Robust Decision Making
Over the last decade RAND researchers have been at the forefront of developing new quantitative approaches to informing decisions under conditions of deep uncertainty. These Robust Decision Making methods seek to identify and assess policies that perform well over a wide range of plausible futures. Such robustness is often achieved through adaptivity, that is, evolving over time in response to new information. This course will introduce these robust decision making methods, situate them among a variety of approaches which address robustness and ambiguity in decision making, and present some applications of their use.