Scheduled presentations:

• Space-Time Goal Oriented Error Estimation and Adaptivity for Discretization and Reduced Order Modeling Errors
  *J. Roth (Leibniz Universität Hannover), H. Fischer (Leibniz Universität Hannover), J. Thiele (Leibniz Universität Hannover), U. Köcher (Helmut Schmidt University), A. Fau (ENS Paris-Saclay), L. Chamoin (ENS Paris-Saclay), T. Wick (Leibniz Universität Hannover)
• Generation of Massive Databases for Deep Learning Inversion: A Goal-Oriented $hp$-Adaptive Strategy
  J. Alvarez-Aramberri (University of the Basque Country (UPV-EHU)), V. Darrigrand (CNRS-IRIT), *F. Caro (Basque Center for Applied Mathematics (BCAM)), D. Pardo (University of the Basque Country (UPV-EHU))
• Elliptic reconstruction and a posteriori error estimates for the parabolic partial differential equations with small random input data
  N. Shravani (BITS-Pilani Hyderabad Campus), *M. Reddy (BITS-Pilani Hyderabad Campus)
• A posteriori error estimates for the Crank-Nicolson method: application to parabolic partial differential equations with small random input data
  *S. Nakidi (BITS-Pilani Hyderbad Campus), M. Reddy (BITS-Pilani Hyderbad Campus), M. Vynnycky (University of Limerick)
• Error control and propagation in Adaptive Mesh Refinement applied to elliptic equations on quadtree/octree grids
  *L. Prouvost (d'Alembert (Sorbonne Universite, CNRS)), A. Belme (d'Alembert (Sorbonne Universite, CNRS)), D. Fuster (d'Alembert (Sorbonne Universite, CNRS))
• Multiscale Finite Element approaches: error estimations and adaptivity for an enriched variant
  *F. Legoll (ENPC and Inria)