Soft materials comprise a diverse class of substances that are highly deformable and exceptionally sensitive to external stimuli. Many of these materials offer unique advantages, including biocompatibility, superior energy absorption, and the capacity to finely tune their mechanical properties. Such characteristics make them central to emerging technologies spanning biomedical engineering, flexible electronics, soft robotics, and energy harvesting. Understanding and predicting their mechanical response is crucial for the design of next-generation devices. Unlike traditional engineering materials (e.g., metals or ceramics) soft materials exhibit complex, nonlinear, and inelastic behaviors. These may include large deformations, viscoelasticity, plasticity, permanent set, anisotropy, and phenomena like the Mullins effect. Capturing these behaviors requires modeling strategies and computational techniques that extend beyond classical approaches. This symposium will assemble leading researchers in computational mechanics who are pushing the frontiers of soft material science and engineering. Topics will range from the formulation of robust constitutive models for nonlinear elasticity, rate-dependent responses, and irreversible effects, to the development of advanced numerical methods. These methods include higher-order discretization schemes, efficient constitutive integration algorithms, and multiphysics coupling frameworks. Emphasis will be placed on cutting-edge applications where computational innovations can accelerate design, optimization, and deployment. Examples include soft robotic actuators, biomedical devices, tissue scaffolds, adhesives, and drug delivery systems.