Computational models associated with the mechanics of materials and structures are increasingly utilized to guide engineering decision-making. However, despite the increasing sophistication of such models, they are rarely sufficiently tested to yield suitably accurate, quantitative results for which the level of uncertainty has been adequately quantified. In this regard, inadequate verification and validation (V&V) and uncertainty quantification (UQ) practices can mask large errors and/or lead to misinterpretation of model limits, which can in turn lead to production delays, costly redesign, catastrophic failure, and even loss of life. Thus, on behalf of the National Science Foundation, The Minerals, Metals & Materials Society has led a science and technology accelerator study on Accelerating the Broad Implementation of Verification & Validation in Computational Models of the Mechanics of Materials and Structures. This presentation will provide some key highlights from that study, with a particular focus on the section on recommended V&V/UQ practices.