Computer models, or simulators, have become a commonplace way to study physical systems in areas such astronomy, climate, disease propagation, epidemiology, and engineering. In recent years, attention has turned to how to use the simulators in real-world situations, how to combine simulations with field data or other models to build predictive models, and how to quantify uncertainty in predictions. The need for new statistical methodology for inference using computational models is pressing. The session will be of broad interest because of the variety of applications and methods. Indeed, all talks are impactful insofar as they create new methods for real-world applications in epidemiology, climate, and hurricane tracking.