Cluster Engineered assets at risks

Objectives

Make risk and resilience management decisions; model assets and systems at risk (natural, technological, financial) with interactions, systemic dependencies and cascading dynamics.

Method

• Quantitative and qualitative risk assessment incorporating monitoring information
• Modeling of cascading effects and decision-making processes
• Economic analysis
• Operational safety and maintenance of complex systems
• Artificial intelligence
• Decision support
• Information theories