REU Site: ACRES: Advanced Computational Research Experience for Students

REU 网站：ACRES：学生的高级计算研究体验

• 批准号: 2349002
• 负责人: Alex Dickson
• 金额: $ 45.49万
• 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: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2027-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349002&HistoricalAwards=false
• 关键词: REU; Site; ACRES; Advanced; Computational

The application of large-scale computing power to solve problems is becoming more and more common in science and industry. It is thus vital to equip the next generation with the skills necessary to meet this need. This award will fund a summer Research Experience for Undergraduates program called “Advanced Computational Research Experiences for Students” or “ACRES” at Michigan State University (MSU) that will offer 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. Over 10-weeks, students will receive in-depth training, mentoring and professional development, while being immersed in an active research environment at MSU. They will gain valuable experience in developing their own computationally-focused research project and gain exposure to a wide variety of research problems from different areas of specialty. This project also aims to broaden the pipeline of computational researchers by encouraging participation of underrepresented populations in STEM research, as well as providing early exposure to high performance computing to students from institutions with limited access to HPC resources.This award provides funding for the ACRES (“Advanced Computational Research Experiences for Students”) REU program at Michigan State University (MSU), which provides a unique training environment for undergraduate students. This program is jointly headquartered by two organizations in MSU. The first is the Institute for Cyber-Enabled Research (ICER), who administer MSU’s high performance computing cluster and regularly provide computational training and workshops for MSU students and faculty. The second is the Department of Computational Mathematics, Science, and Engineering (CMSE), founded in 2015, which brings together applied mathematicians and statisticians who create algorithms, with computationally-minded engineers and scientists who can apply these algorithms in diverse contexts. This type of environment breaks down silos and facilitates the spread of ideas between disciplines. Training in interdisciplinary environments is particularly beneficial to undergraduate researchers. It allows students to draw parallels between research concepts early on, such as the modeling of planetary motion around a star and the simulation of atoms in a plasma. It also provides students with exposure to a wide range of research domains in computational science, which could improve students’ enthusiasm for science and students’ retention in the scientific pipeline. In this environment, students will develop a broad understanding of research computing and gain experience in applying domain-specific knowledge to computational modeling problems. This project will also broaden participation in computational science by emphasizing the recruitment of women and students from underrepresented groups, and aim to motivate students to pursue careers in computational fields by fostering an inclusive environment. In addition, the dissemination of the knowledge gained as a result of the students’ research will contribute to advancing the respective scientific fields throughout STEM.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.

应用大规模计算能力来解决问题在科学和工业中变得越来越普遍，因此为下一代提供满足这一需求所需的技能至关重要。密歇根州立大学 (MSU) 的“学生高级计算研究体验”或“ACRES”计划将为学生提供在各自学科公认专家教师的监督下进行计算和数据科学前沿研究的机会。超过在为期 10 周的时间里，学生将接受深入的培训、指导和专业发展，同时沉浸在密歇根州立大学活跃的研究环境中，他们将获得开发自己的以计算为重点的研究项目的宝贵经验，并接触各种知识。该项目还旨在通过鼓励代表性不足的人群参与 STEM 研究，以及为来自 HPC 资源有限的机构的学生提供早期接触高性能计算的机会，来拓宽计算研究人员的渠道。该奖项提供资金密歇根州立大学 (MSU) 的 ACRES（“学生高级计算研究体验”）REU 项目，为本科生提供了独特的培训环境。该项目由密歇根州立大学的两个组织联合设立。网络支持研究 (ICER)，负责管理密歇根州立大学的高性能计算集群，并定期为密歇根州立大学的学生和教师提供计算培训和研讨会。第二个部门是计算数学、科学和工程系 (CMSE)，成立于 2015 年，汇集了创建算法的应用数学家和统计学家，以及具有计算思维的工程师和科学家，他们可以在不同的环境中应用这些算法。这种环境打破了孤岛，促进了跨学科培训的思想传播。它使学生​​能够尽早了解研究概念的相似之处，例如围绕恒星的行星运动的建模和等离子体中原子的模拟。它还为学生提供了广泛的接触机会。计算科学的研究领域，这可以提高学生对科学的热情和学生在科学管道中的保留在这种环境中，学生将对研究计算有广泛的理解，并获得将特定领域的知识应用于计算建模问题的经验。该项目还将通过强调招募来自代表性不足群体的女性和学生来扩大对计算科学的参与，并旨在通过营造一个包容性的环境来激励学生在计算领域从事职业，此外，还传播由此获得的知识。学生的研究将有助于推进该奖项反映了 NSF 的法定使命，并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，被认为值得支持。