Abstract: The characterization and quantification of uncertainties are fundamental activities in engineering design, often carried out within the framework of probability theory. While probability theory is successful for capturing aleatory uncertainties, it imposes too strict assumptions when dealing with epistemic uncertainty. In this talk I will present recent developments in methodologies for dealing with epistemic uncertainty in uncertainty quantification, sensitivity analysis, optimization under uncertainty, and risk analysis with an application to fusion power plant design.