Simulation Governance & Management Webinar Slides

Advancements in predictive computational science make it possible to increase reliance of numerical simulation, necessitating fewer physical experiments for substantial savings in time and costs of product development projects. The first and perhaps the most challenging obstacle to full realization of the benefits of predictive computational science is a widespread misunderstanding of what numerical simulation is.

Most managers and many individuals who present themselves as experts in numerical simulation confuse numerical simulation with “finite element modeling” or “numerical modeling“. Those are outdated concepts, responsible for much of the disappointing results that caused widespread loss of confidence in the usefulness and reliability of numerical simulation. Current simulation and data management practices will have to be revised in order to meet the technical requirements of predictive computational science.

The presentation will focus on the central role of simulation governance and management in the coordination of experimental and analytical work necessary for proper use of the tools and techniques of predictive computational science with the objective to maximize the reliability of computed information.

Watch the webinar here. Note: this webinar was originally prepared by Drs. Szabó and Actis for the NAFEMS World Congress 2021 session on Simulation Governance.