I research human-centric dynamical systems that operate far-from-equilibrium.
My work intends to help improve tools and techniques that predict outcomes of policies and practices in socially situated, real-world environments.
A brief introduction – Reed 2019 
Human-centric complex systems are often best modeled as interconnected nodes in the form of networks, where each vertex represents a person or resource at a single point in time. These are dynamical systems by virtue of varying initial conditions, non-linear processes, individual learning, and interaction among agents. Consequently, these systems operate far from equilibrium, co-evolve in their eco-systems, and display emergent outcomes.
