[What is CoCo?] [What Are Complex Systems?] [CoCo Seminar Series]
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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
advance our understanding about the collective dynamics of physical, biological, social, and engineered complex systems through scientific research,
promote interdisciplinary collaboration among faculty and students in different schools and departments, and
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 articles about CoCo:
- 2009 Binghamton University Research Magazine
- 2015 Binghamton University Discover-e
- 2015 BU Pipe Dream
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.
Engineering Building H-9 (Knoll MacDonald Commons / Watson Commons)
With refreshments; followed by free discussions
October 19 11:00am-12:00pm [CLS/CoCo Joint Seminar; note the irregular time]:
Michael Eckardt (Emeritus Vice President for Research, University of Maine)
"A Roundtable Discussion on Research Funding and Transdisciplinary Grants" [Flyer] [Video]
November 2: Chris Greene (SSIE, Binghamton University)
"Digital Manufacturing: Advancing in Technology"
November 16: J. David Schaffer (IMS, Binghamton University)
"Ongoing Work Evolving Spiking Neural Networks" [Flyer]
November 30: Ibrahim Yilmaz (SSIE, Binghamton University)
"Fairness-Efficiency Trade-offs in Collaborative Network Design" [Flyer]
Spring 2016 / Fall 2015 / Spring 2015 / 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
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.
- 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
- Linking youth and community through Information Technology
- Network analysis of real-world multi-dimensional social relationships
- Modeling and predicting state-topology coevolution of complex adaptive networks
- Self-organization of large-scale heterogeneous self-propelled particle swarms
- Advanced Certificate Program in Complex Systems Science and Engineering at Binghamton University
- Introduction to the Modeling and Analysis of Complex Systems (Open SUNY Textbook)
- Network Literacy
- NetSci High
- COULS (Computational Understanding of Living Systems) at Vestal High School
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
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