Scheduled presentations:

• POD-ROM methods: from a finite set of snapshots to continuous-in-time approximations
  B. García-Archilla (Universidad de Sevilla), V. John (Weiersstrass Institute, Berlin), J. Novo (Universidad Autónoma de Madrid)
• Boosting POD and reduced basis projection using data augmentation: producing artificial plausible snapshots.
  *P. Díez (CIMNE)
• Reducing the computational cost of ocean modeling with data-driven ROM
  L. Besabe (University of Houston), M. Girfoglio (SISSA), *A. Quaini (University of Houston), G. Rozza (SISSA)
• Non-intrusive reduced-order modeling for dynamical systems with spatially localized features
  L. Gkimisis (Max Planck Institute Magdeburg), N. Aretz (Oden Institute for Computational Engineering), *M. Tezzele (Emory University), T. Richter (Otto-von-Guericke-Universitat Magdeburg), P. Benner (Max Planck Institute Magdeburg), K. Willcox (Oden Institute for Computational Engineering)
• Adaptive Localized Training and Enrichment based on a Residual Localization Strategy
  T. Keil (University of Münster), M. Ohlberger (University of Münster), F. Schindler (University of Münster), *J. Schleuß (University of Münster)
• Optimal budget management for multi-fidelity approaches combining numerical solvers and deep learning surrogates
  *P. Vitullo (MOX, Math Department, Politecnico di Milano), N. Franco (MOX, Math Department, Politecnico di Milano), P. Zunino (MOX, Math Department, Politecnico di Milano)