CC* Planning: UCCS Computational Cluster for Science
CC* Planning: UCCS Computational Cluster for Science
批准号:
2018982
负责人:
Yanyan Zhuang
金额:
$5.39万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2020
资助国家:
美国
项目状态:
已结题
起止时间:
2020-12-01 至 2023-11-30
中文摘要
科罗拉多大学科罗拉多斯普林斯分校(UCCS)于2019年被列为“高研究活动”大学,是一所转型中的学校。虽然UCCS有良好的网络基础设施用于教育目的,但迫切需要和机会制定一项计划,为科学研究提供计算支持。最大化计算基础设施的影响取决于使用的规模和范围。该项目的一个主要部分是分析UCCS当前和计划中的科学计算需求,然后将其映射到设计中,这需要仔细研究以优化。研究人员正在使用多管齐下的方法来提高认识,收集定性数据,并收集基于既定动机理论的定制数据。这一方法产生基线数据,并评估随着未来基础设施变化而发生的变化。这一规划项目的一个目标是设计和测试网络愿望和准备评估工具。该工具作为一个理论驱动的工具,纵向评估的初步愿望,对障碍的看法,和成功的机会。这一规划过程有助于校园内的STEM教师更好地了解计算如何加速他们的研究,以及他们如何利用不同的计算资源。这样的模型,流程和经验不仅有利于UCCS,但可以复制在其他机构的风险评估,基准测试,和其他活动在他们的计算基础设施规划。该网络基础设施计划为UCCS及其他机构的科学、工程和教育团队提供了急需的能力。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
Classified as a “high research activity” university in 2019, the University of Colorado Colorado Springs (UCCS) is a school in transition. While UCCS has good Cyber Infrastructure for educational purposes, there is an urgent need and opportunity to develop a plan for computational support for scientific research. Maximizing a computational infrastructure’s impact depends on the scale and scope of usage. A major part of this project is the analysis of the current and planned scientific computational needs at UCCS and then mapping them to design, which requires careful research to optimize. The investigators are using a multi-pronged approach to raise awareness, gather qualitative data, and collect custom data grounded within established motivational theory. This approach yields baseline data and assesses change over time with future infrastructural changes.One aim of this planning project is the design and testing of a Cyber Aspirations and Readiness Assessment (CARA) instrument. The instrument serves as a theoretically driven tool for longitudinal assessment of initial aspirations, perceptions of barriers, and opportunities for success. This planning process helps STEM faculty across campus better understand how computing could accelerate their research, and how they could utilize different computational resources. Such a model, processes, and experiences not only benefit UCCS, but could be replicated at other institutions for their risk assessment, benchmarking, and other activities during their computation infrastructure planning. This plan for a cyber infrastructure provides a much needed capability required by a broad range of science, engineering, and education teams at UCCS and beyond.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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