Jonathan Butner

University of Utah


Jonathan Butner is trained as a traditional social and quantitative psychologist from the Arizona State University, but has spent his career integrating systems concepts with behavioral data analytic techniques and methodologies. He publishes broadly including attractor dynamics in health outcomes, on the application of cusp catastrophe models to budget overruns at NASA, the fractal nature of conversations, soft-assembly models of diabetes management in adolescents, and the coordination of affect among couples. Striving to work with data collected through lab and field experiments, he has expanded the literature on modeling nonlinear and coupled attractor dynamics both with and without oscillatory components. He specializes in how to adapt common statistical approaches such as Regression, Multilevel Modeling, and Structural Equation Modeling, but also experiments with systems specific time series approaches including a variety of fractal analytic techniques (DFA, Wavelet, Spectral Analysis), dimensionality estimates (FNN, Correlation Dimension), and nonlinear tests of causality (Convergent Cross Mapping).