Center for Collective Dynamics of Complex Systems at Binghamton University

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.

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

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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.

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 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)

Projects:
   ◦ 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. Ziang Zhang

ECE, Binghamton University
From Kuramoto Oscillators to Synchronous Generators, Searching the Regions of Attraction of Networked Nonlinear Systems
(August 29, 2018)
[Flyer] [Video] [Slides]

Dr. Bing Si

SSIE, Binghamton University
[CoCo/Data Science TAE Joint Seminar] Data Fusion and Statistical Learning in Healthcare Systems: From Diagnosis to Care to System-Level Decision-Making
(October 10, 2018)
[Flyer] [Video]

Dr. Jerome Niyirora

Health Information Management, SUNY Polytechnic Institute
Network Analysis of Medical Care Services
(October 24, 2018)
[Flyer] [Video]

Dr. Saray Shai

Computer Science, Wesleyan University
Topology and Geometry of Urban Road Networks
(November 7, 2018)
[Flyer] [Video]

Dr. Emrah Akyol

ECE, Binghamton University
Bayesian Signaling Games and Their Applications to Misinformation Spread over Networks
(November 14, 2018)
[Flyer] [Video]

Dr. Ashwin Vaidya

Mathematical Sciences, Montclair State University
Creativity as an Emergent Property of Complex Educational System (4-5pm, 11/27) [Flyer]
Complex Dynamics of Protein Aggregation in Alzheimer's Disease (11am-12pm, 11/28) [Flyer]

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.





 
 
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