Improvements in instrumentation, computation, and analysis techniques are creating new opportunities to refine our understanding of crustal stress and geologic structure, including their relationships through time. From Distributed Acoustic Sensing (DAS) to satellite remote sensing, modern geophysical datasets provide a wealth of information feeding modern learning algorithms designed for discovery of new patterns and signals. While traditional models have provided useful descriptions of the bulk crustal response to applied stress, strain accumulates through a variety of processes, generally anisotropically across a multitude of scales that have proven difficult to integrate. The development of crustal structure is intimately related to the evolution of crustal stress, fault dynamics, and the presence of fluids, with important implications for earthquake hazards, carbon sequestration, and hydrocarbon production. This session solicits contributions that utilize all types of observational and theoretical constraints, and numerical methods to refine our understanding of crustal stress and structure at depth.