An Innovative Model for Workforce Development in Statistics
An Innovative Model for Workforce Development in Statistics
批准号:
0839952
负责人:
Michael Lavine
金额:
$60.0万
依托单位:
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
项目状态:
已结题
起止时间:
2009-07-01 至 2015-06-30
中文摘要
该项目由美国国家科学基金会数学与物理科学理事会数学科学部(DMS)和多学科活动办公室(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)和马萨诸塞大学阿默斯特分校之间建立一个联合博士后项目,目的有两个:在文理学院和研究型大学引入新的博士后教师,促进统计学学生、教师和其他五学院研究人员之间的合作研究。在三年的奖学金期间,每位博士后每学期将在一个本科学院教授一门课程,并将成为统计学学生研究团队的首席统计学家和其他学科的调查员。本科教学将由这些学院已有的统计学教授监督,而研究团队将由马萨诸塞大学的统计学教授组织和监督。到任期结束时,博士后教师将受到来自文理学院的几位不同教授的教学指导,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学;博士后教师将作为他们的导师和榜样,为他们提供潜在的新职业选择。在经历了小型学院和大型大学的学术生活后,博士后教师将能够做出更明智的职业选择。现代应用统计学将被介绍给更多处于职业生涯早期的学生和来自其他学科的教师,否则他们可能不熟悉最新的统计发展。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。
英文摘要
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.
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Collaborative Research: CMG: Ocean Circulation Climatology and Dynamics Using Bayesian Hierarchical Methods
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批准号:0221939
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资助金额:$28.95万
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财政年份:2002
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负责人:Michael Lavine
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依托单位:
Mathematical Sciences: Polya Trees for Nonparametric Bayesian Analysis
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批准号:9300137
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项目类别:Standard Grant
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资助金额:$6.0万
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财政年份:1993
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负责人:Michael Lavine
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依托单位:
国内基金
海外基金
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