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经验为来自不同背景的本科生提供了在计算和数据科学领域进行前沿研究的机会。 除了研究之外，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。该计划还提供各种专业发展活动，针对演讲技巧、技术写作以及与研究生院和广泛的职业机会相关的讨论。 这个为期十周的暑期项目对学生进行计算和数据科学方面的培训，让他们可以自由地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大学的学生提供研究机会密歇根州立大学 (MSU) 的本科生高级计算研究体验研究体验 (ACRES REU) 为学生提供了在各自领域公认专家的教师指导下进行计算和数据科学前沿研究的机会。学科。 这个为期 10 周的暑期住宿项目包括来自各个 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和应用。 此外，同行和近同行指导、专业发展和技术培训也是该计划的关键组成部分。 该 REU 网站的优势之一在于，学生团队之间形成了丰富的跨学科协作研究环境，该团队由成对的 REU 学生及其导师组成，他们在计算科学、数据科学和高性能计算以及技术方面具有专业知识。培训师。 这些要素相结合，使本科生能够开展有意义的原创研究，重点关注计算建模和数据科学算法的开发和增强，以及将这些算法应用于广泛的 STEM 领域的前沿应用。 此外，该项目还将扩大代表性不足的人群对 STEM 研究的参与。 此外，它将为来自 HPC 资源有限的院校的学生（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，并被视为值得通过使用基金会的智力优点和更广泛的影响审查标准进行评估来支持。