Exploring Scenarios and Supporting Decisions
Models provide a representation of complex systems. Simulation brings those models to life.
The Biocomplexity Institute has decades of experience developing and executing large-scale simulations that reveal how systems evolve over time and how interventions may shape future outcomes. By creating virtual environments in which scenarios can be explored safely and repeatedly, simulations help decision makers evaluate strategies, anticipate risks, and identify effective responses before events unfold in the real world.
Our researchers develop high-resolution simulations that capture the dynamics of interacting populations, infrastructures, and environments. Leveraging high-performance computing and advanced analytics, we can investigate thousands of scenarios and assess the potential consequences of policy choices, disruptions, and emerging threats.
Simulation provides a powerful "what-if" capability, enabling organizations to test assumptions, compare alternatives, and make more informed decisions under uncertainty.
Applications
- Epidemic forecasting and intervention planning
- Disaster preparedness and recovery
- Transportation and mobility systems
- Supply chains and logistics
- Energy reliability and resilience
- Biological invasions and food systems
- Socio-technical digital twins
Representative Projects
See the projects below to discover how BI simulations help organizations anticipate challenges, evaluate interventions, and build resilient systems.