Research
Care systems are shaped by networks of relationships linking individuals, families, services, institutions, technologies, and public policy. Changes in one part of the system often propagate to others, producing effects that are difficult to anticipate when components are studied in isolation.
Inquiry in the CSL remains exploratory. Much of our work focuses on system behavior emerging from decisions made under uncertainty across institutional contexts.
Because similar patterns repeat across healthcare delivery, social protection, and community services, insights developed in one context often inform work in others. Research moves across levels—from individuals to organizations, and from operational decisions to policy design.
Research draws on operations research, statistics, network science, simulation, machine learning and decision science, with an emphasis on interpretation, institutional relevance, and operational use.
Our scientific domain is complexity. Individual studies form the basic units of our work. Between these levels sit research themes and projects that connect collaborators across healthcare, social policy, and community settings, and support cumulative understanding of how systems evolve.
Research Themes
Adaptive Service Systems
Decision-making, coordination, and performance in service systems operating under uncertainty.
Population Health Dynamics
Modeling disease, risk, and intervention effects across health and policy systems.
Access, Equity, and Social Protection
Structural drivers of inequality in access, prioritization, and outcomes across health and social systems.
Learning Systems
Feedback, adaptation, and institutional learning across care, welfare, and policy environments.