From Strategy to Execution: How MIT Lincoln Laboratory Advances Digital Engineering

Engineering teams today generate more data than ever before. Requirements, models, simulations, design artifacts, and test results all play a role in development, yet that information often lives in separate systems and workflows. The challenge is not simply connecting the data. It’s making sure people can use it to make better decisions, spot issues sooner, and move programs forward with confidence.

In this session, Denise Fitzgerald of MIT Lincoln Laboratory shares lessons learned from bringing digital thread concepts into advanced research and engineering environments. Drawing on real-world experience, she discusses how engineering information can be connected across disciplines and lifecycle stages to provide greater visibility into programs, improve collaboration, and help teams understand the impact of decisions before problems become costly.

Joining Denise are Igor Tsinman of AMC Bridge and David Long of INCOSE for a panel discussion on the realities of digital engineering and model-based systems engineering (MBSE). Together, they explore how organizations are putting these approaches into practice, what challenges they encounter along the way, and how connected engineering data can support the development of increasingly sophisticated systems. The conversation also looks ahead to the growing role of AI and knowledge-driven engineering, and what those technologies could mean for future engineering workflows.

What you’ll learn

• How organizations are linking requirements, models, simulations, and test results to create greater continuity across engineering activities
• Practical ways to improve traceability and identify potential issues before they affect schedules, budgets, or performance
• Lessons learned from applying digital engineering and MBSE in complex development environments
• How connected engineering information helps teams work more effectively across disciplines
• Where AI and knowledge-driven engineering may have the greatest impact in the years ahead

Watch now to hear how research and industry leaders are approaching digital engineering, and what it takes to turn connected data into better execution across the lifecycle.