Uncertainty quantification (UQ) is a scientific methodology used to determine and reduce uncertainties in both computational and real-world systems, enhancing the reliability of predictions and decision-making processes. It involves the integration of statistical, mathematical, and computational techniques to model and analyze the impact of input uncertainties on system outputs.