Sobol Indices are a variance-based method used in global sensitivity analysis to quantify the contribution of input variables to the output variability of a mathematical model. They provide a comprehensive measure of sensitivity by considering both individual effects and interaction effects among input variables, offering insights into model behavior and uncertainty propagation.