|Peter Dodds (Director) website
Professor, Mathematics and Statistics
Dodds’ research focuses on system-level, big data problems in many fields including sociology, geomorphology, biology and ecology. His major current funding is an NSF CAREER award to study sociotechnical phenomena (2009-2014). Together with Chris Danforth, he co-runs the Computational Story Lab.
CSYS/MATH 300 (Principles of Complex Systems)
CSYS/MATH 303 (Complex Networks)
|Joshua Bongard (Associate Director) website
Associate Professor, Computer Science
Bongard’s work focuses on understanding the general nature of cognition, regardless of whether it is found in humans, animals or robots. This unique approach focuses on the role that morphology and evolution plays in cognition. Addressing these questions has taken him into the fields of biology, psychology, engineering and computer science.
CS/CSYS 206 (Evolutionary Robotics)
|Chris Danforth (Associate Director) website
Flint Professor of Mathematical, Natural, & Technical Sciences Department of Mathematics and Statistics
Danforth is an applied mathematician interested in modeling a variety of physical, biological, and social phenomenon. He has applied principles of chaos theory to improve weather forecasts as a member of the Mathematics and Climate Research Network, and developed a real-time remote sensor of global happiness using messages from Twitter: the Hedonometer. Danforth co-runs the Computational Story Lab with Peter Dodds, and helps run UVM’s reading group on complexity.
CSYS/MATH 266 (Chaos, Fractals, and Dynamical Systems)
|Paul Hines website
Associate Professor, School of Engineering
Hines’ work broadly focuses on finding ways to make electric energy more reliable, more affordable, with less environmental impact. Particular topics of interest include understanding the mechanisms by which small problems in the power grid become large blackouts, identifying and mitigating the stresses caused by large amounts of electric vehicle charging, and quantifying the impact of high penetrations of wind/solar on electricity systems.
CSYS/EE 395 (AST: Optimization in Engineering)
|Margaret (Maggie) Eppstein website
Chair & Associate Professor, Department of Computer Science
Coordinator, Certificate of Graduate Study in Complex Systems
Eppstein’s research interests involve developing and applying complex systems methods (including evolutionary and agent-based computation, artificial neural networks, and complex network methods) to problems in a variety of biological, environmental, technological, and sociological domains.
Founding Director of the Vermont Complex Systems Center.
CSYS/CS 302 Modeling Complex Systems
CSYS/CS 352 Evolutionary Computation
|James Bagrow website
Assistant Professor, Mathematics and Statistics
Bagrow’s interests include: Complex Networks (community detection, social modeling and human dynamics, statistical phenomena, graph similarity and isomorphism), Statistical Physics (non-equilibrium methods, phase transitions, percolation, interacting particle systems, spin glasses), and Optimization(glassy techniques such as simulated/quantum annealing, (non-gradient) minimization of noisy objective functions).
MATH 195 Data Science and Visualization
|Yves Dubief website
Associate Professor, School of Engineering
Dubief has been developing and collaborating research programs in turbulence control by complex fluids, flow-surface interactions with application to erosion and ablation by turbulent flows, biophysics of blood coagulation under flow and lubrication in articular joints.
Tivnan, a UVM Complex Systems Center affiliate, is the Burlington site leader and chief engineer in the Modeling & Simulation Department for the MITRE Corporation, a not-for-profit organization that manages federally funded research and development centers, partnering with government sponsors to support their crucial operational missions. His current research interests include the study of conflict and quantitative finance.
|Andrea Elledge (Associate Director of Operations)|
The Roboctopus is our secret overlord joyfol mascot.The Roboctopus is a real, non-pantomime octopus inside an advanced robot suit designed for supermarine activities.The Roboctopus is an avid proponent of the sciences of all complex systems, with a personal interest in those found in biology, engineering, the sociotechnocene, distributed computing (neurons in tentacles), big data, and mollusks.The Roboctopus is well adapted to Vermont and enjoys skiing and building Snowboctopuses.