One of the major developments of the last two decades has been the ever-increasing interconnectivity of a broad class of information networks, including physical and data network types arising in telecommunication, social networks, and transportation and energy infrastructures. This interconnectivity has led to immense temporal and spatial complexity in modern networks and a critical need for basic mathematical theory and statistical modeling of complex interacting networks. Rensselaer's current research in this direction includes structure and dynamics of social, information, and biological networks and applications to social dynamics, network vulnerability, epidemic models, and synchronization problems. On-campus collaborations and facilities are at the Network Science and Technology Center (NeST).