Explore techniques for isolating influential parameters in engineering and biological models through this comprehensive webinar. Learn about global sensitivity analysis, parameter subset selection, and active subspace techniques as alternatives for identifying key inputs. Discover how Bayesian calibration on active subspaces can quantify uncertainties in physical parameters. Examine real-world applications in nuclear power plant design, quantitative systems pharmacology, and transductive materials. Gain insights from Distinguished University Professor Ralph C. Smith as he shares his expertise in mathematical modeling of smart material systems, numerical analysis, and uncertainty quantification for physical and biological systems.