VIGRE in Statistics at Carnegie Mellon

在卡内基梅隆大学，统计系的Vigre计划将让所有受训人员参与有监督的跨学科研究，在那里他们将学习如何将研究问题转化为适当的统计问题，解决这些问题，并将结果转化为相关科学界可以访问的产品。这项技能也是学习基本统计的核心，形成了研究和教育之间的概念联系，促进了两者的融合。在研究生一级，这一过程中的经验包括一个为期一年的项目，通常由另一个领域的教员担任，而统计学教员担任顾问；提供一系列步骤，以提高沟通技能和教学效率，并在专业成长领域提供指导。将对研究生课程进行修改，使其在培养跨学科技能方面更加有效。本科生将有几门新课程可用，并将参与一个顶峰研究项目，我们将运行一个暑期项目，重点是少数族裔学生。博士后研究员将参与研究项目，并将与资深教师共同教授课程。他们还将参加结构化的指导会议。本科生、研究生和博士后实习生将整合到研究团队中。卡内基梅隆大学的Vigre统计学项目将(I)培训博士后研究员从事需要多才多艺的研究，(Ii)招募和留住美国研究生，避免过多的时间完成博士学位，同时为学生提供毕业后的高成功几率，(Iii)帮助增加美国本科生的数量，包括女性和少数族裔，接受统计科学方面的高级培训。在为统计实践保持强大的学科基础的同时，该计划强调跨学科研究和了解统计新手的需求。

At Carnegie Mellon University, the VIGRE program of the Department of Statistics will involve all trainees in supervised, cross-disciplinary research, where they will learn how to translate a research question into well-posed statistical problems, solve these problems, and translate the results back into a product that is accessible to the relevant scientific community. This skill is also central to learning basic statistics and forms a conceptual link between research and education, facilitating their integration. At the graduate level experience in the process includes a year-long project, typically with a faculty member in another domain, while a Statistics faculty member serves as advisor; provides a series of steps to improve communication skills and teaching effectiveness, and mentors in the area of professional growth. The graduate curriculum will be modified to make it more effective in building cross-disciplinary skills. Undergraduates will have several new courses available and will be involved in a capstone research project, and we will run a summer program, emphasizing minority students. Postdoctoral fellows will be involved in research projects, and will co-teach courses with senior faculty. They will also participate in structured mentoring sessions. Undergraduate, graduate, and postdoctoral trainees will be integrated in research teams. The Carnegie Mellon VIGRE program in Statistics will (i) train postdoctoral fellows for careers emphasizing research in settings that require versatility, (ii) recruit and retain U.S. graduate students, avoiding excessive time to complete Ph.D.s while providing students with a high probability of success after graduation, and (iii) help increase the numbers of U.S. undergraduates, including women and minorities, with advanced training in statistical science. While maintaining a strong disciplinary foundation for statistical practice, the program emphasizes cross-disciplinary research and understanding the needs of statistical novices.