COMPLEX ENGINEERED SYSTEMS SUCH AS THOSE DEVELOPED BY NASA ARE UNIQUELY HIGH-RISK SYSTEMS BECAUSE THEY OPERATE IN EXTREME VARIABLE AND UNKNOWN ENVIRONMENTS COMPRISE MANY INTERACTING COMPONENTS WITH INDIVIDUAL FAILURE RISKS AND REQUIRE HIGH UP-FRONT RESEARCH AND DEVELOPMENT COSTS. A CRITICAL CAPABILITY IS ASSESSING THE RESILIENCE OF DESIGN CONCEPT ALTERNATIVES FOR SUCH HIGH-RISK SYSTEMS IN THE EARLY DESIGN PHASE OR SYSTEM ARCHITECTURE PHASE BEFORE A LARGE PORTION OF THE PROJECT BUDGET IS INVESTED IN A SPECIFIC DESIGN CONCEPT. RESILIENCE IS BROADLY DEFINED AS THE ABILITY OF A SYSTEM TO PREPARE FOR ABSORB RECOVER FROM AND ADAPT TO FAILURE EVENTS. THIS RESEARCH WILL SPECIFICALLY ENABLE DESIGNERS TO ASSESS AND TRADE-OFF THE RESILIENCE OF THEIR DESIGN CONCEPTS WITH DESIGN AND OPERATIONAL COSTS USING A RESILIENCE-INFORMED UTILITY SCORING USING OUR UNIQUE EARLY DESIGN PHASE FAULT PROPAGATION MODELS WHICH WILL QUANTIFY THE OVERALL MERIT OF A DESIGN. IN OUR PROPOSED RESEARCH WE WILL FOCUS UPON RESILIENCE FOR ON-DEMAND MOBILITY (ODM) APPLICATIONS SUCH AS AUTONOMOUS AIR TAXIS. WE WILL INVESTIGATE RESILIENT DESIGN ARCHITECTURES WITH STRATEGIC USE OF SYSTEM HEALTH MONITORING CAN HELP MINIMIZE UNSCHEDULED MAINTENANCE AND CREATE FAULT TOLERANT SYSTEMS TO IMPROVE DISPATCH RELIABILITY RATES WHILE MANAGING FINANCIAL INVESTMENT.