Center for
Collective Dynamics of
Complex Systems (CoCo)

[What is CoCo?] [What Are Complex Systems?]
[CoCo Seminar Series] [Research Foci] [Projects] [Contact Us]
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What Is CoCo?

CoCo is an interdisciplinary Organized Research Center (ORC) at Binghamton University that studies the collective dynamics of various types of interacting agents as complex systems. Its goals are to

  1. advance our understanding about the collective dynamics of physical, biological, social, and engineered complex systems through scientific research,

  2. promote interdisciplinary collaboration among faculty and students in different schools and departments, and

  3. translate the understanding to products and processes which will improve the well-being of people at regional, state, national and global scales.

With the active participation of  faculty members with diverse backgrounds, CoCo has been playing a key role in producing several new interdisciplinary research projects since 2007 as an informal research group. It officially became a designated ORC of the University on July 1st, 2015.

There is a mailing list run by CoCo for general discussions on complex systems. To subscribe, please contact Hiroki Sayama.

List of Faculty Participants

See news article on CoCo in the 2009 Binghamton University Research Magazine

What Are Complex Systems?

Complex systems are networks of many components with nonlinear interactions which arise and evolve through self-organization, such that the system is neither completely regular nor completely random, permitting the development of emergent behavior. These properties can be found in many real-world systems, e.g., gene regulatory networks in a cell, physiological systems, brains and other neural systems, food webs, stock markets, the Internet, and social networking systems. We study their structural/dynamical properties to obtain general, cross-disciplinary implications and applications.

CoCo Seminar Series: Spring 2015

Wednesday 8:30-9:30am
Engineering Building R-3 (SSIE Conference Room)
With refreshments; followed by free discussions

[Flyer in PDF]

February 4: Nasim Sabounchi (Systems Science and Industrial Engineering)
"System Dynamics Modeling As a Tool to Inform Health Policy"

February 18: Ziang (John) Zhang (Electrical and Computer Engineering)
"Distributed Energy Management Algorithms in Future Power Systems"
[Flyer] [Video]

March 4: Ning Zhou (Electrical and Computer Engineering)
"Oscillation Detection and Analysis in Power Systems"
[Flyer] [Video]

March 18: Prahalad Rao (Systems Science and Industrial Engineering)
"Graph Theoretic Approaches for Analysis of Dynamical Systems: Application to Manufacturing and Neurophysiology"
[Flyer] [Video]

April 1: Sung Hoon Chung (Systems Science and Industrial Engineering)
"Computational Sustainability: A Dynamic Game Approach" [Flyer]

April 15: Francis Yammarino (School of Management)
"Leadership, Levels, & NASA: Mars Mission" [Flyer] [Video] [Slides]

Also check out the schedule of EvoS Seminars

Past Seminars

Fall 2014 / Spring 2014 / Fall 2013 / Spring 2013 / Fall 2012 / Spring 2012 / Fall 2011 / Spring 2011 / Fall 2010 / Spring 2010 / Fall 2009 / Spring 2009 / Fall 2008

Video Archives

See also HotCoCo, informal meetings organized and run by CoCo students.

Research Foci

Social Dynamics: The utilization and extension of agent-based modeling, evolutionary theory, game theory, and network theory to model, analyze and improve the behaviors of social systems. Current research topics include group decision making dynamics, multi-level analysis of organizational behavior, strategies in social interactions, and models of local community interactions, as well as their application for the improvement of the heathcare systems in local community.

Network Dynamics: The utilization and extension of complex network theory to explore the connectivity between elements, growth and self-organization, and dynamical evolution of various complex networks. Current research topics include theoretical models of coevolutionary adaptive networks and social network analysis.

Swarm Dynamics: The investigation of collective behavior and pattern formation in massive populations of biological or biomimetic autonomous agents. Current research topics include decentralized control and interactive design methods for homogeneous and heterogeneous self-propelled particle swarms and the application of particle models for ecological systems.


Contact Us

Hiroki Sayama, DSc, Director (Systems Science and Industrial Engineering)
Andreas Pape, PhD, Associate Director (Economics)
Center for Collective Dynamics of Complex Systems
Binghamton University, State University of New York,

© Copyright 2007-2015 Center for Collective Dynamics of Complex Systems, Binghamton University