The ability to conduct fast and reliable simulations of dynamical systems is of special interest to Army operations. Because such simulations can be very complex and involve millions of variables, it can be prohibitive in CPU time to run repeatedly on many different configurations. Reduced-Order Modeling (ROM) provides a concrete way to handle such complex simulations using a realistic amount of resources. However, uncertainty is hardly taken into account. Changes in the definition of a model for instance could have dramatic effects on the outcome of simulations.