Complex R.O.M.E. 2026 is an online free workshop that aims to bring together researchers from different disciplines interested in researching at the intersection of history with complexity science, network science, computational social science, mathematical modelling, and artificial intelligence. Complex R.O.M.E. welcomes both completed and preliminary research, as well as methodological contributions, new datasets, and position presentations.
Senior and junior researchers are equally encouraged to participate, with the goal of fostering interdisciplinary discussion, collaboration, and new approaches to understanding the dynamics of historical societies.
The 2026 edition will take place fully online on September 30–October 1, 2026, and participation is free. This year’s keynote speakers will be
• Peter Turchin (CSH, University of Oxford, University of Connecticut)
• Débora Zurro Hernández (IMF-CSIC)
More at: https://complexrome.com/evento-2026.html 

26 – 27 February 2027

CSMA 2027 aims to create a new international venue that can unite scholars, practitioners and students from diverse fields to address various real-world challenges and opportunities using methodologies of complex systems modeling and analysis. The conference will showcase cutting-edge modeling/analysis methods, interdisciplinary applications, and innovative solutions, fostering collaboration and sparking new ideas. Its 2027 edition will have a particular focus on the applications to education and society. By integrating insights from systems science, mathematics, computer science, engineering, economics, social sciences, psychology, healthcare, education, and many others, we seek to advance understanding and application in these crucial areas. Join us to explore how multidisciplinary approaches can drive improvements in our society!
Organized in Hybrid Mode by CHRIST University, Pune Lavasa, India & Binghamton University, State University of New York, USA

More at: csma.christuniversity.in

March 9-12, 2027
University of Rochester, New York, USA

CompleNet is an annual international conference that unites researchers and practitioners from diverse scientific disciplines who share a deep interest in understanding the structure, dynamics, and applications of complex networks.

Since its founding in 2009 in Catania, Italy, CompleNet has grown into an established interdisciplinary venue fostering exchange across physics, computer science, biology, social science, economics, and engineering — united by the common language of network science.

More at: complenet.github.io

Winter School Feb 15 – Mar 6, 2027
Registration open until Sep 1, 2026

This winter school brings together researchers from neuroscience, machine learning, information theory, and applied mathematics to study learning, computation, and representation in complex systems. Topics range from neural dynamics and synaptic plasticity to data-driven discovery of dynamical models, biologically inspired machine learning, information-theoretic approaches to causality, and experimental and data-analytic perspectives. The goal is to foster a shared understanding of how brains and machines learn, represent structure in the world, and give rise to coherent computation across scales.

The program will contain lectures from invited speakers and researchers from Göttingen, hands-on tutorials, a hackathon, lab tours, a poster session, and networking activities.
A Special session with a dedicated lecture on the Philosophy and Ethics of Artificial Intelligence.
No registration fees and applications are open until Sep 1 2026.
The Venue is the Max Planck Institute for Dynamics and Self-Organization Am Faßberg 17, 37077 Göttingen

More at: goemmi-goettingen.de

The Summer School in Complexity and Emergence in Economic and Social Systems is inspired by the pioneering approach of the Santa Fe Institute. This program introduces participants to the tools and ideas central to the study of complex adaptive systems.

Through a combination of lectures, hands-on coding sessions, and interdisciplinary discussions, participants will explore how emergent phenomena—such as financial crises, innovation diffusion, urban growth, and collective decision-making—arise from decentralized interactions among agents.

Many of today’s most pressing social and economic challenges exhibit emergent properties that traditional equilibrium-based methods struggle to explain.

This Summer School addresses that gap by equipping participants with state-of-the-art tools from complexity science, enabling them to analyze systems where collective behavior and adaptation drive outcomes.

Enroll at: bse.eu