Center for Collective Dynamics of Complex Systems at Binghamton University


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.

CoCo is also the hosting organization of the US Northeast Chapter of the Complex Systems Society.

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

**New: CoCo CRISPIE, a student group of CoCo, has just launched!! Check out their website.**

You can support CoCo's research and educational activities by making donations! See more details

Get your CoCo merch at our RedBubble online shop! (No profit would come to CoCo; they are just for fun)

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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.


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 agent-based modeling of socio-economical dynamics of the Greater Binghamton area; modeling leadership, team performance and organizational decision making; and evolution of cooperative/competitive strategies in social systems.

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 modeling power grids as multiplex networks; distributed control mechanisms for adaptive power grids; and application of network analysis to psychological data.

Swarm Dynamics:The investigation of collective behavior and pattern formation in massive populations of biological or biomimetic autonomous agents. Current research topics include theoretical investigation of morphogenetic collective systems; design and evaluation of hierarchical heterogeneous particle swarm optimization; and automated modeling of termite behaviors.

Northeast Regional Conference on Complex Systems (NERCCS)

Northeast Journal of Complex Systems (NEJCS)

   ◦ Diversity, network structure, and the effectiveness of collective design and innovation
   ◦ Collective planning and leadership for the U.S. Army
   ◦ Network modeling and analysis of psychological/psychiatric data and processes
   ◦ Robustness and adaptation in morphogenetic collective systems
   ◦ Complexity measures and concept learning
   ◦ Evolutionary perspective on collective decision making
   ◦ Teaching social complexity and multidisciplinary team building
   ◦ Modeling and predicting state-topology coevolution of complex adaptive networks
   ◦ Self-organization of large-scale heterogeneous self-propelled particle swarms

Dr. Jordan Rozum

SSIE, Binghamton University
Shortest Paths and Distance Backbones in Multilayer Networks with Incomparable Layers
(January 25, 2023)
[Flyer] [Video]

Dr. Jayson Boubin

Computer Science, Binghamton University
Fully Autonomous Aerial Systems: Design, Implementation, and Applications
(February 8, 2023)
[Flyer] [Video]

Dr. Congyu (Peter) Wu

SSIE, Binghamton University
The Promises of Human-Centered Mobile Sensing
(February 22, 2023)
[Flyer] [Video]

Dr. Stephanie Tulk Jesso

SSIE, Binghamton University
Translation of Technology into Healthcare as a Wicked Problem
(March 8, 2023)
[Flyer] [Video]

Fuhe Jin

Management, Binghamton University
Leader Emergence in Virtual Work: Using Machine Learning to Explore Group Dynamics
(March 29, 2023)
[Flyer] [Video]

Dr. Salvatore Vilella

Computer Science, University of Turin, Italy
[Extra CoCo Seminar] Characterizing Segregation in Complex Social Systems Exploiting Data-Driven Approaches
(May 10, 2023)
[Flyer] [Video]

Contact Us

Contact Information

  • Hiroki Sayama, DSc, Director (Systems Science and Industrial Engineering)
  • Andreas Pape, PhD, Associate Director (Economics)
  • Center for Collective Dynamics of Complex Systems
  • Address: P.O. Box 6000, Binghamton, NY 13902-6000

Support CoCo

You can support CoCo's research and educational activities by making donations in the following steps:

  • 1. Go to Binghamton University's Giving Portal site.
  • 2. Select "CLICK HERE TO CHOOSE A FUND", and then select "Other".
  • 3. In "Special Instructions/Comments", enter "CoCo Support account #11153".

Donations can be made with Mastercard, VISA, Discover or American Express. Credit Cards will be billed in U.S. dollars. All donors will receive CoCo's annual reports and other publications/updates.

Missing a simple world? or academic silos? or a cancellation notice 1? 2? or NERDS 2021? or arrest on UB campus? or Color Computer?

© Copyright 2007-2023 Center for Collective Dynamics of Complex Systems, Binghamton University