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The Sociality, Performance, Informatics, Complexity, and Equity Lab studies individual human behaviors, social interaction, and phenomenological experience (often with a social justice, quality-of-life, or health/well-being focus) from a complex systems perspective. The complexity approach argues that interacting processes or parts of a system give rise to phenomena that are more than the sum of their parts.
We use an interdisciplinary approach to synthesize understanding by using models and concepts from physics, economics, sociology, data science, kinesiology, and social, industrial-organizational, health, and/or quantitative psychology. Formally, we use mathematical and computational strategies (e.g., statistics, natural language processing, agent-based, dynamical systems, linear and non-linear modeling, machine learning, network/graph theory) to represent, simulate, and probe social systems to understand the antecedents, causes, and consequences of various phenomenon.
In the lab, students have access to cutting-edge technology such as: virtual reality, motion tracking (body, eye, mouse, emotion), physiology (electrodermal response, ECG, respiration), and custom-built high-performance computers. Projects are often student directed for theses, but ongoing research students can plug into immediately include examining the communication processes between doctors and patients that influence opioid prescription and health disparities, concussion assessment, diagnosis, and return to play procedures for D1 athletes, performance optimization and improving mental health for athletes, and the role of stigmatization in shaping individuals’ cognitive performance and social interactions.