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Collaborative Research: ITR PI Meeting and Research Assessment

Collaborative Research: ITR PI Meeting and Research Assessment
合作研究:ITR PI 会议和研究评估
批准号:
0432638
负责人:
Sara Kiesler
金额:
$0.0万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2004
资助国家:
美国
项目状态:
已结题
起止时间:
2004-06-01 至 2008-05-31

项目摘要

项目成果

Sara Kiesler的其他基金

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中文摘要
翻译
信息技术研究(ITR)项目是美国国家科学基金会(NSF)的一个独特的跨学科项目。它旨在资助创新的信息技术研究和教育。为了评估和学习ITR计划的经验,提出了两个相关的工作阶段。在第一阶段,将举行ITR首席研究员(PI)会议。本次会议将促进ITR pi和NSF项目官员之间的信息交流和合作经验,以了解ITR项目的成果。详细的现场记录将从ITR PI会议中收集。它们将被系统地分析,然后应用到下一阶段。在第二阶段,将分析导致ITR项目更大成功的因素。将创建一项调查并收集客观数据,以定量评估项目的不同属性(如地理分散、学科数量和协调策略)如何影响项目的实施方式和研究成果。项目将与NSF的GPRA目标进行比较,以提高研究知识,研究基础设施,科学和工程培训和人员,以及社会对科学的使用和理解。智力上的优点在于使用多样化的指标和系统的以用户为中心的研究设计来评估跨学科的研究项目,如ITR。更广泛的影响包括促进对成功的跨学科、分布式科学工作的理解和政策。
英文摘要
The Information Technology Research (ITR) program is a unique, interdisciplinary program at the National Science Foundation (NSF). It is designed to fund innovative information technology research and education. To assess and learn from the experiences of the ITR program, two related phases of work are proposed. In the first phase, an ITR Principal Investigator (PI) meeting will be held. This meeting will foster an exchange of information and collaborative experiences among ITR PIs and NSF Program Officers to learn the outcomes of the ITR program. Detailed field notes will be collected from the ITR PI meeting. They will be analyzed systematically, and then applied to the next phase. In the second phase, the factors that lead to greater success in ITR projects will be analyzed. A survey will be created and objective data will be collected to evaluate quantitatively how different attributes of projects, such as geographic dispersion, number of disciplines and coordination strategies, effect the way that projects are conducted and research outcomes achieved. Projects will be assessed in comparison with NSF's GPRA goals to improve research knowledge, research infrastructure, scientific and engineering training and personnel, and society's use and understanding of science. The intellectual merit lies in the use of diverse metrics and systematic user-centered research design to assess interdisciplinary research programs, such as ITR. The broader impacts include advancing understanding and policy for successful interdisciplinary, distributed scientific work.
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