REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering

该REU网站计划将为本科生提供为期8周的暑期在线研究体验，介绍如何利用现代数据科学和高性能计算（HPC）技术来处理和分析许多科学和工程学科（如大气科学，机械工程和医学）中的大数据。REU网站计划将完全在网上进行，让学生进行研究，而无需旅行，并与全国各地的专家合作。近年来，许多科学和工程学科中可用数据集的天文数字式增长通常需要大数据分析技术来高效地处理大型数据集并从中获取知识和见解。该计划将帮助学生识别在科学和工程中面临大数据时遇到的前沿研究挑战，并指导学生使用先进的网络基础设施软件技术（大数据，分布式机器/深度学习，HPC等）进行研究以应对这些挑战。和硬件资源（包括大数据集群、CPU集群和GPU集群）。该计划将在“数据+计算+ X”的关键需求领域发展国家劳动力。正如NSF的使命所述，该项目符合国家利益，促进科学进步，促进国家繁荣和福利。通过三个阶段的培训，即正式教学，基于团队的研究和传播，这个REU网站计划将i）点燃学生对数据科学和高性能计算技术如何通过跨学科研究项目帮助科学发现过程的兴趣; ii）通过研究导师，研究生助理，（iii）提供关键专业技能的综合培训（包括合作、沟通、演讲和写作技巧，以及撰写和发表科学论文的经验）。该REU网站将提供一个独特而全面的计划，在教师团队的指导下整合以下元素，他们在跨学科研究和在线教育方面拥有丰富的经验：1）前沿研究将先进的网络基础设施技术与科学和工程领域的大数据挑战联系起来，2）利用现代通信工具的在线研究经验，3）团队为基础的跨学科研究和交流经验，4）补充专业发展活动（如研究生院准备，邀请知名研究人员进行讲座，以及与大学管理人员（包括学院院长和系主任）进行互动），5）关于在线本科生培训经验的教育研究。该奖项反映了NSF的法定使命，并被认为值得通过使用基金会的智力价值和更广泛的影响审查标准进行评估来支持。

This REU Site program will provide 8-week summer online research experiences to undergraduates on how to utilize modern data science and high-performance computing (HPC) techniques to process and analyze big data in many science and engineering disciplines such as Atmospheric Science, Mechanical Engineering, and Medicine. The REU Site program will be conducted purely online to allow students to conduct research without traveling and to work with experts nationwide. In recent years, the astronomical growth of available datasets in many science and engineering disciplines often requires big data analytics techniques to efficiently and effectively process the large datasets and obtain knowledge and insight from them. The program will help students identify frontier research challenges encountered when facing big data in science and engineering, and guide students to conduct research to tackle those challenges using advanced cyberinfrastructure software technologies (big data, distributed machine/deep learning, HPC, etc.) and hardware resources (including big data clusters, CPU clusters and GPU clusters). The program will develop the national workforce in areas of critical need on “Data + Computing + X”. The project thus serves the national interest, as stated by NSF's mission, to promote the progress of science and advance the national prosperity and welfare. By having three phases of training, namely formal instruction, team-based research and dissemination, this REU Site program will i) ignite students' interest in how data science and high-performance computing techniques can aid in the scientific discovery process via interdisciplinary research projects; ii) provide interdisciplinary team-based research experiences via guidance from research mentors, graduate assistants, and interdisciplinary collaborators in the application domain area of each project; and iii) provide integrated training on crucial professional skills (including skills in collaboration, communication, presentation and writing, and experience in scientific paper preparation and presentation). This REU Site will provide a unique and comprehensive program integrating the following elements under the guidance of the faculty team, who have extensive experience in interdisciplinary research and online education: 1) frontier research connecting advanced cyberinfrastructure techniques with big data challenges in science and engineering, 2) online research experience that leverages modern communication tools, 3) team-based interdisciplinary research and communication experience, 4) complementary professional development activities (such as graduate school preparation, invited talks from established researchers, and interaction with university administers including college deans and department chairs), 5) educational research on online undergraduate training experiences.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.