This minisymposium aims to foster communication and discussion on recent developments and applications of novel multiscale computational and data-driven approaches for advanced materials and structures, covering a wide range of spatial and temporal scales. Recent progress in multiscale computational approaches has focused on constitutive modeling and the more comprehensive description of nonlinear deformation, physical failure, damage evolution, and environmental aging of advanced materials and structures (including nanoscale aggregates, mesoscale structures and segregations, and macroscale laminates). In particular, the reactive nature of materials’ behavior is investigated at extreme scales to establish structure property relationships. On the other hand, data-driven computational approaches have introduced an innovative paradigm shift in computational engineering, supported by the rapid growth of methodologies such as proper orthogonal decomposition, deep learning, and machine learning. Recent achievements in this area have demonstrated the potential to enhance the performance of multiscale computational modeling and simulations.