Uncertainty quantification: Making predictions of complex reaction systems reliable

► A predictive model must satisfy numerous experimental and theoretical constraints. ► Most current methods for problems of high dimension invoke approximations. ► Data Collaboration, a method of uncertainty quantification, deals effectively with these constraints. ► The analysis shows that seemingly 'harmless' methodological approximations could lead to substantial differences in the accuracy of model predictions.