Dr van Elteren’s research focuses on developing computational models in computational social science to understand how interventions propagate through complex systems. He specialises in uncovering the mechanisms by which influence spreads, identifying key drivers, and anticipating system-level responses. Previous work includes applying information theory to infer driver nodes in complex networks, mapping tipping points that signal critical transitions, and designing computational frameworks for structured collaborations. By combining rigorous modelling with data-driven analysis, Dr van Elteren’s work aims to reveal hidden dynamics in social systems, inform policy interventions, and guide the design of resilient, adaptive, and strategically coordinated networks.