10th edition
May 18-22, 2026
Villa del Grumello,
Como, Italy
Many real systems can be modeled as networks, where the elements of the system are nodes and interactions between elements are edges. An even larger set of systems can be modeled using dynamical processes on networks, which are in turn affected by the dynamics. Networks thus represent the backbone of many complex systems, and their theoretical and computational analysis makes it possible to gain insights into numerous applications. Networks permeate almost every conceivable discipline – including sociology, transportation, economics and finance, biology, and myriad others – and the study of “network science” has thus become a crucial component of modern scientific education.

The school “Complex Networks: Theory, Methods, and Applications” offers a succinct education in network science. It is open to all aspiring scholars in any area of science or engineering who wish to study networks of any kind (whether theoretical or applied), and it is especially addressed to doctoral students and young postdoctoral scholars. The aim of the school is to deepen into both theoretical developments and applications in targeted fields.

Read the full article at: ntml.lakecomoschool.org

Binghamton Center of Complex Systems (CoCo) Seminar

January 28, 2026

Carlos Gershenson (Systems Science and Industrial Engineering, Binghamton University)

“On the Limits of the Scientific Study of Complex Systems”

Watch  at: vimeo.com

Chicago, IL, USA. June 29 – July 1, 2026

The NetLogo Center is excited to announce the inaugural NetLogo Conference this summer in Chicago! Join researchers, educators, artists, and business professionals sharing how they use agent-based modeling in their work. The conference will include research presentations, educational presentations, networking events, and educational workshops (e.g., NetLogo + GIS, ABM + AI, designing curricula with NetLogo). Abstract/proposal submissions are now open.

Deadline for abstract/proposal submissions: March 2, 2026

Full conference details and proposal submissions here: https://conference.netlogo.org/2026/

Read the full article at: conference.netlogo.org

NERCCS 2026: The Ninth Northeast Regional Conference on Complex Systems will follow the success of the previous NERCCS conferences to promote the emerging venue of interdisciplinary scholarly exchange for complex systems researchers in the Northeast U.S. region (and beyond) to share their research outcomes through presentations and online publications, network with their peers, and promote interdisciplinary collaboration and the growth of the research community.

NERCCS will particularly focus on facilitating the professional growth of early career faculty, postdocs, and students in the region who will likely play a leading role in the field of complex systems science and engineering in the coming years.

The 2026 conference will be held primarily in person at the University of Rochester, with an online participation option via Zoom.

More at: nerccs2026.github.io

19–23 December 2025 (Hybrid)

Network Science Research Lab, IIIT Kottayam, India

Workshop on Complex Network Analysis with Applications in Brain Network Science and Complex Systems aims to bring together academicians, researchers, industrial experts, Ph.D. scholars, and postdoctoral fellows to explore recent advancements and foundational concepts in the fields of graph theory and its applications in network analysis. Graph theory, a cornerstone of discrete mathematics, offers a robust framework for modeling and analyzing complex networks across various domains from biological systems and brain connectivity to social, technological, and infrastructural networks.The primary aim of this five-day workshop is to provide a comprehensive introduction to the mathematical foundations and computational techniques in complex network analysis, with a particular emphasis on its applications in brain network science and biomedical data analysis. The program will cover a range of contemporary topics, including the simplicial analysis of fMRI data to study human brain dynamics during functional cognitive tasks, analysis of complex networks and prediction using deep learning models, and exploration of graph algorithms along with their computational complexity. Participants will also gain exposure to advanced methodologies such as the application of complex networks in machine learning, the characterization of resting-state fMRI for brain connectivity analysis, and diffusion MRI analysis for clinical applications. In addition, the workshop will introduce recurrence network analysis, which is used to predict climate changes and other dynamic systems. To complement these theoretical discussions, hands-on sessions will be conducted on complex network analysis using NetworkX, and nonlinear dynamics in recurrence relations.

Free registration for Complex Systems Society Members.

More at: sites.google.com