Cybertraining: Implementation: Small: CIberCATSS, A Comprehensive, Applied and Tangible CyberInfrastructure Summer School in Southeastern Wisconsin

网络培训：实施：小型：CIberCATSS，威斯康星州东南部的综合性、应用性和有形的网络基础设施暑期学校

• 批准号: 2229652
• 负责人: Philip Chang
• 金额: $ 49.96万
• 依托单位: University of Wisconsin-Milwaukee
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-01-01 至 2025-12-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2229652&HistoricalAwards=false
• 关键词: Cybertraining; Implementation; Small; CIberCATSS; Comprehensive

Computing is an important part of modern research in many diverse areas, but comprehensive knowledge of how to apply computing and cyberinfrastructure (CI) to research problems is lacking both in the undergraduate and graduate curriculum. This lack of knowledge puts scientists at the beginning of their careers at a severe disadvantage and reduces the overall national research productivity. The project based at the University of Wisconsin-Milwaukee and partner institutes aims to address this major issue by presenting a project-based summer school in cyberinfrastructure for diverse research domains, called CIberCATSS. The participants in the school gain comprehensive knowledge of computing and its application to state-of-the-art research questions. The participants become superbly trained members of the national STEM workforce, advancing the national welfare and ensuring future prosperity. By training students with diverse backgrounds, the project will also improve the diversity and quality of the STEM workforce.The CIberCATSS program trains a competitively-selected group of summer students in advanced computation and cyberinfrastructure in the context of specific research problems. The seven-week summer school starts with three weeks of formal instruction in computing that ranges from basic programming to machine learning. The material is delivered in person and is captured for later dissemination on the web. This instruction is followed by four weeks of a short-term computational project where students apply the gained knowledge in a research context. In doing so, the learned material is placed in a disciplinary context and gaps in knowledge of how to apply the learned material to research problems are addressed. Progress both in learning and in the execution of the project is ensured by a combination of one-on-one time with domain experts and a low student-to-teaching assistant ratio. Participants in the program develop a rock-solid foundation in computing and cyberinfrastructure and apply this knowledge in a research context during the summer workshop and in their future research careers.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.

计算是许多不同领域现代研究的重要组成部分，但本科生和研究生课程都缺乏如何应用计算和网络基础设施 (CI) 来研究问题的全面知识。 这种知识的缺乏使处于职业生涯初期的科学家处于严重不利地位，并降低了国家整体研究生产力。该项目位于威斯康星大学密尔沃基分校和合作机构，旨在通过为不同研究领域提供基于项目的网络基础设施暑期学校（称为 CIberCATSS）来解决这一重大问题。学校的参与者获得全面的计算知识及其在最先进的研究问题中的应用。参与者成为国家 STEM 劳动力中训练有素的成员，促进国家福利并确保未来繁荣。 通过培训具有不同背景的学生，该项目还将提高 STEM 劳动力的多样性和质量。CIberCATSS 项目在特定研究问题的背景下，对一组经过竞争挑选的暑期学生进行高级计算和网络基础设施方面的培训。为期七周的暑期学校首先进行三周的正式计算教学，范围从基础编程到机器学习。该材料是亲自交付的，并被捕获以便稍后在网络上传播。此指令之后是为期四个星期的短期计算项目，学生在研究环境中应用所获得的知识。在此过程中，所学材料被置于学科背景中，并解决了如何将所学材料应用于研究问题的知识差距。与领域专家一对一的交流以及较低的学生与助教比例相结合，确保了学习和项目执行的进展。 该计划的参与者在计算和网络基础设施方面打下了坚实的基础，并将这些知识应用于夏季研讨会期间的研究背景以及未来的研究生涯中。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准。