Workshop: Collaborative Strategies for Predicting and Measuring Uncertainty in Rare Occurrences in Civil and Environmental Systems; Golden, Colorado; 6-8 November 2024

研讨会：预测和测量民用和环境系统中罕见事件的不确定性的协作策略；

• 批准号: 2400107
• 负责人: Soutir Bandyopadhyay
• 金额: $ 4.96万
• 依托单位: Colorado School of Mines
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2025-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2400107&HistoricalAwards=false
• 关键词: Workshop; Collaborative; Strategies; Predicting; Measuring

This award will support a workshop to establish a platform for collaboration between statistical science and civil and environmental engineering in interpreting numerical models and simulations for risks and hazards to the built environment. The recent incidences of extreme weather events, such as the 2020 fires in California, the 2021 Pacific Northwest heatwave, and the 2022 Midwest flooding, underscore the critical necessity to comprehend and mitigate future risks. The collaboration between engineers and statisticians, specializing in the field of extreme value analysis, presents a practical and focused opportunity to find novel approaches to these risks. Statisticians possess the capacity to construct predictive models for these extreme events, thereby providing valuable insights for decisions regarding risk mitigation. Engineers, in turn, can use these predictive models to formulate designs for more resilient infrastructure and devise strategies for effective response in such situations. Therefore, the goal of this workshop is to facilitate a two-way exchange of knowledge and ideas, where statisticians can share emerging methods for data analysis and models for quantifying uncertainty, and civil and environmental engineers can discuss challenging problems in their fields and their traditional approaches. In this manner, data scientists will be motivated in their research by substantial problems in engineering. Conversely, civil and environmental engineers can consider new ways of addressing issues based on recent developments in statistical science. By creating opportunities for collaboration and knowledge sharing between different fields, the workshop will aim to foster new ideas and solutions that can address the challenges facing the civil and environmental engineering industry today. The workshop will bring together leading experts from these disciplines to develop new collaborations, delineate mathematical and statistical challenges, and advance the state-of-the-art in the modeling and inference for high-dimensional spatio-temporal, compound extreme events. NSF support will prioritize participation by underrepresented groups. The workshop will offer short courses and hands-on tutorials using R software, focusing on methods for modeling the tail (extreme) probabilities of a distribution. Research talks, panel discussions, and presentations will involve statisticians and experts in civil engineering and environmental science. A poster session for graduate students and post-docs will include 3-minute speed talks and traditional posters. Overall, the workshop will foster collaboration, knowledge sharing, and skill development in extreme value analysis.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该奖项将支持一个研讨会，以建立统计科学与土木和环境工程之间的合作平台，以解释建筑环境风险和危害的数值模型和模拟。最近发生的极端天气事件，例如 2020 年加利福尼亚州火灾、2021 年太平洋西北地区热浪和 2022 年中西部洪水，凸显了理解和减轻未来风险的迫切必要性。专门从事极值分析领域的工程师和统计学家之间的合作为寻找应对这些风险的新方法提供了一个实用且集中的机会。统计学家有能力为这些极端事件构建预测模型，从而为有关风险缓解的决策提供有价值的见解。反过来，工程师可以使用这些预测模型来制定更具弹性的基础设施的设计，并制定在这种情况下有效响应的策略。因此，本次研讨会的目标是促进知识和思想的双向交流，统计学家可以分享新兴的数据分析方法和量化不确定性的模型，土木和环境工程师可以讨论其领域及其传统领域中的挑战性问题。接近。通过这种方式，数据科学家将被工程中的实质性问题所激励进行研究。相反，土木和环境工程师可以根据统计科学的最新发展考虑解决问题的新方法。通过创造不同领域之间的合作和知识共享的机会，研讨会旨在培育新的想法和解决方案，以应对当今土木和环境工程行业面临的挑战。该研讨会将汇集这些学科的领先专家，以发展新的合作，描绘数学和统计挑战，并推进高维时空复合极端事件的建模和推理的最先进水平。 NSF 支持将优先考虑代表性不足的群体的参与。该研讨会将提供使用 R 软件的短期课程和实践教程，重点关注分布尾部（极端）概率的建模方法。研究讲座、小组讨论和演讲将涉及土木工程和环境科学领域的统计学家和专家。研究生和博士后的海报会议将包括 3 分钟的快速演讲和传统海报。总体而言，研讨会将促进极值分析方面的合作、知识共享和技能发展。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。