REU Site: Interdisciplinary Research Experience in Computational Sciences

标题：REU网站：计算科学的跨学科研究经验首席研究员：J。莫雷诺共同首席研究员：G。艾伦提交组织：计算技术中心位置：路易斯安那州州立大学，巴吞鲁日，洛杉矶有一个国家需要吸引更多的学生在STEM学科的职业生涯。特别是，计算科学是一种交叉能力，结合实验和理论，产生科学和工程学科的最高水平的研究。只有在跨学科教育和劳动力培训取得进展的情况下，计算科学才能发挥其潜力。这个新成立的研究经验本科（REU）在路易斯安那州州立大学（LSU）网站将结合联合收割机个人培训与学生沉浸在一个多学科的研究小组，提供了丰富的研究经验，在计算科学项目。 在为期九周的夏季期间，每年将有八名本科生分别与代表计算科学不同方面以及广泛的科学学科的多元化投资组合中的一个项目相匹配。除了独特的和非常有价值的接触到多学科的研究方法，在使用先进的计算工具和经验，在使用多媒体协作工具的国家/国际团队合作的培训，将更好地为这些学生的未来做好准备。 学生的参与既发生在个别通过辅导和小组设置。 正式和非正式方法都包括在项目开发和沟通中。 项目选择，后续指导和计划反馈旨在扩大学生的吸引力，改善计划，并支持学生对研究生涯的持续兴趣。REU的努力的更广泛的影响是三方面的。这些项目对广泛的本科生的吸引力已经通过计算科学的令人兴奋的方面，国际风味和许多科学学科的纳入精心构建到该计划中。 这种吸引力，以广泛的学生进一步加强了该计划的重点努力，从代表性不足的人口，努力建立在以前的机构的成功。 最后，该程序经过精心制作，可以很容易地在其他设置中复制。

Title: REU Site: Interdisciplinary Research Experience in Computational SciencesPrincipal investigator: J. MorenoCo-Principal investigator: G. AllenSubmitting Organization: Center for Computation & TechnologyLocation: Louisiana State University, Baton Rouge, LAThere is a national need to attract more students to careers in STEMdisciplines. In particular, computational science is a crosscutting capability which, combined with experiment and theory, produces the highest caliber research in science and engineering disciplines. Computational science will only fulfill its potential if advances in interdisciplinary education and training of the workforce occurs. This newly established Research Experience for Undergraduate (REU) site at Louisiana State University (LSU) will combine individual training with student immersion in a multidisciplinary research group to provide a rich research experience in a computational science project. Occurring over a nine week summer period, eight undergraduate students each year will be individually matched to a project among a diverse portfolio representing different aspects of computational science as well as a wide array of scientific disciplines. In addition to the unique and highly valuable exposure to multidisciplinary research methods, training in the use of advanced computational tools and experience in the use of multimedia collaborative tools for national/international teamwork, will better prepare these students for the future. Engagement of students occurs both individually via mentoring and in group settings. Both formal and informal approaches are included in project development and communication. Project selection, followup mentoring and program feedback are designed to broaden the student appeal, improve the program and to support sustained student interest in a research career.The broader impacts of this REU effort are threefold. The appeal of the projects to a wide array of undergraduate students has been carefully built into the program via exciting aspects of computational science, an international flavor and the inclusion of many scientific disciplines. This appeal to a wide array of students is further enhanced by the program's focused effort to draw from underrepresented populations, an effort which builds on previous institutional successes. Finally, the program has been crafted so that it can be readily replicated in other settings.