The webinar introduces the SEAVEA toolkit and its practical approach to improving the credibility and reliability of computational models through Verification, Validation, and Uncertainty Quantification (VVUQ). It provides an applied and accessible introduction to core VVUQ techniques, explaining why they are essential for building trustworthy simulation-based models and how they can be systematically incorporated into computational workflows. Participants will gain an understanding of how VVUQ helps quantify uncertainty, assess model accuracy, and improve confidence in simulation results.
The session demonstrates how the SEAVEA toolkit supports these processes in practice, offering tools and methods for structuring VVUQ workflows across a range of computational applications. Through guided examples, participants will see how models can be tested, validated against data, and analysed for uncertainty in a consistent and reproducible way. A live, hands-on demonstration will illustrate how the toolkit can be applied to real modelling scenarios, showing practical steps from setup through to analysis and interpretation of results. This makes the webinar particularly relevant for those working in scientific computing, applied mathematics, engineering, and data-driven simulation.
By the end of the session, participants will have a clearer understanding of how to apply VVUQ principles in their own work and how the SEAVEA toolkit can help improve the robustness and transparency of computational modelling studies.
This online session is open to all. It will use the Blackboard Collaborate platform.