OVERVIEW
In this eight-hour short course, attendees will have a unique opportunity to gain an in-depth understanding of a wide range of recent innovative applications of Digital Engineering tools, principles, and practices. Although anyone interested in digital transformation can benefit from this integrated overview of advances in the overall methods and processes, this seminar is specifically targeted to the digital transformation of T&E and how it benefits the overall digital ecosystem. The vision for a digital T&E approach is to drive model-based enterprise decision-making, leveraging T&E enabled authoritative models and data, to ensure seamless stakeholder collaboration across the acquisition lifecycle to deliver authoritative knowledge enabling faster and better decision-making to accelerate development, delivery, operations, and sustainment of new capabilities.

· Introduction to Enabling Digital Engineering Principles and Practices

o DoD Digital Engineering Strategy guidance to the digital transformation of T&E

o Digital Thread as the architectural backbone of a lifecycle collaborative digital enterprise to achieve the overall vision

· Knowledge Graphs, Ontologies, and FAIR Knowledge Management Principles – the Hub of a Digital Transformation

o Knowledge Graphs – Where Nodes (Entities of Interest and Their Types) and Relationships Between and Attributes of the Nodes are Equally Important

o Ontologies – Used to Guide Development of the Knowledge Graph and Provide Easy, Rapid Search and Access to Knowledge Available

o Findable, Accessible, Interoperable, Reusable (FAIR) Knowledge Management

· T&E as a Continuum (TEaaC) – Moving from a Serial Set of Independent T&E activities to an Integrated Framework

o Test the Way We Fight – Conducting Mission Engineering, Systems Engineering, and T&E Early with a Consistent Focus on Mission Accomplishments Rather Than Requirements Verification.

o Robust Live-Virtual-Constructive (LVC) Environments

o Authoritative Digital Surrogate Models – a Transformative Approach to the Dynamic, Life Cycle Validation and Verification of Models

· Risk-Informed, Value-Focused Decision Making

o Value Proposition – Maximizing the Effectiveness, Suitability, and Affordability of Products and Services of Interest

o Decision Support Evaluation Framework (DSEF) – The Connective Tissue for Integrated Capability Planning, Mission Engineering, Systems Engineering, and T&E to enable Testing Like We Fight

o Integrated Decision Support Key (IDSK) – Subset of DSEF focused on optimizing T&E support to Evaluations at Key Decision Points for Acquisition Programs of Interest

o Risk-Informed Decision-Making Integrating Uncertainty Quantification into Descriptive, Predictive, and Prescriptive Analytics

o Risk-Informed, Value-Focused Decision-Making OODA Loop in a Digital Environment

· Model-Based T&E Master Plan (MBTEMP) – Assuring the Implementation of the T&E Digital Strategy

o Paradigm Shift from Modeling to Support Testing to Testing to Support Modeling.

o Integrating IDSK with MBSE to develop the digital MBTEMP

o Shifting Left While Looking Right – Early Integrated Developmental and Operational Virtual Testing

o Minimizing High-Cost Operational Testing and Certification Late in the Development Cycle Through Authoritative Virtualization

· Artificial Intelligence / Machine Learning Support to Digital T&E Transformation

o Integrated Knowledge Graph / Machine Learning Approach to Automated Development of Authoritative Digital Surrogate Models

o Integrated Knowledge Graph and Large Language Model AI to Accelerate Authoritative Decision Making

· Digital Approach to T&E Capabilities Resourcing and Management

o Knowledge Graph Framework for T&E Facilities Management

o Value-Focused Planning, Scheduling, Staffing, Modernization, and Resourcing of Test Capabilities.

o Digital Twins Operations and Maintenance of Test Facilities