Publications

Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation & Uncertainty Quantification

Tsao, Jeffrey Y.; Trucano, Timothy G.; Kleban, S.D.; Naugle, Asmeret B.; Verzi, Stephen J.; Swiler, Laura P.; Johnson, Curtis M.; Smith, Mark A.; Flanagan, Tatiana P.; Vugrin, Eric D.; Gabert, Kasimir G.; Lave, Matthew S.; Chen, Wei C.; DeLaurentis, Daniel D.; Hubler, Alfred H.; Oberkampf, Bill O.

This report contains the written footprint of a Sandia-hosted workshop held in Albuquerque, New Mexico, June 22-23, 2016 on “Complex Systems Models and Their Applications: Towards a New Science of Verification, Validation and Uncertainty Quantification,” as well as of pre-work that fed into the workshop. The workshop’s intent was to explore and begin articulating research opportunities at the intersection between two important Sandia communities: the complex systems (CS) modeling community, and the verification, validation and uncertainty quantification (VVUQ) community The overarching research opportunity (and challenge) that we ultimately hope to address is: how can we quantify the credibility of knowledge gained from complex systems models, knowledge that is often incomplete and interim, but will nonetheless be used, sometimes in real-time, by decision makers?