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

REU网站项目将为本科生提供为期8周的暑期在线研究体验，学习如何利用现代数据科学和高性能计算（HPC）技术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，让学生无需旅行就可以进行研究，并与全国的专家一起工作。近年来，在许多科学和工程学科中，可用数据集的天文数字增长往往需要大数据分析技术来高效和有效地处理大数据集并从中获取知识。该项目将帮助学生在面对科学和工程领域的大数据时识别前沿研究挑战，并指导学生利用先进的网络基础设施软件技术（如大数据、分布式机器/深度学习、HPC）和硬件资源（如大数据集群、CPU集群和GPU集群）开展研究，以解决研究挑战。该计划将在“数据+计算+ X”的关键需求领域提供国家劳动力的发展，其中“X”是各种应用领域。通过三个阶段的培训——正式指导、团队研究和传播——REU网站计划将i)鼓励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)通过每个项目应用领域的研究导师、研究生助理和跨学科合作者的指导，提供跨学科团队研究经验；iii)提供关键专业技能（如协作、沟通、演讲和写作）和科学论文准备和演讲经验的综合培训。这个REU网站将提供一个独特而全面的项目，在具有丰富跨学科研究和在线教育经验的教师团队的指导下，整合以下要素：1)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的前沿研究，2)利用现代通信工具的在线研究经验，3)基于团队的跨学科研究和沟通经验，4)互补的专业发展活动（例如，研究生院准备，知名研究人员的邀请演讲，以及与大学领导层的互动），5)本科在线培训体验教育研究。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。

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 work with experts nationwide. In recent years, 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 gain knowledge from them. The program will help students identify frontier research challenges when facing big data in science and engineering, and guide students to conduct research to tackle the research challenges using advanced cyberinfrastructure software technologies (e.g., big data, distributed machine/deep learning, HPC) and hardware resources such as big data clusters, CPU clusters, and GPU clusters. The program will provide development of the national workforce in areas of critical need on "Data + Computing + X", where "X" is a variety of application areas. By having three phases of training -- formal instruction, team-based research, and dissemination -- this REU Site program will i) encourage students' interests in how data science and high-performance computing techniques could help 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 area of each project; and iii) provide integrated training on crucial professional skills (e.g., collaboration, communication, presentation, and writing) and experiences with 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 experiences 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 experiences, 4) complementary professional development activities (e.g., graduate school preparation, invited talks from established researchers, and interaction with university leadership), 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.