Applied Mathematics & Crisis Algorithm Design Facility
Designing mathematical algorithms and optimization frameworks for crisis decision-making, resource allocation, and operational planning.
Research Mission
The Applied Mathematics & Crisis Algorithm Design Facility develops mathematical algorithms, optimization frameworks, and decision-support tools for crisis management, operational planning, and resource allocation under uncertainty. The facility applies operations research, stochastic optimization, game theory, and network analysis to the complex, time-critical decision problems that arise in disaster response, humanitarian operations, and security contexts — providing the mathematical rigor needed for effective crisis decision-making.
Key Research Functions
Crisis Optimization
Developing optimization algorithms for crisis decision problems — resource allocation under scarcity, evacuation routing, supply chain disruption response — that find high-quality solutions in the compressed timeframes of emergency operations.
Decision Support Tools
Building mathematical decision support tools that help crisis managers evaluate options, assess tradeoffs, and identify robust strategies under deep uncertainty — translating complex optimization results into actionable recommendations.
Game-Theoretic Analysis
Applying game theory to adversarial and competitive scenarios — analyzing strategic interactions in security, negotiation, and resource competition contexts to identify equilibrium strategies and inform DARAS operational planning.
Research Capabilities
Directorate of Advanced Research & Applied Sciences
Join This Research Unit
Pacific 7.0 International recruits scientists, engineers, and researchers committed to advancing knowledge in service of global security and humanitarian protection.