Computer models and simulations are increasingly used to inform decision making for high-consequence, mission-critical, and safety applications - from healthcare to defense. Accounting for uncertainties in model-based inference, prediction, and optimization is essential, particularly for complex societal and technological systems such as digital twins.
Join the National Academies on June 17, 2024 from 1-5pm ET for a symposium to explore advances and evolutions in verification, validation, and uncertainty quantification (VVUQ) for increasingly complex and dynamic modeling and simulation.
Speakers at the event will include Natalia Alexandrov (NASA), David Higdon (Virginia Tech), Peter Jan van Leeuwen (Colorado State University), and Ralph Smith (North Carolina State University) with keynote speaker Thomas Braun (NGA).
Symposium discussions will explore:
- How uncertainty propagates through model hierarchies and ensembles of models
- Verification, validation, and uncertainty quantification for machine learning and artificial intelligence
- How to measure and evaluate the reliability of complex modeling and simulation
- Settings for which existing VVUQ methods are insufficient, such as digital twins
- The role VVUQ plays in establishing trust