Partial Support of the Board on Mathematical Sciences and Anayltics and the Committee on Applied and Theoretical Statistics
数学科学和分析委员会以及应用和理论统计委员会的部分支持
基本信息
- 批准号:1820527
- 负责人:
- 金额:$ 69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2021-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The National Academies' Board on Mathematical Sciences and Analytics (BMSA) provides a broad interface between the research enterprise and federal agencies that rely on the mathematical sciences. The Board provides objective and authoritative advice on how best to apply the tools of mathematics, statistics, operations research, financial engineering, simulation science, analytics, risk analysis, systems engineering, and decision analysis to practical problems of national importance. Over its nearly 33 years of existence, the BMSA has produced 81 reports. Through its work, the Board strengthens the policy-making process; increases the visibility of, and appreciation for, the mathematical sciences; and identifies growth areas for the discipline. The National Academies' Committee on Applied and Theoretical Statistics (CATS) is a primary interface between the research enterprise and federal agencies that rely on the statistical sciences. The Committee provides objective and authoritative advice on how best to apply the tools and perspectives of statistics to practical problems of national importance. In so doing, CATS strengthens the policy-making process; increases the visibility of, and appreciation for, the statistical sciences; and identifies growth areas for the discipline. CATS increases the visibility of the statistical sciences among agencies of the federal government and within the policy community and enables statisticians to play larger roles in science policy. It does this by involving leading statistical scientists in workshops and studies that help federal decision-makers address their technical challenges. Through its execution of this function, CATS strengthens and broadens the interface between the statistics research community and widespread users of those research results. BMSA provides objective and authoritative advice on how best to apply the tools of mathematics, statistics, operations research, financial engineering, simulation science, analytics, risk analysis, systems engineering, and decision analysis to practical problems of national importance. It consists of pro bono experts from a broad range of quantitative fields with experience in academia, industry, government, and national laboratories. Board members carry out their work by identifying important steps of value to federal agencies and the mathematical sciences, and then recruiting leading mathematical scientists to participate in workshops, studies, and other activities focused on the technical challenges of federal decision-makers. CATS consists of pro bono experts from across the range of statistical sciences, particularly those with expertise related to data science, physical sciences, Earth sciences, engineering, biomedical research, and health care. CATS meetings provide opportunities to build the interfaces noted above and to help design and oversee CATS activities, which are funded separately. Its position as part of the National Academies of Sciences, Engineering, and Medicine enables CATS to also strengthen links between the statistical sciences and other fields of science, engineering, and medicine by involving statisticians in multidisciplinary studies, workshops, and conferences.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.
美国国家科学院数学科学与分析委员会(BMSA)在依赖数学科学的研究企业和联邦机构之间提供了一个广泛的接口。委员会就如何最好地将数学、统计学、运筹学、金融工程、模拟科学、分析学、风险分析、系统工程和决策分析等工具应用于具有国家重要性的实际问题提供客观和权威的建议。BMSA成立近33年来,共发表了81份报告。理事会通过其工作,加强了决策过程;提高人们对数学科学的认识和欣赏;并确定该学科的成长领域。美国国家科学院应用与理论统计委员会(CATS)是研究企业和依赖统计科学的联邦机构之间的主要接口。委员会就如何最好地将统计工具和观点应用于对国家具有重要意义的实际问题提供客观和权威的咨询意见。这样,CATS加强了决策过程;提高统计科学的知名度和知名度;并确定该学科的成长领域。CATS提高了统计科学在联邦政府各机构和政策界的知名度,并使统计学家能够在科学政策中发挥更大的作用。它通过邀请领先的统计科学家参加研讨会和研究来帮助联邦决策者解决他们的技术挑战。通过执行这一职能,统计研究中心加强和扩大了统计研究界与这些研究成果的广泛用户之间的联系。BMSA就如何最好地应用数学、统计学、运筹学、金融工程、模拟科学、分析学、风险分析、系统工程和决策分析等工具来解决具有国家重要性的实际问题提供客观和权威的建议。它由来自广泛定量领域的公益专家组成,他们在学术界、工业界、政府和国家实验室都有经验。委员会成员通过确定对联邦机构和数学科学有价值的重要步骤来开展工作,然后招募领先的数学科学家参加研讨会、研究和其他活动,重点关注联邦决策者面临的技术挑战。CATS由来自统计科学各个领域的无偿专家组成,特别是那些在数据科学、物理科学、地球科学、工程、生物医学研究和卫生保健方面具有专业知识的专家。CATS会议提供了建立上述接口的机会,并帮助设计和监督CATS活动,这些活动是单独资助的。作为美国国家科学院、工程院和医学院的一部分,CATS还可以通过让统计学家参与多学科研究、研讨会和会议,加强统计科学与其他科学、工程和医学领域之间的联系。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。
