Labs and research centers
The Institute houses multiple lab groups led by our core faculty specializing in various focus areas, as well as numerous research teams assembled around specific projects.
The Center for Complex Network Research (CCNR) has a simple objective: think networks. The center’s research focuses on how networks emerge, what they look like, and how they evolve; and how networks impact on understanding of complex systems, with applications ranging from the network of human diseases to controlling complex social, economical, and biological systems.
The Laboratory for the Modeling of Biological and Socio-technical Systems (MOBS) is home to research projects aiming at developing innovative mathematical models and computational tools to better understand large-scale complex networks and systems.
Lazer Lab research is based on the idea that how people and organizations are connected together is critical to understanding the functioning, success and failure of actors and systems and ranges from the very micro (social influence processes within groups), to the very macro (the development of global-wide regulatory regimes).
The Machine Intelligence Group for the betterment of Health and the Environment (MIGHTE) works on the the conception and implementation of machine learning analytics tools aimed at characterizing the dynamics of complex systems to anticipate and predict unobserved events in epidemiology, healthcare, and environmental sciences.
DK-Lab research focuses mostly on network theory. Specific topics include network geometry, random (geometric) graphs, causal sets, navigation in networks, and fundamentals of network dynamics.
The Collaborative Social Systems Lab explores how groups of individuals solve challenging tasks using local, distributed interactions. They use agent-based modeling, conduct lab and field experiments, and analyze large datasets to study how networked interactions influence human behavior, strategies, and success in multiple contexts.
The Communication Media and Marginalization (CoMM) Lab aims to understand how and why marginalization happens by using communication power and media control theories, network and computational social science methods, and data from online and traditional media sources. From social media to businesses to schools and more, CoMM Lab aims to identify - and disrupt - the explicit and implicit processes that prevent some people and ideas from being fully heard.
Rad-Lab focuses on data mining and machine learning strategies to address challenges of networked representations of physical and social phenomena. Their research develops theory, algorithms, and applications.
Partnerships
The mission of IUNI is to promote research and development of the foundational aspects of network science such as theories, methods, analytic tools, to strengthen the practice of network science, and to foster collaborative, interdisciplinary network science approaches to understanding and improving the complex challenges of our world.
The mission of the George J. Kostas Institute for Homeland Security is to advance the development of societal resilience in the face of 21st Century risks.
Northeastern University and the U.S. Army Research Laboratory partnered with Massachusetts-area universities, institutes and industry to form ARL Northeast.
Channing Division of Network Medicine uses an integrated, network-based, systems biology-driven approach to: define the etiology of complex diseases, reclassify complex diseases, and develop new treatments and preventive strategies.
BARI seeks to spur original, cutting-edge research in the greater Boston area that both advances urban scholarship and improves public policy and practice.
