Given the success of scientific computation as a research tool, it is natural that scientists, engineers, and policy makers strive to harness this immense potential by using computational models for critical decision-making. Increasingly, computers are being used to supplement experiments, to prototype engineering systems, or to predict the safety and reliability of high-consequence systems. Such use inevitably leads one to question "How good are these simulations? Would you bet your life on them?" Unfortunately, most computational scientists today are ill equipped to address such important questions with the same scientific rigor that is routine in experimental science.
This working conference will bring together experts in mathematical modeling, numerical analysis, numerical software engineering, and statistics, along with scientists from a variety of key applications to assess our current ability to quantify uncertainty in modeling and simulation, to raise awareness of this issue within the numerical software community, and to help envision a research agenda to address this critical need. Conference topics will include: (a) Numerical software verification, (b) Validation metrics and comparison with physical experiment, and (c) Uncertainty estimation for predictive modeling and simulation. In addition, case studies from representative application areas, such as electromagnetics, mechanical engineering, and nuclear power plant control, will be presented.
To ensure a focused working conference with maximum opportunity for group interaction, participation will be by invitation only. Please send e-mail to the conference Technical Contacts if you wish to be invited.
Proceedings of the conference will be published by Springer as part of IFIP's Advances in Information and Communication Technology series.
Ronald F. Boisvert, NIST, USA, Chair
Andrew Dienstfrey, NIST, USA
James C. T. Pool, CalTech, USA (retired)
Andrew Dienstfrey, NIST, USA, Chair
Ronald F. Boisvert, NIST, USA
Maurice Cox, National Physical Laboratory, UK
Bo Einarsson, Linköping University, Sweden (retired)
Brian Ford, Numerical Algorithms Group Ltd., UK (retired)
James (Mac) Hyman, Tulane University, USA, SIAM Representative
William L. Oberkampf, Sandia National Laboratories, USA (retired)
Tony O'Hagan, University of Sheffield, UK
Michael Oberguggenberger, University of Innsbruck, Austria