We are now the Binghamton Center of Complex Systems (CoCo). With the addition of world-class new members, we will further advance the science of complex systems to address various real-world problems.
We are now the Binghamton Center of Complex Systems (CoCo). With the addition of world-class new members, we will further advance the science of complex systems to address various real-world problems.
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:
CoCo is also the hosting organization of the US Northeast Chapter of the Complex Systems Society.
There is an email list run by CoCo for general discussions on complex systems. To subscribe, please contact Hiroki Sayama.
CoCo CRISPIE, a student group of CoCo, has launched in Spring 2023!! Check out their website.
Take a look at our CoCo brochure here.
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)
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, such as 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/Organizational 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 and organizational systems. Current research topics include agent-based modeling of groups, collectives, societies and economies; experimental studies of leadership, team performance and organizational decision making; and evolution of cooperative/competitive strategies and collective actions in society.
Network Science: The utilization and extension of network science to explore the connectivity between elements, growth and self-organization, and dynamical evolution of various complex networks. Current research topics include modeling of epidemic dynamics in multilayer social networks; developing novel network modeling and analysis tools such as effective graphs, adaptive networks and higher-order networks; and application of network science to biological, biomedical and psychological/psychiatric data.
AI/Machine Learning/Artificial Life: The exploration of novel approaches to autonomous, intelligent, adaptive artificial systems using bioinspired methodologies. Current research topics include complex dynamics of random Boolean networks; representation learning in AI/ML; application of AI/ML to healthcare; morphogenetic swarm systems; and open-ended evolution and creativity of artificial systems.
CoCo Seminar Series
CoCo Seminar Series: Fall 2023 Schedule Flyer
August 30, 2023
Heterogeneity Extends Criticality
Dr. Carlos Gershenson
September 20, 2023
[Online] Introduction to the Center for Social Complexity at George Mason University
Dr. William G. Kennedy
Computational & Data Sciences, George Mason University
[Flyer]
[Video]
September 27, 2023
[Online] Relational Models of Complex Systems: Hierarchy and Topology of High Order Interactions
Dr. Cliff Joslyn
Pacific Northwest National Laboratory / SSIE, Binghamton University
[Flyer]
[Video]
October 25, 2023
The Structure and Dynamics of Networks of Networks
Irene Ferri Condeminas
Physics, University of Barcelona, Spain / CoCo Visiting Scholar
October 31, 2023
[Extra CoCo Seminar] Prediction in the Stock Market Using Deep Learning
Priyank Thakkar
Computer Science and Engineering, Nirma University, India
November 1, 2023
Policy Reform Effects in the Tax Ecosystem: An Agent-based Simulation Approach
Dr. Peter Gerbrands
Economics, Utrecht University, the Netherlands / Economics, Binghamton University
December 6, 2023
Connecting Dynamics on and of Networks to Data: Motif-Based and Mean-Field Approaches
Dr. Alice C. Schwarze
Mathematics, Dartmouth College
Wednesday 12:00-1:00pm US Eastern Time
EB-T1 & Online (via Zoom; link posted in Google Calendar on the right)
Followed by open discussions
Video Archives on Vimeo
Past Seminars:
2023: Spring
2022: Spring Fall
2021: Spring Fall
2020: Spring Fall
2019: Spring Fall
2018: Spring Fall
2017: Spring Fall
2016: Spring Fall
2015: Spring Fall
2014: Spring Fall
2013: Spring Fall
2012: Spring Fall
2011: Spring Fall
2010: Spring Fall
2009: Spring Fall
2008: Fall
Support CoCo
You can support CoCo's research and educational activities by making donations in the following steps:
Binghamton University
4400 Vestal Pkwy E
Binghamton, NY 13902
© Copyright 2007-2023
Binghamton Center of Complex Systems
Binghamton University
Contact Us
Hiroki Sayama, DSc, Director (Systems Science and Industrial Engineering)
Andreas Pape, PhD, Associate Director (Economics)
Mailing Address
P.O. Box 6000, Binghamton, NY 13902-6000, USA