Uncertainty quantification is a research area that focuses on effectively characterizing and managing uncertainty in mathematical models and simulations. This field seeks to understand how uncertainty in input parameters or model assumptions can impact the reliability and accuracy of predictions or outcomes. By quantifying and accounting for uncertainty, researchers aim to improve the robustness and reliability of their models, make more informed decisions, and better assess the risks associated with different scenarios. Uncertainty quantification is commonly used in a wide range of fields including engineering, finance, environmental science, and medical research.