Conference: Advancing Statistical Science for our Changing Climate
Conference: Advancing Statistical Science for our Changing Climate
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
中文摘要
气候变化的统计科学研讨会系列将于2023年11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,以应对在气候和极端事件、气候及其对人类和动物健康的影响、以及金融业和保险业的气候和风险管理等领域面临的挑战。面对我们迅速变化的气候,统计在了解和减轻其深远影响方面发挥着关键作用。随着极端天气和与天气有关的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。讲习班将集中统计界的精力,以减轻气候变化对我们全球结构的多方面影响。每个讲习班为期两天,分为4个单元。前3个单元将侧重于关键的统计内容,并将以一名先前确定的首席调查员所作的概述发言开始。在概述演示之后,研讨会参与者将以工作组的形式聚集在一起,讨论关键问题并孕育新想法。每个讲习班的最后模块将作为总结,并向外部虚拟参与者开放。为每个单元确定的首席调查员将帮助提出关键的统计科学问题,并牵头编写VISION文件以及为每个讲习班计划的研究文件。预计总共将发表9篇学术研究论文,其中包括每个讲习班的一篇主要愿景论文。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,以支持在讲习班领域具有复原力的社会。此外,ASA将制定关键的白皮书,以与其成员进行沟通,超越本科和研究生课程的机会,以及企业合作,着眼于ASA的企业研究员计划,以应对气候变化。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推动气候变化的复杂动态,并为制定有效的战略、政策和解决方案做出贡献,以在多个方面应对气候变化带来的挑战。有关更多信息,请访问网站:www.amstatClimate ate.org该奖项反映了NSF的法定使命,并通过使用基金会的智力优势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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
Computationally Tractable Estimation Methods for Markov Processes
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批准号:9704648
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项目类别:Continuing Grant
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资助金额:$6.45万
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财政年份:1997
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负责人:Katherine Ensor
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依托单位:
Mathematical Sciences Research Equipment 1990
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批准号:9005783
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项目类别:Standard Grant
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资助金额:$3.75万
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财政年份:1990
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负责人:Katherine Ensor
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依托单位:
Mathematical Sciences: Joint Asymptotic Distribution of Autoregressive Coefficient and Order Estimators
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批准号:8808852
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项目类别:Standard Grant
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资助金额:$1.2万
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财政年份:1988
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负责人:Katherine Ensor
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依托单位:
海外基金