Workshop on Uncertainty Quantification and Error Estimation

不确定性量化与误差估计研讨会将于2003年11月13-14日在约翰霍普金斯大学举行一次研讨会，以制定不确定性量化（UQ）在计算科学与工程中能够和必须发挥的作用的研究计划。特别是，假设UQ有助于扩大误差估计的定义，以包括与模型、数据、统计分析和逆分析相关的误差。从这个角度来看，寻求一个框架是可取的，在这个框架中，所有这些错误都可以同时抽象和建模。这将在基于模型的预测和实验证据之间提供一个严格而合理的桥梁。研讨会将汇集误差估计、不确定性量化、实验力学和各种应用领域的专家。他们的宗旨是为昆士兰大学确定一个雄心勃勃但可以实现的使命。研讨会的第一天将包括七个概述报告，这些报告将强调各个关键科学领域的最新技术。第二天将涉及围绕应用领域开发的八个分组会议，旨在强调不确定性量化对实践状态的某些重要性，以及实现这一目标的途径。预计综合所有分组会议的结果将使昆士兰大学的意义及其在科学和技术方面的作用更加明确。

WORKSHOP ON UNCERTAINTY QUANTIFICATION AND ERROR ESTIMATIONA workshop will be held at the Johns Hopkins University on November 13-14, 2003 to developa research plan for the role that Uncertainty Quantification (UQ) can and must play within Computational Science and Engineering. In particular, it is postulated that UQ contributes to broaden the definition of Error Estimation to include errors associated with models, data, statistical analysis, and inverse analysis. From this perspective, it is desirable to seek a framework whereby all of these errors can be abstracted and modeled simultaneously. This will provide a rigorous and rational bridge between model-based predictions and experimental evidence. The workshop will bring together experts in the fields of Error Estimation, Uncertainty Quantification, Experimental Mechanics, and a variety of Application areas. Their charter is to identify an ambitious albeit achievable mission for UQ. The first day of the workshop will involve seven overview presentations that will underscore the state-of-the-art in the key individual science areas. The second day will involve eight break-out sessions developed around an application area which is meant to highlight certain the significance of Uncertainty Quantification to the state-of-practice, and a path for achieving that. It is anticipated that a synthesis of the outcome from all break-out sessions will give a more defined shape to the significance of UQ and its role in science and technology.