The Sociality, Performance, Informatics, Complexity, and Equity Lab studies human behavior, interaction, and phenomenological experience (often with a social justice or quality-of-life/well-being focus) from a complex systems perspective.
Most of the questions we ask synthesize understanding by integrating and borrowing from social, industrial-organizational, health, and/or quantitative psychology. Projects are often student-directed and we collaborate with scientists from other academic or organizational entities and actively seek opportunities to do interdisciplinary work.
We use computational strategies (e.g., agent-based modeling, machine learning, dynamical systems modeling, network/graph theory) to represent, simulate, and probe complex systems that emerge from theoretical conceptualizations of attitudes, perception/action/cognition systems, social interaction, and group dynamics.
In the lab, we most often employ virtual reality, motion tracking (body, eye, mouse), physiology (electrodermal response, heart beat dynamics), and traditional psychological measures to study basic science questions, explain human behavior, and/or test predictions derived from simulated or modeled (sometimes “big”) data.