About the Institute
NetSI brings together labs, research teams, and doctoral students from diverse disciplinary backgrounds joined by our shared interest in understanding the patterns and dynamics of connectivity underlying behaviors of complex systems. Both our collaborative research and educational strategies are motivated by a desire to inspire and contribute to a growing community dedicated to fundamentally changing the way society understands and interacts with our networked world.
Collectively our Institute research explores large scale data sets that enable us to develop heavily mechanistic and statistically rigorous models to measure and model network properties and interdependencies of physical, social, informational and technical systems. Using visualizations and forecasting models, we actively engage government, industry and other decision-making partners to inform and advise how to design or restore the network to reach its desired outcome.
The Network Science Institute (NetSI) is a multi-disciplinary research community supporting innovative research and training in network science. Located next to the Prudential Center, a short walk from the main campus of Northeastern University, NetSI is a collection of labs, research teams, and doctoral students in a shared workspace, representing diverse academic departments, including physics, political science, communication, computer science, health sciences, and business. We have active speaker series, journal clubs and working groups, a shared computing infrastructure, and a set of intensive network science graduate courses. From the nexus of cross-disciplinary exchanges, our Institute is dedicated to creating synergy across research areas, with projects that integrate models, theories and problem-solving approaches from diverse perspectives and applications with the shared goal to understand systems by discovering the underlying principles, properties and purpose of their connectivity.
Research conducted at the Institute explores diverse network phenomena such as diffusion and spreading, control and resilience and coordination and collective behaviors. In our fundamental mathematical and theoretical research, we explore geometry of networks, and formalized representations of multi-dimensional networks. Current research projects include topics such as disease spread through populations, the role of cellular and sub-cellular connections in biological function, how social movements form and mobilize, the evolution of knowledge and emergence of scientific discoveries, design and recovery of socio-technical systems, and how groups deliberate, learn and reach consensus.
network science education
With the goal of training a new generation of scholars, the Institute has developed the first PhD program in Network Science in the U.S. Our curriculum includes six courses designed to provide the set of core foundational skills to become highly competent modelers and agile thinkers in this field: Introduction to Network Science; Dynamical Systems; Network Data; Social Networks; Bayesian Statistics; and Network Economics. We are also committed to developing teaching modules for k-12 students, with the vision of providing tools and a framework for educators for the identification and exploration of disciplinary intersections across required curriculum content. Together, we hope these efforts will help train new science scholars with the computational skills and disciplinary depth to become visionary thought leaders, as well as support the efforts to use science of learning and information to improve the depth and quality of education.
explore their universality and predictability;
and inform intervention strategies to improve health and security of human populations.