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Partial Support of the Meetings of the Board on Mathematical Sciences and Analytics

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
负责人:
Michelle Schwalbe
金额:
$10.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2017
资助国家:
美国
项目状态:
已结题
起止时间:
2017-09-01 至 2018-08-31

项目摘要

项目成果

Michelle Schwalbe的其他基金

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中文摘要
翻译
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。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。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。
英文摘要
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 policymaking process; increases the visibility of, and appreciation for, the mathematical sciences; and identifies growth areas for the discipline.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. 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.
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