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.

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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


CoCo will be hosting the First Northeast Regional Conference on Complex Systems (NERCCS 2018)!!


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.

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




Roozbeh Salary

Industrial and Systems Engineering, Binghamton University
3D Printing As a Complex System
(August 30, 2017)
[Flyer] [Video]

Dr. Pamela Mischen

Public Administration, Binghamton University
Adaptive Capacity as Emergent Capacity
(September 20, 2017)
[Flyer] [Video]

Dr. Dane Taylor

Mathematics, University at Buffalo
[CoCo/DSTWG Joint Seminar] Centrality Analysis and Community Detection for Temporal and Multilayer Networks
(September 27, 2017, 11:00am-12:00pm)
[Flyer] [Video]

Dr. Genki Ichinose

Shizuoka University, Japan
[CoCo/EvoS Joint Seminar]
How Mutation Alters Fitness of Cooperation in Networked Evolutionary Games
(October 2 (Mon), 2017, 5:15-6:00pm in Science I 149)
[Flyer] [Video]

Dr. David Sloan Wilson

Evolutionary Studies Program, Binghamton University
Evolving the Future: A Multilevel Plan for Sustainable Living
(October 18, 2017)
[Flyer] [Video] [Slides]

Dr. James Dixon

Psychology / Center for the Ecological Study of Perception & Action, University of Connecticut
Rudimentary Perception-Action in Dissipative Structures
(November 1, 2017, 11:00am-12:00pm)
[Flyer] [Video]

Dr. Bill Rand

Marketing, North Carolina State University
[CoCo/DSTWG Joint Seminar] Using Big Data, Social Networks, and Agent-Based Modeling to Understand Information Diffusion
(November 7 (Tue), 2017, 2:00-3:00pm)
[Flyer] [Video]

Drs. Sucheta Soundarajan & Reza Zafarani

EECS, Syracuse University
Attributed Networks, Network Representation, and the Hierarchical Structure of Networks
(November 14 (Tue), 2017, 2:00-3:00pm)
[Flyer] [Video]

Farnaz Zamani Esfahlani

Systems Science, Binghamton University
Schizophrenia As a Complex System: Insights from Network Science
(November 29, 2017)
[Flyer] [Video]

Catherine Cramer & Dr. Stephen Uzzo

New York Hall of Science
[CoCo/EvoS Joint Seminar]
The Third Task: Adventures in Complexity Literacy and Learning
(December 4 (Mon), 2017, 5:15-6:00pm in Science I 149)
[Flyer] [Video]

 
 
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