Winter School in Network Data Science and Artificial Intelligence

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dal 09 al 13 février 2026

Lugano, East Campus USI-SUPSI

La PhD School in Applied Data Science and Artificial Intelligence USI-SUPSI organizza una settimana di formazione avanzata dedicata alle più recenti metodologie statistiche, computazionali e di machine learning per l’analisi di dati dinamici, relazionali e spaziotemporali.

  • 12:00 - 13:00 Accoglienza
     
  • 13:00 - 16:00 Workshop
    Introduction to Relational Event Models
    Melania Lembo, Martina Boschi
     
  • 16:00 - 16:30 Pausa Caffé
     
  • 16:30 - 17:15 Keynote Lecture
    Causale Relational Event Models
    Veronica Vinciotti
     
  • 17:15 - 19:00 Aperitivo

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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 Pausa Caffé
     
  • 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 Pausa pranzo
     
  • 14:00 - 16:45 Workshop
    All You Need to Know about Relational Hyper-event Modeling
    Martina Boschi, Melania Lembo
     
  • 16:45 - 17:15 Pausa caffé
     
  • 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 Attività
     
  • 12:30 - 14:00 Pausa pranzo
     
  • 14:00 - 17:00 Presentazioni PhD

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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 Pausa caffé
     
  • 11:00 - 12:30 Tutorial
    Graph Deep Learning for Time Series and Spatiotemporal Data - part 2
    Daniele Zambon
     
  • 12:30 - 14:00 Pausa pranzo
     
  • 14:00 - 15:30 Tutorial
    Learning dynamical systems from data - part 1
    Manas Mejari
     
  • 15:30 - 16:00 Pausa caffé
     
  • 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 Pausa caffé
     
  • 11:30 - 12:30 Keynote Lecture
    Building Context-Aware Foundation Models for Time Series Forecasting
    Abdul Fatir Ansari
     
  • 12:30 - 14:00 Pausa pranzo e chiusura

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Maggiori dettagli sulle attività saranno disponibili prossimamente.

È possibile iscriversi entro il 31 gennaio 2026. Le studentesse e gli studenti di dottorato iscritti alla Scuola di dottorato in Data Science e Intelligenza Artificiale, così come i dottorandi di USI e SUPSI, possono registrarsi gratuitamente. Per partecipanti esterni è previsto un costo di CHF 200.

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