REU Site: ACRES: Advanced Computational Research Experience for Students

大规模计算能力的应用在科学和工业中越来越普遍。因此，使下一代具备满足这一需求所需的技能至关重要。该奖项将资助密歇根州立大学（MSU）一个名为“学生高级计算研究经验”或“ACRES”的本科生暑期研究经验项目，该项目将为学生提供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。在10周的时间里，学生们将接受深入的培训、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。他们将在发展自己的计算研究项目中获得宝贵的经验，并接触到来自不同专业领域的各种研究问题。该项目还旨在通过鼓励未被充分代表的人群参与STEM研究来扩大计算研究人员的渠道，并为那些无法获得高性能计算资源的机构的学生提供早期接触高性能计算的机会。该奖项为密歇根州立大学（MSU）的“学生高级计算研究经验”REU项目提供资金，该项目为本科生提供独特的培训环境。该计划由密歇根州立大学的两个组织联合总部。第一个是网络支持研究所（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，以及可以在不同环境中应用这些算法的具有计算意识的工程师和科学家。这种类型的环境打破了竖井，促进了学科之间思想的传播。跨学科环境下的训练对本科生研究人员尤其有益。它可以让学生在早期的研究概念之间找到相似之处，比如行星围绕恒星运动的建模和等离子体中原子的模拟。它还为学生提供了接触广泛的计算科学研究领域的机会，这可以提高学生对科学的热情，并使学生留在科学管道中。在这种环境下，学生将对研究计算有广泛的了解，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女性和来自代表性不足群体的学生来扩大对计算科学的参与，并旨在通过营造包容的环境来激励学生在计算领域从事职业。此外，通过学生的研究获得的知识的传播将有助于推进STEM各自的科学领域。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 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.