Partial Support of the Core Activities of the Committee on National Statistics

这一奖项延续了NSF对国家统计委员会(CNSTAT)核心活动的支持，CNSTAT是国家科学院-国家研究理事会(NAS-NRC)的一个常设委员会。该委员会是根据总统联邦统计委员会的建议于1972年成立的。它填补了一个关键的空白，作为一个高度分散的联邦统计系统的综合力量，在这个系统中，研究兴趣往往比其他关注的优先事项更低。从长远来看，委员会致力于改进公共政策决策所依据的统计方法和信息。它直接和间接地加强了社会、行为和经济科学研究数据的发展，使这些数据更容易用于研究，并进一步发展了用于研究和其他目的的测量、收集和分析方法。委员会主动或应国家科学基金会或其他机构的要求，查明统计问题对公共政策很重要的问题领域，并自行或通过召集其他专家小组在这些领域内进行研究。委员会的大部分研究涉及三个主要主题：改善和进一步发展关于社会和经济状况的数据，包括健康、社会福利和环境；改进统计方法及其应用；综合和协调国家统计。该委员会在跨学科领域发挥领导作用，将注重方法的统计学家和注重定量的社会科学家与联邦机构工作人员聚集在一起，研究对公共政策重要的问题。

This award continues NSF support for the core activities of the Committee on National Statistics (CNSTAT), a standing committee of the National Academy of Sciences-National Research Council (NAS-NRC). The Committee was established in 1972 at the recommendation of the President's Commission on Federal Statistics. It fills a critical gap as a integrative force for a highly decentralized federal statistical system, in which research interests often have lower priority than other concerns. The Committee works to improve, over the long term, the statistical methods and information on which public policy decisions are based. It strengthens, directly and indirectly, the development of data for social, behavioral, and economic science research, makes such data more accessible for research, and furthers the development of methods for measurement, collection, and analysis for research and other purposes. On its own initiative, or at the request of NSF or another agency, the Committee identifies problem areas in which statistical questions are important to public policy and carries out studies within these areas by itself or by convening panels of other experts. Most of the Committee's studies fall under three major themes: improving and furthering the development of data on social and economic conditions, including health, social welfare, and the environment; improving statistical methods and their applications; and integrating and coordinating national statistics. The Committee provides leadership over interdisciplinary areas by bringing methodologically oriented statisticians and quantitatively oriented social scientists together with federal agency staff to work on problems important to public policy.