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Studying CNS involves investigating innovative approaches to challenges across computer science, physics, mathematics, biology, healthcare, and cognitive and social sciences. You could analyze why specific YouTube videos gain viral popularity, study Instagram data to identify negative drug interaction effects, or create predictive models for tracking online misinformation spread. The complex networks and systems curriculum features: A specialized informatics course foundation. Research initiatives and events through the interdisciplinary NSF-NRT program in complex networks and systems. Seminar offerings including the NSF-NRT Colloquium and presentations hosted by CNetS and CSBC. A substantial research component guided by faculty. The Complex Networks & Systems track provides distinctive interdisciplinary training to examine relationships between theoretical, technological, biological, and social aspects of complex systems within a diverse, research-focused academic program. Complex systems research aims to uncover and comprehend how interconnected components—whether in the Internet, human cognition, linguistic structures, energy networks, or ecological systems—interact and influence overall system behavior.