Michael Stein University of Chicago I will review work on model estimation and prediction for Gaussian processes in spatial statistics, touching on asymptotic statistical theory and computation for large, irregularly sited spatial datasets. I will then discuss what relevance this work might have for the use of Gaussian processes for emulation of deterministic computer models, with, where possible, references to many particle systems.