Winter School in Network Data Science and Artificial Intelligence

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from February 09th to 13th, 2026

Lugano, Campus Est USI-SUPSI

The USI-SUPSI PhD School in Applied Data Science and Artificial Intelligence 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.

  • 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.

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