Research Overview
The Decision, Risk, & Operations division is a world leader in Analytics, Operations and Management Science. It brings together a unique set of thought leaders with broad research interests. The division's research is typically focused on the development and analysis of quantitative and empirical models of business problems. These models are used, for example, to support decision-making within organizations, to measure and manage risks, and to enhance understanding of business practices. The division's research develops and builds on state-of-the-art methodologies from stochastic analysis, mathematical programming, game theory, probability, machine learning, statistics and econometrics. While the topics and application of the research can be broad, the group has a unifying culture of rigor and relevance.
The faculty is regularly recognized through the most prestigious distinctions and awards in the field including, for example, NSF CAREER awards, INFORMS and MSOM fellowships, the Frederick W. Lanchester Prize, the Saul Gass Expository Writing Award, the INFORMS impact prize, the Erlang Prize, the Revenue Management and Pricing Section award, the MSOM young scholar prize. The division maintains strong ties with Columbia’s School of Engineering and the Data Science Institute.