CGS/NSF Dean in Residence

该项目正在更新美国国家科学基金会的院长驻校计划（Dean-in-Residence Program）。这个项目在21世纪世纪早期已经运行过两次。该计划是研究生院理事会（CGS）和研究生教育司之间的合作活动。 它旨在通过国家科学基金会（NSF）和研究生院理事会代表的研究生社区之间的伙伴关系，改善对研究生STEM教育问题的沟通和理解，研究生院是美国唯一一个专门致力于研究生教育和研究的组织，拥有500多所高等教育机构的成员。该计划的核心目的是改善研究生教育和NSF的高级大学领导人之间的实质性持续沟通。这种伙伴关系可以显着促进研究生教育的NSF组合，并导致在美国的研究生教育的改善该计划每年通过由NSF和CGS的新院长的联合选择更新的奖学金。被选中的人至少有60%的时间居住在NSF，最多80%的时间居住在NSF，其余的工作时间在CGS度过。 近年来，CGS开展了大规模的项目，并增加了对NSF评估其支持研究生项目有效性有用的分析。 一个例子是博士完成项目-一个长期的努力，以准确地衡量有多少比例的学生被录取到博士课程完成他们的学位在一定的时间内，如何完成率不同的关键变量（如学位领域），以及如何提高完成。 总的来说，CGS提供的分析和数据对NSF计划的规划和评估是有价值的。

This project is renewing the Dean-in-Residence Program (DIR) at the National Science Foundation. This program has been run twice before in the early 21rst Century. The DIR program is a cooperative activity between the Council of Graduate Schools (CGS) and the Division of Graduate Education. It is designed to improve communication and understanding about issues in graduate STEM education through a partnership between the National Science Foundation (NSF) and the graduate community represented by the Council of Graduate School, which is the only U.S. organization dedicated solely to the advancement of graduate education and research, with a membership of over 500 institutions of higher education. The core purpose of the DIR Program is to improve substantive ongoing communications between senior university leaders of graduate education and the NSF. This partnership can contribute significantly to the NSF portfolio in graduate education and result in the improvement of graduate education in the U.S. The program renews the DIR each year through the joint selection of a new dean by NSF and CGS. The selected individual is in residence at the NSF at least 60% of the time and as much as 80%, with the remaining work time spent at CGS. In recent years, the CGS has undertaken large scale projects and increased analyses that are useful to the NSF in assessing the effectiveness of their programs to support graduate students. An example is the Doctoral Completion project - a long term effort to measure accurately what fraction of students admitted to PhD programs complete their degrees in a certain amount of time, how completion rates differ by key variables (e.g. field of degree), and how to improve completion. In general the analyses and data provided by CGS are valuable to NSF program planning and evaluation.