Independent of any particular application, there are fundamental relationships between information, uncertainty, and complexity that govern the transformation of data into useful decisions. Aspects of these relationships have been studied from various perspectives by different disciplines. IDeA Labs collects relevant ideas from any discipline and characterizes the fundamental processes and limitations inherent in making decisions from data. As a result, much of the application-relevant learning gained from the IDeA Labs feeds the theoretical development carried on by the research group, and its work then shapes the core curriculum for students as they prepare themselves to be accomplished problem solvers.