Partial Support of the Board on Mathematical Sciences and Anayltics and the Committee on Applied and Theoretical Statistics

美国国家科学院数学科学与分析委员会(BMSA)在研究企业和依赖数学科学的联邦机构之间提供了一个广泛的接口。该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、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。在其近33年的存在中，BMSA编制了81份报告。通过其工作，委员会加强了决策过程；提高了数学科学的知名度和鉴赏力；并确定了该学科的增长领域。美国国家科学院应用和理论统计委员会(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建议。通过这样做，CATS加强了决策过程；提高了统计科学的能见度和鉴赏力；并确定了该学科的增长领域。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。它让领先的统计科学家参加研讨会和研究，帮助联邦决策者解决他们的技术挑战，从而做到这一点。通过执行这一职能，CATS加强并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就如何最好地将数学、统计学、运筹学、金融工程、模拟科学、分析、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。它由来自广泛量化领域的具有学术界、工业界、政府和国家实验室经验的无偿专家组成。董事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、研究和其他侧重于联邦决策者的技术挑战的活动。CATS由来自统计科学领域的无偿专家组成，特别是那些拥有与数据科学、物理科学、地球科学、工程、生物医学研究和卫生保健相关专业知识的专家。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。作为国家科学院、工程院和医学会的一部分，CATS还通过让统计学家参与多学科研究、研讨会和会议，使CATS能够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。

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.