Complex systems—whether integrated circuits, information relays, transportation routing, social systems, or biochemical reactions in a living cell—all behave in ways that cannot be fully explained by understanding their component parts. Complex systems require integrative approaches. Tools are needed to characterize and design these nonlinear systems that are more than the sum of the properties of their parts. The wide variety of complex systems known as networks require analytic methods of discovery by computer scientists, applied mathematicians, and engineering faculty from across the college.