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大的作用。这包括设计和使用大型数据库、模拟和托管在云和采用融合技术的超级计算机上的人工智能应用程序。相应地，在这些领域和相关领域对研究人员工作技能的需求也越来越大。该项目采用了印第安纳大学新创建的关于这种网络基础设施的工程课程材料，并对其进行调整以用于培训，重点是未得到充分代表的社区的需求。成功的开源软件运动的技术被用来围绕课程课程和软件创建可持续的社区。该项目正在创造新的技术，为今天的这一代学生实现这一点。核心云计算、大数据、超级计算和人工智能方面的技能以生命科学和纳米技术领域的应用为例。该项目使未来的研究人员能够利用先进的网络基础设施有效地做出贡献，促进科学进步，促进国家健康、繁荣和福利，这符合NSF的使命所规定的国家利益。美国未来的经济进步和研究领先地位取决于拥有一支能够利用国家战略计算倡议(NSCI)所阐明的先进网络基础设施(CI)资源的研究队伍。这就需要为新一代学生设计一门能够改变和整合现代概念和实践的课程，其目标是掌握“数据使能的计算科学和工程”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学到的东西，该课程从头开始设计，迄今已教授给前两个本科班级，并投资于开发积极的培训模块。创新的课程将大数据、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来构建、构建和维持，并通过创新工具来增强，以构建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、大数据应用和分析、网络、高性能计算、人工智能/机器学习和信息可视化。有邀请参与者参加的住宅课程，以及纯在线课程，这些课程都有“教学生”和“教老师”两种模式；后者使课程很容易传播。完全支持围绕课堂材料构建的研究项目的动手学习。该项目提供网络培训，使用阿帕奇软件基金会使用的所有流行方法，包括Meetup和黑客松。还包括面向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。学生和教师都致力于改进教材、软件，包括一组独特的例子，该项目旨在表明，一个人可以通过使用开放源码软件社区经过验证的技术来建立学习和可持续发展社区。该项目采用积极主动的措施，加强代表不足的社区参与其活动。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势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.