With multifold increases in computational and sensing power, the technology is available to compare very high fidelity resolution of complex models of nature with very high resolution observations of these same phenomena. The resulting challenge to mathematics, science and technology, is to (re)define the new field of prediction science, where physics-based inferences can be used as useful surrogates of reality.
Central to this effort are the concepts of verification and validation (V&V) which, in recent years, have grown as the bridge between computational science, experimental science, statistics, and other branches of mathematics.

In this talk, I will describe current efforts in V&V, both at USC and elsewhere, highlighting opportunities and challenges.