REU Site: iCER ACRES: iCER Advanced Computational Research Experience for Students

REU 网站：iCER ACRES：为学生提供 iCER 高级计算研究体验

• 批准号: 1949912
• 负责人: Brian O'Shea
• 金额: $ 40.12万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949912&HistoricalAwards=false
• 关键词: REU; Site; iCER; ACRES; Advanced

The Advanced Computational Research Experiences at Michigan State University offers undergraduate students from a wide variety of backgrounds the opportunity to conduct cutting-edge research in computational and data science. In addition to research, students participate in a variety of technical training activities. Such activities include Python programming, data analysis and visualization, supercomputing, and scientific software development. The program also provides a variety of professional development activities, targeting presentation skills, technical writing, and discussions relating to graduate school and a wide range of career opportunities. This ten-week summer program trains students in computational and data science, gives them the freedom to explore a range of subject areas and career paths, and provides research opportunities to students from under-represented groups in STEM and from non-research-intensive colleges and universities.The Advanced Computational Research Experiences Research Experience for Undergraduates (ACRES REU) at Michigan State University (MSU) offers students the opportunity to conduct cutting-edge research in computational and data science under the supervision of faculty who are recognized experts in their disciplines. This 10-week summer residential program includes MSU faculty from a wide variety of STEM fields whose research focuses on algorithms pertaining to, and applications of, computational modeling and data science. In addition, peer- and near-peer mentoring, professional development, and technical training are key components of the program. One of the strengths of this REU site lies in the rich interdisciplinary collaborative research environment fostered between student teams consisting of pairs of REU students, their mentors who have expertise in conducting research in computational science, data science, and high-performance computing, and technical trainers. These elements combine to empower undergraduates to conduct meaningful original research focused on the development and enhancement of algorithms for computational modeling and data science, as well as the application of these algorithms to cutting-edge applications in a wide range of STEM fields. In addition, this project will broaden the participation of underrepresented populations in STEM research. Furthermore, it will provide early exposure to high performance computing to students from institutions with limited access to HPC resources, especially women and other underrepresented groups, and will motivate students to pursue careers in computational fields.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.

密歇根州立大学的高级计算研究体验为来自不同背景的本科生提供了在计算和数据科学方面进行尖端研究的机会。除了研究，学生还参加各种技术培训活动。这些活动包括Python编程、数据分析和可视化、超级计算和科学软件开发。该计划还提供各种职业发展活动，目标是演讲技能、技术写作，以及与研究生和广泛的职业机会有关的讨论。这个为期十周的暑期项目培训学生计算和数据科学，让他们自由探索一系列学科领域和职业道路，并为STEM中代表性不足的群体和非研究密集型学院和大学的学生提供研究机会。密歇根州立大学(MSU)为本科生提供的高级计算研究体验研究体验(Acres REU)为学生提供机会，在其学科公认的专家的指导下开展计算和数据科学的尖端研究。这个为期10周的夏季住宿项目包括来自各种STEM领域的MSU教师，他们的研究重点是与计算建模和数据科学相关的算法及其应用。此外，同行和近同行指导、专业发展和技术培训是该计划的关键组成部分。该REU网站的优势之一在于，由两名REU学生组成的学生团队、他们在进行计算科学、数据科学和高性能计算研究方面的专业知识的导师和技术培训人员组成的学生团队之间建立了丰富的跨学科协作研究环境。这些因素结合在一起，使本科生能够进行有意义的原创性研究，重点是开发和增强计算建模和数据科学的算法，以及将这些算法应用于广泛的STEM领域的前沿应用。此外，该项目将扩大代表不足的人群对STEM研究的参与。此外，它将为来自HPC资源有限的机构的学生，特别是女性和其他代表性不足的群体，提供早期接触高性能计算的机会，并将激励学生在计算领域追求职业生涯。该奖项反映了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。