Model-based Intelligent Decisions for Higher Innovation Value and Efficiency (MINDHIVE)

Through many applications of EdgeDwellerrsquo;s (EDI) Intentional Innovationreg; (II) problem-solving process, a core insight was discovered: When organizations concurrently evaluate multiple challenges they are facing regarding their impact on organizational strategic goals in addition to the technical requirements for an improved process, product or service, they develop and implement more efficient, effective solutions to the challenges.nbsp;EDI will prove that a decision-making hierarchy which starts at the agency level and permeates the entire organization to the tech. efficiency level, will produce higher value results for NASArsquo;s FRED than decision-making that is limited to the tech. efficiency level.nbsp;Project MINDHIVE integrates multiple technologies and methods to create a SaaS solution that enhances NASArsquo;s ability to manage decisions across multiple levels and functional domains of the agency, including FRED.nbsp; MINDHIVE builds on prior EDI projects with NASA where we linked these hierarchies to our IIreg; process to significantly increase the value of new solutions and reduce solution concept-to-use case time to 3.5 months.nbsp;In order to deliver FRED insights at tech. levels requested, we have assembled an informal consortium of experts with backgrounds in Decision Intelligence, AI, Machine Learning, Digital Twin models, and NASA Facilities management. We will apply this decision model to FRED, simulating the impact of different solutions to clearly demonstrate variations in value and performance.We will use this Phase 1 contract to show how this approach can yield;Higher performing future statesReduced risk through solutions that evolve over a series of multi-level assessments with milestone launches from the current to future stateHigher performance at multiple levels (agency, mission directorate, program, tech.)Longer lasting performance through technical solutions designed to evolve over timeRapid deployment of solutions agency-wide where applicable.