The USI-SUPSI PhD School in Applied Data Science and Artificial Intelligence, from 9 to 13 February 2026 organizes a week of advanced training dedicated to the latest statistical, computational, and machine learning methodologies for the analysis of dynamic, relational, and spatiotemporal data.
Winter School in Network Data Science and Artificial Intelligence - PhD School
- 12:00 - 13:00 Welcome Reception
- 13:00 - 16:00 Workshop
Introduction to Relational Event Models
Melania Lembo, Martina Boschi
- 16:00 - 16:30 Coffee Break
- 16:30 - 17:15 Keynote Lecture
Causale Relational Event Models
Veronica Vinciotti
- 17:15 - 19:00 Apero
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- 09:00 - 09:45 Keynote Lecture
Assessing the fit of Relational Event Models: A Simulation-based Approach Accounting for Temporal Structure
Viviana Amati
- 09:45 - 10:30 Keynote Lecture
Scalable Durational Event Models: Application to Physical and Digital Interactions
Cornelius Fritz
- 10:30 - 11:00 Coffee Break
- 11:00 - 11:45 Keynote Lecture
Not All Bonds Are Created Equal: Dyadic Latent Class Models for Relational Event Data
Joris Mulder
- 11:45 - 12:30 Keynote Lecture
Modeling Social Networks with Changeable Nodes
Alessandro Lomi
- 12:30 - 14:00 Lunch Break
- 14:00 - 16:45 Workshop
All You Need to Know about Relational Hyper-event Modeling
Martina Boschi, Melania Lembo
- 16:45 - 17:15 Coffee Break
- 17:15 - 18:00 Keynote Lecture
What and Whom Do We Cite? Relational Hyperevent Models for Citation Networks
Jürgen Lerner
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- 09:00 - 12:30 Social Activity
- 12:30 - 14:00 Lunch Break
- 14:00 - 17:00 PhD Presentations
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- 09:00 - 10:30 Tutorial
Graph Deep Learning for Time Series and Spatiotemporal Data - part 1
Daniele Zambon
- 10:30 - 11:00 Coffee Break
- 11:00 - 12:30 Tutorial
Graph Deep Learning for Time Series and Spatiotemporal Data - part 2
Daniele Zambon
- 12:30 - 14:00 Lunch Break
- 14:00 - 15:30 Tutorial
Learning dynamical systems from data - part 1
Manas Mejari
- 15:30 - 16:00 Coffee Break
- 16:00 - 17:30 Tutorial
Learning dynamical systems from data - part 2
Manas Mejari
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- 09:00 - 10:00 Keynote Lecture
Privacy-aware Probabilistic Graphical Models
Cassio de Campos
- 10:00- 11:00 Keynote Lecture
From Theory to Practice: Overcoming the Real-World Challenges of Reinforcement Learning
Marcello Restelli
- 11:00 - 11:30 Coffee Break
- 11:30 - 12:30 Keynote Lecture
Building Context-Aware Foundation Models for Time Series Forecasting
Abdul Fatir Ansari
- 12:30 - 14:00 Lunch Break and Closing
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More details about the activities will be available soon.
Registration is open until 31 January. PhD students enrolled in the PhD School in Data Science and Artificial Intelligence, as well as PhDs from USI and SUPSI, can register free of charge. External participants are subject to a CHF 200 fee.