The research activity of the division aims at the study of systems where a large number of interacting units give rise to cooperative phenomena, non-trivial patterns and complex dynamical behavior that cannot be simply inferred from the basic microscopic interactions. The complex systems division is active in scientific areas ranging from complexity in material science and biological systems to interdisciplinary applications in epidemiology, information technology, economics and policy making. The division uses large-scale computational approaches, agent based models, complex networks, non-linear systems analysis and statistical physics methods to link the microscopic dynamics and interactions of the constituent elements to the statistical regularities and the macroscopic properties of the system under study. The final goal is the developing of theoretical and computational tools for the forecast, control and optimization of complex systems in real-world settings and scenarios.