Our laboratory is currently exploring interactions between perceptual and conceptual learning, methods for learning concepts using computer simulations, decision making, mathematical cognition, collective behavior, and the application of cognitive science for improving learning outcomes. Our typical modus operandi is to simultaneously conduct psychological experiments on humans and develop computational models of the observed behavior. The results from the experiments help to constrain and inform our computational models, and the computational models serve to organize and explain our empirical results.