Collaborative Research: ITR PI Meeting and Research Assessment
Collaborative Research: ITR PI Meeting and Research Assessment
批准号:
0432638
负责人:
Sara Kiesler
金额:
$0.0万
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
中文摘要
信息技术研究(ITR)计划是美国国家科学基金会(NSF)的一个独特的跨学科计划。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方案的经验,提出了两个相关的工作阶段。在第一阶段,将举行ITR主要研究者(PI)会议。这次会议将促进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。将从ITR PI会议上收集详细的现场记录。我们将对它们进行系统的分析,然后应用到下一阶段。在第二阶段,将分析导致国际贸易研究报告项目取得更大成功的因素。将开展一项调查,收集客观数据,以定量评估项目的不同属性,如地理分散性、学科数量和协调战略,如何影响项目的实施方式和取得的研究成果。 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。智力价值在于使用不同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计划,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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