Abstract: Statistical sampling is the process of selecting a subset from a population with the aim of estimating population-level properties. For uncertain natural or engineered systems governed by partial differential equations, sampling presents a computational bottleneck, since the per-sample cost is high. We discuss several strategies for enhancing the sampling efficiency for both the prediction and control of these systems.