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Conference: Advancing Statistical Science for our Changing Climate

Conference: Advancing Statistical Science for our Changing Climate
会议:为不断变化的气候推进统计科学
批准号:
2335936
负责人:
Katherine Ensor
金额:
$9.96万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-09-01 至 2024-08-31

项目摘要

项目成果

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中文摘要
翻译
“气候变化的统计科学”系列研讨会将于2023年11月、2024年2月、2024年2月和2024年4月在弗吉尼亚州亚历山大市的美国统计协会(ASA)总部举行,重点是推动统计科学向前发展,以应对气候和极端事件、气候及其对人类和动物健康的影响、金融行业和保险业的气候和风险管理等领域面临的挑战。面对快速变化的气候,统计数据在理解和减轻其深远影响方面发挥着关键作用。随着极端天气和天气相关事件的频率和强度增加,可靠的数据分析对于识别模式、评估风险和制定有效战略变得至关重要。气候系统的复杂性要求开发新的统计方法,以处理复杂的数据集,考虑不确定性,并提供准确的预测。这些讲习班将把统计界的精力集中在减轻气候变化对全球结构的多方面影响上。每个工作坊将持续2天,分为4个模块。前3个模块将侧重于关键的统计内容,并将从之前确定的首席研究员的概述演讲开始。在概述介绍之后,研讨会参与者将以工作组的形式聚集在一起,解决关键问题并孕育新的想法。每个讲习班的最后一个模块将作为总结,并向外部虚拟参与开放。为每个模块确定的主要研究人员将帮助开发关键的统计科学问题,并带头撰写远景论文以及为每个研讨会计划的研究论文。预计总共将产生九篇学术研究论文,其中包括每个研讨会的一篇概述性愿景论文。在每一种情况下,远景文件都将奠定统计科学学科所需的基础,以便在讲习班领域内支持一个有弹性的社会。此外,ASA将制定关键白皮书,与其成员沟通,并在本科和研究生课程以及企业合作方面提供更多机会,同时着眼于ASA企业研究员气候适应能力计划。通过将统计建模、数据分析和风险评估方面的专业知识与气候科学家的见解相结合,研究人员可以全面了解驱动气候变化的复杂动态,并有助于制定有效的战略、政策和解决方案,以应对气候变化在多个方面带来的挑战。有关更多信息,请参阅网站:www.amstatclimate.orgThis该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
The Statistical Science for our Changing Climate workshop series, which will be take place at the American Statistical Association (ASA) headquarters in Alexandria VA November 2023, February, 2024, and April 2024, will focus on moving statistical science forward to meet the challenges faced in the areas of climate and extreme events, climate and the impact on human and animal health, and climate and risk management both for the financial industry and the insurance industry. In the face of our rapidly changing climate, statistics plays a pivotal role in understanding and mitigating its profound impacts. As the frequency and intensity of extreme weather and weather-related events increase, reliable data analysis becomes crucial for identifying patterns, assessing risks, and formulating effective strategies. The complexity of climate systems necessitates the development of new statistical methodologies that can handle intricate datasets, account for uncertainties, and provide accurate predictions. The workshops will focus the statistics communities’ energies on mitigating the multi-faceted impacts of a changing climate on our global structures.Each workshop will take place over 2 days and will be organized into 4 modules. The first 3 modules will be focused on the critical statistical content and will begin with an overview talk presented by a previously identified lead investigator. Following the overview presentation, the workshop participants will gather in working groups to address the critical questions and incubate new ideas. The final module for each workshop will serve as a summary wrap-up and be open to external virtual participation. Lead investigators identified for each module will help develop key statistical science questions and take the lead on the authorship of the vision paper as well as research papers planned for each workshop. In total, it is expected that nine scholarly research papers will be produced, including one overarching vision paper from each workshop. In each case, the vision paper will lay the foundation of what is needed in the discipline of statistical science to support a resilient society with respect to the domain of the workshop. Further, ASA will develop key white papers to communicate to its members and beyond opportunities in curriculum both undergraduate and graduate, as well as corporate collaborations, with an eye toward an ASA corporate fellows program for climate resilience. By combining expertise in statistical modeling, data analysis, and risk assessment with the insights of climate scientists, researchers can gain a comprehensive understanding of the complex dynamics driving climate change and contribute to the development of effective strategies, policies, and solutions that address the challenges posed by climate change on multiple fronts. For more information please see website:www.amstatclimate.orgThis 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.
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会议论文
Computationally Tractable Estimation Methods for Markov Processes
  • 批准号:
    9704648
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $6.45万
  • 财政年份:
    1997
  • 负责人:
    Katherine Ensor
  • 依托单位:
Mathematical Sciences Research Equipment 1990
  • 批准号:
    9005783
  • 项目类别:
    Standard Grant
  • 资助金额:
    $3.75万
  • 财政年份:
    1990
  • 负责人:
    Katherine Ensor
  • 依托单位:
Mathematical Sciences: Joint Asymptotic Distribution of Autoregressive Coefficient and Order Estimators
  • 批准号:
    8808852
  • 项目类别:
    Standard Grant
  • 资助金额:
    $1.2万
  • 财政年份:
    1988
  • 负责人:
    Katherine Ensor
  • 依托单位:
海外基金