Computational approaches mirroring complexity, revealing tradeoffs, and informing adaptive readiness
Expanding beyond logic; serving as the experimentation / optimization machinery behind decision models
Storytelling, human-experience
Evolving goals
Test futures
Quantifying / qualifying risks
Surface biases
Improve system reliability
Families of methods:
Whether your objective is resilience, performance,risk reduction, or informed resource allocation, analytical and simulation methods give you the ability to explore behaviors of complex systems before they play out in the real world.