EMSW21-RTG Statistics for Physical and Engineering Sciences: A Plan for the Establishments of a Research Training Group

国家科学基金会弗吉尼亚州阿灵顿22230年研究培训小组计划2005年提案ID：DMS-0502347 PI：Carriquiri，Alicia L.NSF计划：数学科学机构的劳动力：爱荷华州立大学标题：EMSW21-物理和工程科学的RTG统计：建立研究培训小组的计划小组和特别评级：E，E，G，V，V，V。统计学家在解决重要的、具有挑战性的科学问题的跨学科研究中发挥着越来越重要的作用。这个RTG项目的总体目标是在一个跨学科的、经验的(第一手的)研究环境中为物理和工程科学培训年轻的统计人员，该环境汇集了来自工业、政府和学术界的科学家。该计划旨在通过与外部合作伙伴科学家的合作，以及通过在跨学科研究方面教育和培训本科生和研究生来解决国家重要的问题。为实现这一目标而计划的活动包括提供经验研究部分的学生实习，以及伙伴科学家和执行支助股教职员工之间的短期访问，以启动和扩大研究协作。这些活动还将包括爱荷华州统计局的联合博士项目扩展、新课程的开设、每周RTG研讨会，以及关于RTG研究主题的两个讲习班。RTG最初的五个重点领域是：关键系统的可靠性、纳米计量和高通量技术、复杂物理系统的计算机模型的校准、加速发现有用的新化合物以及大型无线网络等复杂系统的行为。这种体验式、跨学科的研究环境的创建和发展，将为教育和培训国家下一代统计学家提供一个全国模式，在促进教育和学习的同时推进科学发现。预期成果有可能得到广泛实施，并在复杂的物理和信息网络、纳米技术和高性能材料发现等重要应用领域提供解决方案。统计学家在解决重要的、具有挑战性的科学问题的跨学科研究中发挥着越来越重要的作用。这个RTG项目的总体目标是在一个跨学科的、经验的(第一手的)研究环境中为物理和工程科学培训年轻的统计人员，该环境汇集了来自工业、政府和学术界的科学家。该计划旨在通过与外部合作伙伴科学家的合作，以及通过在跨学科研究方面教育和培训本科生和研究生来解决国家重要的问题。为实现这一目标而计划的活动包括提供经验研究部分的学生实习，以及伙伴科学家和执行支助股教职员工之间的短期访问，以启动和扩大研究协作。这些活动还将包括爱荷华州统计局的联合博士项目扩展、新课程的开设、每周RTG研讨会，以及关于RTG研究主题的两个讲习班。RTG最初的五个重点领域是：关键系统的可靠性、纳米(超小规模)计量和高通量技术、复杂物理系统计算机模型的校准、加速发现有用的新化合物以及大型无线网络等复杂系统的行为。这种体验式、跨学科的研究环境的创建和发展，将为教育和培训国家下一代统计学家提供一个全国模式，在促进教育和学习的同时推进科学发现。预期的成果有可能被广泛实施，并在重要的应用领域提供解决方案，如复杂的物理和信息网络、纳米(极小规模)技术和高性能材料发现

NATIONAL SCIENCE FOUNDATIONArlington, Virginia 22230ABSTRACTResearch Training Groups ProgramFY 2005Prop ID: DMS-0502347 PI: Carriquiri, Alicia L.NSF Program: WORKFORCE IN THE MATHEMATICAL SCIENCES Institution: Iowa State University Title: EMSW21-RTG statistics for Physical and engineering sciences: A plan for the establishment of a research training groupPanel and ad-hoc Ratings: E, E, G, V, V, V.Statisticians are playing an increasingly important role in cross-disciplinary research addressing important, challenging scientific problems. The overall objective of this RTG program is to train young statisticians in Statistics for the Physical and Engineering Sciences in a cross-disciplinary, experiential (first-hand exposure) research environment, that brings together scientists from industry, government, and academia. This program aims to solve problems of national importance through collaboration with external partner scientists, and by educating and training undergraduates and graduate students, in cross-disciplinary research. Activities planned to achieve the objective include student internships providing an experiential research component and shorter-term visits between partner scientists and ISU faculty members to initiate and extend research collaboration. The activities will also include joint Ph.D. program expansion in the Iowa State Statistics Department, new course offerings, weekly RTG seminars, and two workshops on topics of research in the RTG. The five initial focus areas for the RTG are: reliability of critical systems, nano-metrology and high throughput technologies, calibration of computer models of complex physical systems, accelerated discovery of useful new chemical compounds and behavior of complicated systems such as large wireless networks. The creation and development of this experiential, cross-disciplinary research environment for educating and training the nation's next-generation statisticians will provide a national model for advancing scientific discovery while promoting education and learning. Expected results have the potential to be implemented widely and to provide solutions in important areas of application, such as complex physical and information networks, nano-technology, and high-performance material discovery. Statisticians are playing an increasingly important role in cross-disciplinary research addressing important, challenging scientific problems. The overall objective of this RTG program is to train young statisticians in Statistics for the Physical and Engineering Sciences in a cross-disciplinary, experiential (first-hand exposure) research environment, that brings together scientists from industry, government, and academia. This program aims to solve problems of national importance through collaboration with external partner scientists, and by educating and training undergraduates and graduate students, in cross-disciplinary research. Activities planned to achieve the objective include student internships providing an experiential research component and shorter-term visits between partner scientists and ISU faculty members to initiate and extend research collaboration. The activities will also include joint Ph.D. program expansion in the Iowa State Statistics Department, new course offerings, weekly RTG seminars, and two workshops on topics of research in the RTG. The five initial focus areas for the RTG are: reliability of critical systems, nano (very small-scale)-metrology and high throughput technologies, calibration of computer models of complex physical systems, accelerated discovery of useful new chemical compounds and behavior of complicated systems such as large wireless networks. The creation and development of this experiential, cross-disciplinary research environment for educating and training the nation's next-generation statisticians will provide a national model for advancing scientific discovery while promoting education and learning. Expected results have the potential to be implemented widely and to provide solutions in important areas of application, such as complex physical and information networks, nano (very small-scale)-technology, and high-performance material discovery