Center for the Study of Complex Systems
Cluster at the University of Michigan designed to encourage and facilitate research and education in the general area of nonlinear, dynamical and adaptive systems. Faculty represent nearly every college of the University, and cover a broad range of interests.
Centre for Complexity Science, Imperial
Centre for both applied and fundamental research in complexity science at Imperial College London. Bi-weekly seminars are also held during term time.
Chaos, Complexity, and Inference
A statistics course at Carnegie Mellon University. Topics cover key parts of modern theories of nonlinear dynamics and complex systems, and their connections to fundamental aspects of probability and statistics.
Complexity Explorables
A collection of interactive demonstrations of complex systems across a range of disciplines. Some introduce broader examples of complexity whilst others demonstrate specific results on networks.
Complexity Science Hub
Independent research centre based in Vienna collaborating with practitioners and policymakers in the public sphere, as well as private-sector entities.
Computing in Physics
Immersive advanced computational physics course from the University of Illinois. Topics cover a variety of themes from complex systems.
Graph-tool
An efficient Python module for the manipulation and statistical analysis of graphs. The internals are implemented in C++ for performance together with the Boost Graph Library.
HypergraphX (HGX)
A Python library for the analysis of real-world complex systems with group interactions. HGX aims to provide, as a single source, a wide range of tools for higher‑order data.
Inverse Complexity Lab
A research group at the Interdisciplinary Transformation University, focusing on inverse problems in complexity science. That is to investigate, given an empirically observed large-scale organisation, what are the local rules of interaction that caused it.
Network Science Institute, Northeastern University
A multi-disciplinary initiative between multiple schools at Northeastern University. The institute houses multiple lab groups specialising on a range of research areas dedicated to complex networks.
Networks, Oxford Mathematical Institute
Research cluster within the Oxford Centre for Industrial and Applied Mathematics. The group organises a weekly seminar series on networks, complex systems and related topics held in the Mathematical Institute.
NetworkX
The traditional Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
Santa Fe Institute
An interdisciplinary institute based in New Mexico. Research spans all areas of complexity theory and especially in foundational topics of physics and mathematics in these areas.
Statistical Signal and Network Models
Advanced engineering course at the University of Cambridge. Topics include the processing of data that arrives sequentially in time, and that which is distributed over different sites like in graphs.
The Bartlett Centre for Advanced Spatial Analysis
Research group based within the School of Architecture at University College London. Topics include applications of complexity science to urban theory and city systems.
Yale Institute for Network Science
Interdisciplinary institute at Yale University with a focus on fundamental properties of networks. Research covers a full range of systems including biological, physical, and social sciences.