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

密歇根州立大学的高级计算研究经验为来自各种背景的本科生提供了在计算和数据科学方面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有关的讨论。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）的本科生高级计算研究体验（ACRES REU）为学生提供了在各自学科公认专家的教师监督下进行计算和数据科学前沿研究的机会。这个为期10周的暑期住宿项目包括来自各种STEM领域的密歇根州立大学教师，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。这个REU网站的优势之一在于丰富的跨学科合作研究环境，培养了由REU学生组成的学生团队，他们的导师在计算科学、数据科学和高性能计算方面具有专业知识，以及技术培训师。这些元素结合在一起，使本科生能够进行有意义的原创研究，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，该项目将扩大未被充分代表的人群对STEM研究的参与。此外，它将为那些无法获得高性能计算资源的机构的学生，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从事职业。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。

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.