WoCo10 2011 - IFIP WG2.5 Working Conference on Uncertainty Quantification in Scientific Computing
Topics/Call fo Papers
Computing has become an indispensable component of modern science and engineering research. As has been repeatedly observed and documented, processing speed measured in floating point operations per second has experienced exponential growth for several decades. These hardware efficiencies have been accompanied by innovations in mathematical algorithms, numerical software, and programming tools. The result is that, by any measure, the modern computer is many orders of magnitude more powerful than its early predecessors, capable of simulating physical problems of unprecedented complexity.
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.
The Conference
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.
Participation
To ensure a focused working conference with maximum opportunity for group interaction, participation will be by invitation only.
Proceedings
Proceedings of the conference will be published by Springer as part of IFIP's Advances in Information and Communication Technology series.
Organizing Committee
Ronald F. Boisvert, NIST, USA, Chair
Andrew Dienstfrey, NIST, USA
James C. T. Pool, CalTech, USA (retired)
Program Committee
Andrew Dienstfrey, NIST, USA, Chair
Ronald F. Boisvert, NIST, USA
Maurice Cox, National Physical Laboratory, UK
Bo Einarsson, Linköping University, Sweden
Brian Ford, Numerical Algorithms Group Ltd., UK
James (Mac) Hyman, Tulane University, USA
William Oberkampf, Sandia National Laboratory, USA
Tony O'Hagan, University of Sheffield, UK
Michael Oberguggenberger, University of Innsbruck, Austria
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.
The Conference
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.
Participation
To ensure a focused working conference with maximum opportunity for group interaction, participation will be by invitation only.
Proceedings
Proceedings of the conference will be published by Springer as part of IFIP's Advances in Information and Communication Technology series.
Organizing Committee
Ronald F. Boisvert, NIST, USA, Chair
Andrew Dienstfrey, NIST, USA
James C. T. Pool, CalTech, USA (retired)
Program Committee
Andrew Dienstfrey, NIST, USA, Chair
Ronald F. Boisvert, NIST, USA
Maurice Cox, National Physical Laboratory, UK
Bo Einarsson, Linköping University, Sweden
Brian Ford, Numerical Algorithms Group Ltd., UK
James (Mac) Hyman, Tulane University, USA
William Oberkampf, Sandia National Laboratory, USA
Tony O'Hagan, University of Sheffield, UK
Michael Oberguggenberger, University of Innsbruck, Austria
Other CFPs
- 4th International Working Conf. on Computer Aided Innovation
- IFIP WG8.2 Working Conference “Researching the Future”
- Fifth Latin-American Symposium on Dependable Computing
- Workshop on Parallel and Distributed Computing for Machine Learning and Inference Problems
- The 15th International Conference on Optical Networking Design and Modeling - ONDM 2011
Last modified: 2010-07-31 13:16:40