Physics & Computational Mathematics
Applied Mathematics & Crisis Algorithm Design Facility
A computational research facility within the Division of Physics & Computational Mathematics focused on mathematical modeling, optimization, simulation design, and decision-support algorithms for humanitarian crisis response.
Mission
Mathematics for field decisions
The facility develops applied mathematical frameworks that convert uncertain, fast-moving crisis data into structured operational insight. Its work supports forecasting, triage prioritization, logistics sequencing, resource allocation, and scenario planning across complex humanitarian environments.
By combining numerical methods, probabilistic reasoning, optimization theory, and computational experimentation, the team helps Pacific 7.0 International design resilient decision systems that remain useful under pressure, incomplete information, and rapidly changing field conditions.
Core functions
Operational design areas
Modeling & simulation
Builds predictive and scenario-based models for cascading crisis conditions, infrastructure stress, and humanitarian demand.
Optimization & allocation
Designs algorithms for routing, prioritization, scheduling, and constrained resource deployment in austere environments.
Decision-support systems
Translates advanced mathematics into usable tools that strengthen planning, coordination, and rapid-response execution.
Engage
Advance crisis science
Support research capacity that strengthens forecasting, coordination, and evidence-based humanitarian intervention across global crisis environments.