Using network science analytics for identifying, anticipating, and disrupting covert threats

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This project aims to leverage the untapped potential of network science for advancing intelligence. Network science offers unique concepts, theories, and methods to analyse and understand relationships between a given set of social entitles (e.g., criminals) in ways that directly inform the identification, anticipation, and disruption of covert threats. Developing novel simulation methodologies to systematically analyse the characteristics of cyber-crime, organised crime, and extremist networks, the project will use advances in analytics and machine learning to model and reveal effective intelligence targeting and disruption strategies. The project will extend the field of network science while advancing the discipline of intelligence.