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

计算是现代研究在许多不同领域的重要组成部分，但如何应用计算和网络基础设施（CI）的研究问题的全面知识是缺乏在本科和研究生课程。 这种知识的缺乏使科学家在其职业生涯的开始处于严重的不利地位，并降低了国家的整体研究生产力。该项目位于威斯康星大学密尔沃基分校和合作机构，旨在解决这一重大问题，为不同的研究领域提供基于项目的网络基础设施暑期学校，称为CiberCATSS。在学校的参与者获得计算的全面知识及其应用到国家的最先进的研究问题。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的繁荣。 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计划在特定研究问题的背景下，对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从三周的正式计算教学开始，从基本编程到机器学习。这些材料是亲自提供的，并被收集起来，以便以后在网上传播。该指令之后是为期四周的短期计算项目，学生在研究环境中应用所获得的知识。在这样做时，学习材料被放置在一个学科的背景下，并在如何将学习材料应用于研究问题的知识差距得到解决。在学习和项目执行方面的进展都是通过与领域专家一对一的时间和较低的学生与助教比例相结合来确保的。 该计划的参与者在计算和网络基础设施方面建立了坚如磐石的基础，并在夏季研讨会期间将这些知识应用于研究背景和未来的研究生涯中。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。

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.