The expansion of construction projects in seismic regions with poor soil conditions and the vast legal and financial implications of faulty geotechnical information have led stakeholders to call for faster, cheaper, and more reliable characterization of geomaterials under dynamic conditions. This minisimposium will focus on the latest advancements in experimental and numerical techniques that enable the comprehensive understanding of the dynamic behavior of geomaterials. Contributions presenting state-of-the-art and innovative experimental methods, including advanced laboratory and field testing methods and equipment are welcomed. Artificial intelligence-based topics leading to the dynamic characterization of geomaterials based on long-term monitoring and data mining are also aligned with this minisimposium. Moreover, this session will focus on numerical modeling and simulation techniques for dynamic characterization. Contributions may explore advanced computational methods, numerical optimization and model identification algorithms specifically tailored for geotechnical applications. As experimental methods may involve considerable uncertainty, both in terms of testing setup and interpretation of the results, coupled (or hybrid) approaches have recently been proposed. Numerical models of the experiment may be used to get a better understanding of the complex wave propagation patterns or, conversely, experimental techniques may be used to calibrate constitutive models or establish empirical laws that improve the capability of numerical models to accurately represent the experiment. Coupled approaches are particularly welcomed.