Performing accurate and predictive numerical simulations requires models which have been carefully calibrated and validated with respect to experimental observations. The goal of this mini-symposium is to present, in both deterministic and stochastic (Bayesian) contexts, recent fundamental advances in inverse methods in regards to innovative and powerful numerical approaches which emerged recently.