Title: Quantifying model-form uncertainty with an application to subsurface transport

Abstract: Computational models are increasingly used to make predictions affecting high-consequence engineering design and policy decisions. However, incomplete information about the represented phenomena and limitations in computational resources require approximations and simplifications that can lead to uncertainties in the computational models’ forms and errors in predicted quantities of interest. Addressing these uncertainties are essential for understanding the reliability of such predictions. This talk will provide a survey of current approaches to address model-form uncertainty and detail its characterization for an upscaled/homogenized model of transport through a heterogeneous porous medium.