Model verification and validation (V&V) are enabling technologies used to quantify the accuracy of results from computational models that inform engineering decisions. Model V&V procedures are needed by government and industry to reduce the time, cost, and risk associated with full-scale testing of products, materials, and complex systems. Quantifying the accuracy of model calculations provides the decision-maker with the information necessary for making high-consequence decisions. The development of guidelines and procedures for conducting model V&V is currently being defined by a broad spectrum of researchers. ASME has been developing engineering standards on the topics of verification, validation, and uncertainty quantification (VVUQ) since about 2002. Standards are in development in many engineering areas: Computational Heat Transfer and Fluid Dynamics, Computational Solid Mechanics, Computational Simulation of Nuclear System Thermal Fluids Behavior, Computational Modeling of Medical Devices, Computational Modeling for Advanced Manufacturing, Computational Modeling for Energy Systems, and Machine Learning. I will present an overview of VVUQ standards development as a part of ASME Codes and Standards (C&S). Standard development relies on volunteers to contribute and develop content in the various technical areas. This talk is intended to make the engineering community aware of VVUQ standards that have been published by ASME. I shall overview the various published standards, providing a description of the scope, content, and guidance of each document. In addition, examples will be discussed. ASME wants to solicit folks to join the committees developing VVUQ standards and provide feedback on the use and needs for the current and future standards. A group of ASME members from industry, academia, and national labs initiated a volunteer effort to merge the uncertainty analysis activities of the experimental and computational communities. The objective was to provide a methodology by which a quantitative assessment could be made about validation of computational software for fluid dynamics and heat transfer (ASME V&V 20-2009 [1]). The elements identified as necessary for validation include A) code verification and solution verification, B) effect of input parameter uncertainty on simulation uncertainty, C) uncertainty of an experimental result, and D) a metric by which experimental and simulation uncertainties can be compared. It is important to understand