Research
Health and social development 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.
Research at the lab is exploratory. Much of our work focuses on uncertainty, heterogeneity, and interaction effects in settings where decisions must be made with incomplete information and under real constraints.
Because similar patterns recur across healthcare delivery, social protection, and community services, insights developed in one context often inform work in others. Our research moves across levels—from individuals to organizations, and from operational decisions to policy design.
Researchers in the lab use mathematical, computational, and empirical approaches to study health and social development systems. Our work draws on operations research, statistics, network analysis, simulation, and decision science, with an emphasis on interpretation, use, and institutional relevance.
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.
Reserch 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 for Health and Development
Feedback, adaptation, and institutional learning across care, welfare, and policy environments.