This is a meeting between students of the track Mathematics for Data Science and FBK researchers

25 November 2025, 10:30-12:30, A218, Povo 1

Program

  • 10:30-10:45 Data Science for Health Research Unit (DSH)
    • Giuseppe Jurman, Monica Moroni, Marco Chierici: Data Science for Health @ FBK: assets & projects
  • 10:45-11:00 Data Science for Industry and Physics (DISP)
    • Gabriele Franch: The role of the loss function in deep learning models
  • 11:00-11:15 Remote Sensing for Digital Earth (RSDE)
    • Massimo Zanetti: Change analysis in remote sensing images
  • 11:15-11:45 Complex Human Behaviour Lab (CHuB)
    • Riccardo Gallotti: Social Data Analysis and Modelling Project description
    • Eleonora Andreotti: Hybrid Modal and Intermodal Hypergraphs for Urban Transportation Networks: Theory and Applications
      • Project description: Urban transportation systems are inherently multimodal, involving not only traditional public transit modes (bus, rail, metro) but also emerging sustainable and shared services such as bike sharing, scooter sharing, and car sharing. These diverse modes intersect at a variety of transfer hubs and urban spaces, where passengers can seamlessly switch between alternatives. Traditional graph-based approaches are well suited for modeling pairwise connections between stations or routes but are limited in capturing the higher-order interactions that naturally arise in intermodal hubs. Hypergraphs provide a richer mathematical framework, as they allow hyperedges to connect groups of nodes simultaneously. This project proposes to model transportation networks as hybrid modal and intermodal hypergraphs: modal hyperedges capture station–mode associations (e.g., a station served by bus or bike sharing), while intermodal hyperedges represent transfer opportunities among sets of modes within a station or urban hub (e.g., bus–train–metro–scooter interchanges). The study will proceed along two complementary directions. On the theoretical side, toy models and random hypergraphs will be used to investigate spectral properties of incidence and Laplacian matrices, aiming to understand the role of intermodality in connectivity and robustness. On the applied side, real-world data from a city such as Bologna will be used to construct a hybrid hypergraph of the multimodal and sustainable transportation system, enabling analyses of accessibility, resilience to disruptions, and comparative evaluation against classical graph models.
  • 11:45-12:15 FBK abroad
    • Thomas Louf (from Madrid): (Dis)information propagation on Telegram
      • Project description: Fake news have always propagated in our societies, but the increased connectedness brought by online social media has greatly amplified their reach. But what if disinformation flow on a social network had a distinctive temporal signature that could help us identify it? Or what if we could identify coordinated disinformative campaigns as deviations from a model of spontaneous/organic coordination? Here we aim to at least partially answer these questions on the network of Telegram channels, which has been vastly under-studied. The project can thus involve a mix of large data analysis, mathematical modeling of temporal networks, and numerical simulations.
    • Oriol Artime (from Barcelona) Dynamics of and on Complex Networks