Support of the Committee on Applied and Theoretical Statistics

国家科学院应用和理论统计委员会是研究企业与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具有国家重要性的实际问题提供客观和权威的咨询意见。在这样做时，CATS加强了决策过程;提高了统计科学的知名度和认识;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机构和政策界的知名度，使统计人员能够在科学政策中发挥更大的作用。它通过让主要的统计科学家参加讲习班和研究来帮助联邦决策者解决他们的技术挑战。通过履行这一职能，CATS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接口，CATS由来自统计科学各个领域的无偿专家组成，特别是那些具有数据科学、物理科学、地球科学、工程学、生物医学研究和保健方面专门知识的专家。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，这些活动单独供资。它作为科学，工程和医学的国家科学院的一部分，使CATS也加强统计科学与科学，工程和医学的其他领域之间的联系，通过参与多学科研究，研讨会和会议的统计学家。

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.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.