Ongoing
Boleslaw Szymanski
Research interests span range from network science, with emphasis on social networks and resilience of complex systems to design of distributed and parallel algorithms, and using AI and network science to understand biological, ecological and social phenomena. Currently, he leads the following funded projects: “Culture Sensitive Predictive Modeling of Societal Instabilities,” ONR, “Forecasting Emergent Phenomena with Human Computer Collaboration”, ARO, (with Northwestern University), DARPA SocialSim Program “SocialCube: A Multiscale Modeling and Simulation Framework for Social Streams” (with UIUC), and “Detecting and Disrupting Transnational Criminal Organizations” as a part of the DHS Center of Excellence led by GMU.