Probabilistic Resilience Assessment of Interdependent Systems (PRAISys)

Developer/Partners: National Science Foundation, Lehigh University, Florida Atlantic University, Georgia State University (2015)

Relevant Hazard/Threat(s): All hazards

Intent: Comprehensive platform for supporting pre-event decision-making in disaster mitigation under uncertainty. For a given hazard scenario, it can assess damage and predict functionality recovery of critical infrastructure systems, in consideration of large uncertainties and complex interdependencies.

After extreme events, a community's socio-economic recovery depends on the recovery of its infrastructure systems, such as power and water distribution systems, transportation networks, communications systems, and critical buildings. We need to build resilient infrastructure systems to support the national economy and wellbeing of citizens, resist extreme events, and ensure their capacity to rapidly recover to full service afterwards. The PRAISys (Probabilistic Resilience Assessment of Interdependent Systems) platform will perform post-event resilience analysis of communities by addressing stochastic interdependencies among infrastructure systems in a probabilistic way.

Inputs: 
Outputs: For a given hazard, PRAISys provides an assessment of damage and prediction of functionality recovery of critical infrastructure systems in consideration of large uncertainties and complex interdependencies.

Free access to the platform through PRAISys website, very technical and academically driven