Capacity Building in Complexity Science at Warwick

A single doctoral training programme will train researchers to apply complexity science—the study of how large-scale patterns emerge from many small interactions—to problems ranging from diabetes to computer viruses. Complex systems behave in ways that simple cause-and-effect models cannot predict. Traffic jams, epidemic waves, financial crashes, and the spread of misinformation all arise from countless individual decisions, yet they follow hidden rules. The programme groups its training around six core themes—agent-based modelling, networks, self-organisation, nonlinear dynamics, spatio-temporal complexity, and managing complexity—and applies them to real-world challenges. Medically relevant projects tackle diabetes, back pain, and consultation effectiveness for the NHS. Financial work addresses UK market management and intervention. Environmental projects cover habitats, skies, and space weather. Neuro-related network research and intelligent-agent studies align with UK Foresight priorities. If successful, the programme will produce a cohort of researchers who can model and manage system-level behaviour across sectors. This could improve how the NHS allocates resources, how regulators spot financial instability, and how authorities predict the spread of epidemics or computer viruses. Longer-term work on self-assembling molecular-scale technology points toward fundamental advances in manufacturing and materials.