Numerous recent advances in the Earth sciences are driven by developments in seismology, and specifically in numerical simulations, forward and inverse modeling theories, and growing computational resources. To promote further progress, this session offers a platform for theoretical and computational advances in seismology.

We welcome innovative contributions dealing with novel and creative approaches to more accurate and faster forward modeling, the efficient solution of (nonlinear) inverse problems, and methods that enable the exploitation of massive emerging data volumes. Of particular interest are contributions on the joint inversion of disparate datasets, multi-scale or multi-parameter tomography, effective medium theory, uncertainty analysis, machine learning for data mining and inversion, novel concepts in seismic interferometry, as well as the exploitation of emerging hardware solutions.