[What is CoCo?] [What Are Complex Systems?] [CoCo Seminar Series]
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- Schedule of Spring 2016 CoCo seminar series announced!!
- CoCo ORC kick-off ceremony and conference was held on Thursday, October 22nd, 2015. Thank you for your participation [Photo Album] [Flyer]
- Keynote speaker: Dr. Yaneer Bar-Yam (NECSI)
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) ***Note the new location!***
With refreshments; followed by free discussions
February 1 [Special CoCo/EvoS Joint Seminar; 5:15pm in AA G 008]:
J. Scott Turner (Biology, SUNY College of Environmental Science and Forestry)
"Termites as Models of Swarm Cognition" [Flyer]
February 17: Minjie Huang (Economics, Binghamton University)
"Estimating Economic Impact of Online Product Reviews"
March 2: Harold W. Lewis, III (Systems Science and Industrial Engineering, Binghamton University)
"A Personal Historical Perspective on Systems Science at Binghamton and Elsewhere"
March 16: Carl Lipo (Environmental Studies and Anthropology, Binghamton University)
"Computational Models for Measuring Cultural Transmission"
April 4 [Special CoCo/EvoS Joint Seminar; 5:15pm in AA G 008]:
Maggie Eppstein (Computer Science, University of Vermont)
"Deception and Diversity Dynamics in the Evolution of Drug Resistance in Malaria"
April 20: Salih Tutun (Industrial and Systems Engineering, Binghamton University)
"Understanding Patterns and Relations of the Terrorist Attacks to Prevent Future Threats"
April 28 [Special CoCo/CAS Joint Seminar; 10:00am in Watson Commons]:
Sarah Muldoon (Mathematics, University at Buffalo)
"Modeling and Control of Brain Networks"
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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