closing
12:50-14:00 Lunch