CyberTraining: CIC: CyberTraining for Students and Technologies from Generation Z

信息技术在社会、工业和研究中发挥着越来越重要的作用。这包括设计和使用大型数据库、模拟和托管在云和融合技术的超级计算机上的人工智能应用程序。相应地，在这些和相关领域对研究人员工作技能的需求也在增加。该项目采用新创建的印第安纳大学网络基础设施工程课程材料，并将其用于培训，重点关注代表性不足的社区的需求。成功的开源软件运动的技术被用来围绕课程和软件创建可持续的社区。该项目正在创造新技术，为当今一代的学生实现这一目标。核心的云计算、大数据、超级计算和人工智能技能在生命科学和纳米技术领域的应用得到了体现。该项目使未来的研究人员能够有效地利用先进的网络基础设施，促进科学进步，促进国家健康、繁荣和福利，服务于国家利益，这是美国国家科学基金会的使命。美国未来的经济发展和研究领导地位取决于拥有一支能够利用国家战略计算计划（NSCI）所阐述的先进网络基础设施（CI）资源的研究队伍。这就要求课程能够改变并整合现代概念和实践，为新一代的学生提供“数据驱动的计算科学与工程”专业知识。该项目借鉴了印第安纳大学从全新的四年制本科工程课程中吸取的经验，该课程是从头开始设计的，迄今为止已经教授给了它的前两个本科班级，并将其投入到开发主动培训模块中。创新课程将大数据、模拟、云和高性能计算系统整合在一个统一的框架中。课程材料是为网络基础设施研究人员社区定制的，通过动态使用GitHub建立、构建和维持，并通过创新工具增强，以构建一个针对网络基础设施密集型课程优化的新型学习管理系统。项目模块包括云计算、大数据应用与分析、网络、高性能计算、人工智能/机器学习和信息可视化。有邀请参与者的住宿课程，也有纯在线课程，这些课程都有“教学生”和“教老师”的模式；后者使类易于传播。完全支持围绕课程材料建立的研究项目的实践学习。该项目提供了Apache软件基金会使用的所有流行方法的网络培训，包括meetup和Hackathons。包括领域科学家和工程师的模块，例如，利用先进的CI方法进行纳米工程和生物工程研究的网络基础设施用户。学生和老师都对课程做出了贡献，改进了文本和软件，包括一组独特的例子，项目旨在表明，通过使用开源软件社区的成熟技术，人们可以建立学习型和可持续性社区。该项目采取积极措施，促进代表性不足的社区参与其活动。该奖项反映了美国国家科学基金会的法定使命，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。

Information technology is playing a dramatically increasing role in society, industry, and research. This includes design and use of large databases, simulations and artificial intelligence applications hosted on clouds and supercomputers with convergent technologies. Correspondingly, there is an increasing need for research workforce job skills in these and related areas. This project takes freshly created Indiana University Engineering course material on this cyberinfrastructure and adapts it for training with an emphasis on the needs of under-represented communities. The techniques of the successful open source software movement are used to create sustainable communities around the course curriculum and software. The project is creating new technologies to enable this for today's generation of students. Skills in core cloud computing, big data, supercomputing and artificial intelligence are exemplified by applications in the life science and nanotechnology areas. This project enables the future research workforce to contribute effectively using advanced cyberinfrastructure, promoting the progress of science and advancing the national health, prosperity, and welfare, which serves the national interest, as stated by NSF's mission. The future economic progress and research leadership of the U.S. is dependent on having a research workforce that is capable of making use of advanced cyberinfrastructure (CI) resources as articulated by the National Strategic Computing Initiative (NSCI). This requires a curriculum that changes and integrates modern concepts and practices for the new generation of students aiming at a "data-enabled computational science and engineering" expertise. This project takes what Indiana University has learned from a brand new four-year undergraduate engineering curriculum designed ab initio and taught so far to its first two undergraduate classes, and invests it into developing active training modules. The innovative curriculum integrates big data, simulations, clouds and high performance computing systems presented in a uniform framework. The course material is customized for communities of cyberinfrastructure researchers nucleated, built, and sustained via the dynamic use of GitHub and enhanced by innovative tools to build a novel learning management system optimized for cyberinfrastructure-intensive classes. The project modules include Cloud Computing, Big Data Applications and Analytics, Networking, High-Performance Computing, Artificial Intelligence/Machine Learning, and Information Visualization. There are residential sessions, with a call for participants, and purely online courses and these have both "teach the student" and "teach the teacher" modes; the latter enables easy spread of the classes. Hands-on learning with research projects built around the class material is fully supported. The project offers CyberTraining with all of the popular approaches used by the Apache Software Foundation, including Meetups and Hackathons. Modules for domain scientists and engineers, e.g., the cyberinfrastructure users that exploit advanced CI methods for research in nanoengineering and bioengineering are included. Both students and teachers contribute to the course improving the text, the software, including a unique set of examples and the project aims to show that one can build both learning and sustainability communities by using the proven techniques of the open source software community. The project uses proactive measures to enhance the involvement of under-represented communities in its activities.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.