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.

在科学和工业中，大规模计算能力在解决问题上的应用变得越来越普遍。因此，为下一代配备满足这一需求所需的技能至关重要。该奖项将为密歇根州立大学（MSU）的本科生课程提供夏季研究经验，称为“高级计算研究经验”或“英亩”，该计划将为学生提供在学科中被公认专家的教师的监督下进行计算和数据科学的尖端研究。超过10周的学生将接受深入的培训，心理和专业发展，同时沉浸在MSU的活跃研究环境中。他们将在开发自己以计算为重点的研究项目中获得价值经验，并从不同专业领域的各种研究问题中获得接触。该项目还旨在通过鼓励代表性不足的人群参与STEM研究，并为来自HPC资源访问有限的机构的学生提供早期接触高性能计算的范围来扩大计算研究人员的管道。该奖项提供了对Michigan State Arockuts（MIDIGAN State Envorliant of Michigan State Envorliant of Sutornation Arivenation to norkeral of Michigan State Ariventry（Missu）的资金，该奖项提供了资金（为学生提供了高级计算研究经验）。该计划由密西根州立大学的两个组织共同总部。第一个是支持网络研究所（ICER），他管理MSU的高性能计算集群，并定期为MSU学生和教职员工提供计算培训和讲习班。第二个是成立于2015年的计算数学，科学和工程（CMSE）（CMSE），该系将创建算法的应用数学家和统计学家与计算有意识的工程师和科学家一起，可以将这些算法应用于潜水员的情况。这种类型的环境会破坏孤岛，并促进学科之间思想的传播。跨学科环境中的培训对本科研究人员特别有益。它允许学生尽早在研究概念之间划清相似之处，例如围绕恒星的行星运动建模和等离子体中原子的模拟。它还为学生提供了计算科学中广泛的研究领域的接触，这可以提高学生对科学和学生在科学管道中的保留的热情。在这种环境下，学生将对研究计算有广泛的了解，并在将特定领域的知识应用于计算建模问题中获得经验。该项目还将通过强调来自代表性不足的群体的妇女和学生的招募，并旨在通过培养包容性环境来激励学生从事计算领域的职业。此外，由于学生的研究而获得的知识的传播将有助于促进整个STEM的相关科学领域。该奖项反映了NSF的法定任务，并通过评估基金会的知识分子和更广泛的影响来审查标准，被认为是通过评估来获得的支持。