Complex Networks and Systems

Natural, social, and technological systems are constantly adapting and evolving.

The study of complex systems is focused on discovering and understanding how the myriad parts of a system—social networks, the human brain, a language, a power grid, financial markets, or gene regulatory networks—interact with each other and drive the macroscopic behavior of the system. This strongly interdisciplinary field has exciting new solutions for computer science, physics, math, biology, health, and cognitive and social science.

Researchers at our Center for Complex Networks and Systems Research (CNetS) are investigating complex systems in action, as for example determining how a particular YouTube video suddenly goes viral, Instagram data to discover adverse reactions caused by drug interactions, or developing models that can accurately predict the spread of online misinformation.

Our students come from around the world and have a variety of educational backgrounds. What they share is a strong desire to widen their theoretical, computational, and technical skills. From the earliest days of the program they start to engage in research projects on biological systems, socio-cultural dynamics, critical infrastructures, financial markets, science of science, social networks, and online information diffusion. Our students have graduated to join some of the best academic, government, and R&D centers in the World, ranging from top universities to the most advanced technology companies. A detailed description of the course structure, core faculty, syllabus of required courses, and graduation metrics is available.


Ph.D. in Informatics, Complex Networks and Systems track
An interdisciplinary program that enables you to focus your research in physical and chemical systems, biological systems, social systems, or technological systems

NSF-NRT Interdisciplinary Training in Complex Networks and Systems (CNS-NRT)
The National Science Foundation awarded an interdisciplinary training grant in Complex Networks & Systems. Students admitted to this traineeship pursue an integrated dual-major Ph.D. program that trains students to be "bidisciplinary" in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences. Please see the CNS-NRT website for admission procedures and additional information on this program.

Combined Ph.D. in Informatics and Cognitive Science
For students who want to study the dynamics of brain-body-environment systems in behavior and cognition