REU Site: Interdisciplinary Research Experience in Computational Sciences

计算模拟正迅速成为与实验和理论同等重要的研究分支。同时，自动化仪器存储大量测量数据。然而，只有在本科和研究生教育的进步伴随着硬件的进步的情况下，计算科学才能充分发挥其潜力。参加本科生研究体验（REU）计划的30名本科生参与真实的计算科学项目，学习如何使用最先进的网络基础设施工具，管理大量数据，体验表征研究职业的活动，并在跨学科研究团队中工作。 路易斯安那州立大学的计算技术中心（CCT）为REU学生熟悉跨学科研究提供了理想的环境。在夏季的十周里，学生们与导师合作开展各种各样的计算科学项目。随着研究小组探索引力波，材料科学或计算音乐和艺术中的复杂新兴现象，参与者致力于计算科学的前沿研究。 通过培养下一代计算科学学生，该项目符合国家利益，正如NSF的使命所述：促进科学进步;促进国家健康，繁荣和福利;或确保国防。显然需要对劳动力进行计算和计算科学方面的培训。然而，大多数学生在课堂上几乎没有学到计算科学（CSCI），也没有为CSCI研究或数据科学研究做好准备。该项目提供了一个基于证据的方法来解决这些问题，并准备下一代的学生。CSCI教育目前的障碍之一是，虽然CSCI本质上是多学科的，但传统的学术部门在学科之间设置了严格的界限。由于LSU计算技术中心不是一个学术单位，它为REU学生提供了一个理想的环境，通过参与多学科研究团队来熟悉跨学科研究。在为期十周的会议期间，参与者参加了具有研究职业特征的活动，例如在学术论坛上展示他们的研究，并致力于跨学科研究所需的软技能和硬技能。教师导师与学生在个人和小组会议，并提供活动，帮助学生欣赏多学科研究的性质和作为一个团队工作的价值。在REU结束时，鼓励学生继续他们的CSCI研究，并在他们的家乡机构介绍他们的工作，告知他人有关计算科学。该奖项反映了NSF的法定使命，并已被认为是值得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的支持。

Computational simulations are rapidly emerging as a co-equal branch of inquiry with experiment and theory. In parallel, automated instruments store massive amounts of measurement data. However, computational science will only fulfill its full potential if advances in undergraduate and graduate education accompany advances in hardware. The 30 undergraduate students participating in this Research Experience for Undergraduates (REU) program are engaged with authentic computational science projects, learn how to use state-of-the-art cyberinfrastructure tools, manage large amounts of data, experience activities that characterize research careers, and work in interdisciplinary research teams. The Center for Computation & Technology (CCT) at Louisiana State University provides an ideal setting for the REU student to become familiar with interdisciplinary research. For ten weeks in the summer, the students work collaboratively with mentors on a wide variety of computational science projects. With research groups exploring gravitational waves, complex emergent phenomena in material science, or computational music and arts, the participants work on cutting edge research in computational sciences. By preparing the next generation of students in the computational sciences, this project serves the national interest, as stated by NSF's mission: to promote the progress of science; to advance the national health, prosperity and welfare; or to secure the national defense. There is a clear need for training the workforce on computing and computational science. However, the majority of students learn little, if any, Computational Science (CSci) in the classroom and are not prepared for CSci research or data science research. This project provides an evidence-based approach to address these issues and prepare the next generation of students. One of the current barriers in CSci education is that while CSci is intrinsically multidisciplinary, traditional academic departments set rigid boundaries between disciplines. Because the LSU Center for Computation & Technology is not an academic unit, it provides an ideal setting for REU students to become familiar with interdisciplinary research by participating in multidisciplinary research teams. During the ten week session, participants participate in activities that characterize research careers, such as presenting their research in scholarly forums and working on the soft- and hard-skills needed in interdisciplinary research. Faculty mentors work with the students in individual and group meetings, and provide activities that help students appreciate the nature of multidisciplinary research and the value of working as a team. At the conclusion of the REU, the students are encouraged to continue their CSci research and present their work at their home institution, informing others about computational science.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.