Operations research (shortened "OR") is a field that focuses on developing math models to help folks make better decisions. This may include optimizing over different strategies or describing a complicated system.
Lots of options ("decision variables")
Lots of restrictions ("constraints")
Lots of uncertainty in what might happen ("stochasticity")
Lots of data ("parameters")
Adapting over time ("dynamic")
Multiple goals ("objectives")
Multiple decision-makers
Etc.
Operations research to the rescue! OR models can handle problems that are much too big for a human to solve. The trick is to work smarter, not harder. Just like you may have learned in Calc I that the quickest way to find the minimizer of a convex function is to solve for x when the derivative is equal to 0, there are advanced algorithms that help researchers and practitioners solve very complicated models of real-world systems.
The goal is to develop a good model that both: represents the real world problem you're trying to solve and can be solved in a reasonable time frame. By solving these models, the Tucker Research Group helps subject matter experts make better decisions.