As technology advances, so does the cost (both time and energy) of experimental design. For certain classes of problems (e.g. radar propagation, fluid flow, heat dispersion, structural modeling), in which the observed phenomena is well-understood and accurately modelled via the equations of classical mathematical physics, design by simulation can mitigate some of the costs associated with purely experimental design. However, in order to do this, advances in both the mathematical formulation of the problem and the computational algorithms used in their solution are needed. This workshop brings together experts in various fields of mathematics and computation to develop next-generation computational tools and algorithms that will bridge the gap between design by experiment and design by simulation.