项目成果
期刊论文数量(10)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Empowering the Defense Acquisition Workforce to Improve Mission Outcomes Using Data Science
授权国防采办人员利用数据科学改善任务成果
- DOI:
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:National Academies of Sciences, Engineering
- 通讯作者:National Academies of Sciences, Engineering
Planning for Long-Term Use of Biomedical Data: Proceedings of a Workshop
生物医学数据的长期使用规划:研讨会论文集
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:National Academies of Sciences, Engineering
- 通讯作者:National Academies of Sciences, Engineering
Roundtable on Data Science Postsecondary Education: A Compilation of Meeting Highlights
数据科学高等教育圆桌会议:会议亮点汇编
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:National Academies of Sciences, Engineering
- 通讯作者:National Academies of Sciences, Engineering
Improving Defense Acquisition Workforce Capability in Data Use: Proceedings of a Workshop–in Brief
提高国防采办人员的数据使用能力:研讨会论文集——简介
- DOI:
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:National Academies of Sciences, Engineering
- 通讯作者:National Academies of Sciences, Engineering
Robust Machine Learning Algorithms and Systems for Detection and Mitigation of Adversarial Attacks and Anomalies: Proceedings of a Workshop
用于检测和缓解对抗性攻击和异常的鲁棒机器学习算法和系统:研讨会论文集
- DOI:
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:National Academies of Sciences, Engineering
- 通讯作者:National Academies of Sciences, Engineering
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Michelle Schwalbe其他文献
Michelle Schwalbe的其他文献
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{{ truncateString('Michelle Schwalbe', 18)}}的其他基金
2023 Quadrennial Review of the National Nanotechnology Initiative (NNI)
2023 年国家纳米技术计划 (NNI) 四年一度审查
- 批准号:
2329910 - 财政年份:2023
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Research Infrastructure: Support for a Workshop on Artificial Intelligence to Assist Mathematical Reasoning
研究基础设施:支持人工智能辅助数学推理研讨会
- 批准号:
2316144 - 财政年份:2023
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Fast-Track Consensus Study on Foundational Research Gaps and Future Directions for Digital Twins
关于数字孪生基础研究差距和未来方向的快速共识研究
- 批准号:
2233022 - 财政年份:2022
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
The Current Status and Future Direction of High Magnetic Field Science in the United States
美国强磁场科学的现状和未来方向
- 批准号:
2234156 - 财政年份:2022
- 资助金额:
$ 69万 - 项目类别:
Continuing Grant
Core Support of the Board on Mathematical Sciences and Analytics and the Committee on Applied and Theoretical Statistics
数学科学与分析委员会和应用与理论统计委员会的核心支持
- 批准号:
2133303 - 财政年份:2022
- 资助金额:
$ 69万 - 项目类别:
Continuing Grant
Designing Materials to Revolutionize and Engineer our Future
设计材料来彻底改变和设计我们的未来
- 批准号:
2054501 - 财政年份:2021
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Illustrating the Impact of the Mathematical Sciences
说明数学科学的影响
- 批准号:
1933194 - 财政年份:2019
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Support of the Committee on Applied and Theoretical Statistics
应用和理论统计委员会的支持
- 批准号:
1700083 - 财政年份:2017
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Partial Support of the Meetings of the Board on Mathematical Sciences and Analytics
数学科学与分析委员会会议的部分支持
- 批准号:
1738066 - 财政年份:2017
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
Core Support for the Board on Mathematical Sciences and Their Applications
数学科学及其应用委员会的核心支持
- 批准号:
1643066 - 财政年份:2016
- 资助金额:
$ 69万 - 项目类别:
Standard Grant
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IFG::OT::IFG: PARTIAL SUPPORT FOR THE BOARD ON BEHAVIORAL, COGNITIVE, AND SENSORY SCIENCES (BBCSS)
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