Committee on Applied and Theoretical Statistics

提案ID: DMS-0456571前版本：0119560 PI: Weidman， Scott T.机构：美国国家科学院头衔：应用与理论统计委员会摘要应用与理论统计委员会（CATS）通过定义和发起对社区重要的研讨会和研究，帮助阐明统计科学的有前途的研究方向。最近的活动包括大规模数据流统计分析（2002年12月）和不确定信息可视化（2005年3月）的广泛跨学科研讨会。前者导致了《计算与图形统计杂志》的特刊（2003年12月）和由国家科学院出版社出版的研讨会论文集。计划中的活动包括计划于2005年9月举行的关于网络统计的跨学科讲习班，以及监督一项为指纹分析建立更好的研究基础的研究。由于CATS在美国国家科学院中的地位，它在加强统计科学与其他领域之间的联系方面处于有利地位。它随时可以接触到科学、工程、教育和医学各个领域的领导者。这种访问使CATS具有独特的能力，可以召集包括统计在内的各个领域的领导人，以跨学科的方式解决技术和政策问题。此外，该委员会在国家科学院中的地位使其能够接触联邦机构和公共政策的领导人，这使CATS能够确定需要统计科学界投入的具有国家重要性的新问题。

Proposal ID: DMS-0456571 Prev Awd: 0119560 PI: Weidman, Scott T. Institution: National Academy of Sciences Title: COMMITTEE ON APPLIED AND THEORETICAL STATISTICS ABSTRACTThe Committee on Applied and Theoretical Statistics (CATS) helps to illuminate promising research directions for the statistical sciences by defining and launching workshops and studies of importance to the community. Recent activities have included broadly cross-disciplinary workshops on Statistical Analysis of Massive Streams of Data (December, 2002) and on Visualization of Uncertain Information (March, 2005). The former of these led to a special issue of the Journal of Computational and Graphical Statistics (December 2003) and to a workshop proceedings published by the National Academy Press. Planned activities include a cross-disciplinary workshop on Statistics on Networks, planned for September 2005, and oversight of a study to establish an improved research foundation for fingerprint analysis.Because of its position within the National Academies, CATS is well situated to strengthen connections between the statistical sciences and other fields. It has ready access to the leaders in all fields of science, engineering, education, and medicine. This access gives CATS a unique capability for assembling leaders in a variety of fields, including statistics, to address technical and policy issues in a cross-disciplinary fashion. In addition, the Committee's position within the National Academies gives it access to leaders in federal agencies and public policy, which enables CATS to identify emerging issues of national importance that require input from the statistical sciences community.