An Innovative Model for Workforce Development in Statistics

统计劳动力发展的创新模型

• 批准号: 0839952
• 负责人: Michael Lavine
• 金额: $ 60万
• 依托单位: Five Colleges Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-07-01 至 2015-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0839952&HistoricalAwards=false
• 关键词: Innovative; Model; Workforce; Development; Statistics

This project, which is cofunded by the Division of Mathematical Sciences (DMS) and the Office of Multidisciplinary Activity (OMA) in the NSF Directorate of Mathematical and Physical Sciences, will develop a joint postdoctoral program among the Five Colleges --- Amherst, Hampshire, Mount Holyoke, and Smith Colleges and the University of Massachusetts, Amherst --- for two purposes: to introduce new postdoctoral faculty to professional life at liberal arts colleges and research universities and to foster collaborative research among statistics students and faculty and other Five College researchers. During the three-year fellowship, each postdoctoral associate will teach one course per semester at one of the undergraduate colleges and will be the lead statistician on a research team of statistics students and an investigator from another discipline. The undergraduate teaching will be overseen by the statistics faculty already at those colleges, while the research teams will be put together and overseen by the statistics faculty at the University of Massachusetts. By the end of their appointments, the postdoctoral faculty will have been mentored in teaching by several different professors from liberal arts colleges and will have participated in several different multidisciplinary research projects.The mathematical workforce will benefit in several ways. Graduate and undergraduate students on the research teams will experience applied statistics through collaborative research; the postdoctoral faculty will serve as their mentors and role models for potential new career options. The postdoctoral faculty will be able to make more informed career choices after having been introduced to academic life in both small colleges and large universities. Modern applied statistics will be introduced to more students earlier in their careers and to faculty from other disciplines who might not otherwise become familiar with recent statistical developments. Researchers from all fields can bring their quantitative research questions to center for statistical consulting and collaboration.

该项目由数学科学部（DMS）和NSF数学和物理科学理事会多学科活动办公室（OMA）共同资助，将在五所学院-阿默斯特、汉普郡、霍利奥克山和史密斯学院以及马萨诸塞州大学阿默斯特分校-之间开发一个联合博士后项目，目的有二：将新的博士后教师引入文科学院和研究型大学的职业生活，并促进统计学生和教师以及其他五所大学研究人员之间的合作研究。 在为期三年的奖学金期间，每个博士后助理将在其中一所本科院校每学期教授一门课程，并将成为统计学生研究团队的首席统计学家和来自另一学科的调查员。 本科教学将由这些学院的统计系负责监督，而研究小组将由马萨诸塞州大学的统计系负责监督。 在他们的任期结束时，博士后教师将在教学中得到来自文理学院的几位不同教授的指导，并将参与几个不同的多学科研究项目，数学工作者将在几个方面受益。研究团队的研究生和本科生将通过合作研究体验应用统计;博士后教师将作为他们的导师和潜在新职业选择的榜样。博士后教师将能够在小型学院和大型大学的学术生活中进行更明智的职业选择。 现代应用统计学将介绍给更多的学生在他们的职业生涯早期和教师从其他学科谁可能不熟悉最近的统计发展。来自各个领域的研究人员可以将他们的定量研究问题带到统计咨询和合作中心。