The Connected Data Hub conducts research on how interconnected systems both arise from and influence human behavior across the domains of science, art, industry, and national security. We specialize in Network Science, employing it as a foundational framework for understanding complex systems — analyzing how individuals, teams, and organizations interact to generate knowledge and drive innovation. Our work is highly interdisciplinary, integrating methods from Data Science with theoretical perspectives from Sociology, Physics, Computer Science, Computational Social Science, and Complex Systems.
Our current research is centered on the Science of Science, where we develop models to examine how collaboration networks, institutional structures, and strategic decisions shape creativity, impact, and long-term success. Increasingly, this work informs data-driven decision-making in high-stakes, dynamic environments — including those relevant to national security, research strategy, and organizational change.
Research Tags: Network Science; Computational Social Science; Science of Science; Complex Systems; National Security; Data-driven Decision-making; Casual Inference
