The accurate prediction of hypersonic flow physics requires rigorous Verification, Validation, and Uncertainty Quantification (VVUQ) to establish credibility and guide model improvements. This minisymposium will bring together researchers and practitioners to address emerging challenges in VVUQ for computational fluid dynamics (CFD) modeling of hypersonic regimes, including strong shock–boundary layer interactions, high-temperature gas and gas-surface interaction effects, and transition to turbulence. Topics will include numerical verification, experimental validation strategies, assessment of model-form uncertainty, and statistical inference methods tailored to extreme flow conditions. The goal of this minisymposium is to foster interdisciplinary discussion on best practices, innovative methodologies, and pathways to integrate VVUQ into the design and analysis of hypersonic systems. The research topics of this minisymposium are focused on Bayesian inference and data assimilation for hypersonic model calibration, code verification and solution verification for hypersonic CFD, optimal design of experiments, uncertainty propagation in coupled fluid–thermal–structural simulations, and VVUQ workflows for complex multi-physics simulations. Emerging topics that use AI and Machine Learning to advance research in these areas are also welcome.