coco.binghamton.edu Open in urlscan Pro
128.226.74.145  Public Scan

Form analysis
0 forms found in the DOM

Text Content

About Us Research Seminar Series Education Contact Us

Binghamton Center of Complex Systems

About Us

Research

Seminar Series

Education

Contact Us



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.

In The News



2023 BU Library News
2023 BingU News
2021 PsyPost
2021 Cornell Blog
2021 RI Christmas Lectures
2020 BingU News
2020 Science Daily




More...

2019 AI with AI
2018 BingU News 1, 2
2018 BU Pipe Dream 1, 2
2017 SoM Magazine
2017 BingU News
2016 BU Magazine
2015 BU Discover-e
2015 BU Pipe Dream
2009 BU Research Magazine

Participants



Core Faculty
Other Faculty Participants
Past/Affiliated Faculty Participants
CoCo CRISPIE (student group)

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 dynamics of physical, biological,
    social, and engineered complex systems through scientific research,
 2. Promote interdisciplinary collaboration among faculty and students in
    different colleges/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 interdisciplinary research
projects since 2007 as an informal research group. It officially became a
designated ORC of the University (the Center for Collective Dynamics of Complex
Systems) on July 1st, 2015. The Center's name was officially updated to the
"Binghamton Center of Complex Systems" on July 1st, 2023, to better reflect the
continuously expanding scope of CoCo.



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.


RESEARCH FOCI


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.



Northeast Regional Conference on Complex Systems (NERCCS)

Northeast Journal of Complex Systems (NEJCS)






CoCo Seminar Series

CoCo Seminar Series: Spring 2024 Schedule Flyer

January 24, 2024
Unsupervised Embedding of Trajectories Captures the Latent Structure of
Scientific Migration
Dr. Sadamori Kojaku

SSIE, Binghamton University
[Flyer]
[Video]

February 7, 2024
Lessons from Life Itself: Relational Models of Complexity and Self-Organization
Dr. Pedro Márquez-Zacarías

Santa Fe Institute
[Flyer]
[Video]

February 9, 2024 (in **EB R15**)
Temporal Networks: State-Transition Dynamics Modeling and Interaction among
Manga Characters
Dr. Naoki Masuda

Mathematics, University at Buffalo
[Flyer]




February 28, 2024
[Online] Structural Balance and Random Walks on Complex Networks with Complex
Weights
Dr. Yu Tian

Nordita: Nordic Institute for Theoretical Physics, Sweden


March 27, 2024
How to Make Collaborative Decisions on the Way to Net-Zero New York?
Dr. Neha Patankar

SSIE, Binghamton University


April 17, 2024
The Measure of Complementarities and Synergies: A Systematic Review of the
Organizational Science Literature and an Interdisciplinary Exploration
Minjong Jun



Management, Binghamton University




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 Fall
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



Also check out the schedule of EvoS Seminars




EDUCATION

 * Advanced Certificate Program in Complex Systems Science and Engineering at
   Binghamton University
 * PyCX
 * Introduction to the Modeling and Analysis of Complex Systems (Open SUNY
   Textbook)
 * Network Literacy
 * NetSci High
 * NetSciDraw
 * Complexity Explained

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.



Binghamton University

4400 Vestal Pkwy E

Binghamton, NY 13902



© Copyright 2007-2024

Binghamton Center of Complex Systems

Binghamton University

Contact Us

Hiroki Sayama, DSc, Director (Systems Science and Industrial Engineering)

sayama@binghamton.edu

Andreas Pape, PhD, Associate Director (Economics)

apape@binghamton.edu

Mailing Address

P.O. Box 6000, Binghamton, NY 13902-6000, USA