REU Site: Applied Research in Modeling and Data-Enabled Science (ARCHIMEDES) Program

REU 站点：建模和数据科学应用研究 (ARCHIMEDES) 计划

• 批准号: 1359484
• 负责人: Roummel Marcia
• 金额: $ 27.6万
• 依托单位: University of California - Merced
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1359484&HistoricalAwards=false
• 关键词: REU; Site; Applied; Research; Modeling

This REU program couples data-enabled science with mathematical modeling. The goal is to attract and retain students in STEM fields and to introduce them to this novel and exciting area of mathematical research. The objectives of the program are: to introduce students to scientific computing to strengthen programming skills, to use mathematical models to solve real-world problems, to apply computational tools to research-level problems, and to analyze results using data and translate into a scientific context. In this way, this REU site will not only expose students to an upcoming, data-intensive science, but will also promote creation, development, and application of novel tools essential for addressing the challenges of this emerging field. This REU program will provide a rigorous and meaningful research experience in modeling and data-enabled sciences for undergraduate students in a team environment, improve the communication skills of future mathematical researchers, and recruit potential researchers in data-enabled sciences. This REU project will support eight undergraduate students for nine weeks each summer as they learn and develop the mathematical and computational tools necessary for data-driven applications, and as they gain professional-level research experiences in preparation for careers in STEM fields. In the first week, students will participate in a computational "bootcamp" designed to develop fundamental computational skills, preparatory to doing research during the rest of their summer program. The students will then work intensely for the remaining eight weeks, in teams of four and with a faculty mentor, on projects with strong computational and modeling components. Students will actively participate in weekly workshops and presentations to practice and improve their communication skills. They will also produce a technical report and a poster, and present at a public research symposium at the end of the program. Recruitment efforts will target groups that have been underrepresented in the STEM fields, including women, African Americans, Hispanics, American Indians, Alaskan Natives, Pacific Islanders and persons with disabilities.

这个REU计划将数据启用的科学与数学建模结合在一起。其目标是吸引和留住STEM领域的学生，并向他们介绍这一新颖而令人兴奋的数学研究领域。该项目的目标是：向学生介绍科学计算以加强编程技能，使用数学模型解决现实世界的问题，将计算工具应用于研究水平的问题，并使用数据分析结果并将其转化为科学背景。通过这种方式，REU网站不仅将使学生接触到即将到来的数据密集型科学，而且还将促进新工具的创建、开发和应用，这些工具对于应对这一新兴领域的挑战至关重要。该REU项目将为团队环境中的本科生提供严谨而有意义的建模和数据使能科学方面的研究经验，提高未来数学研究人员的沟通技能，并招募数据使能科学领域的潜在研究人员。这个REU项目将在每年夏天为8名本科生提供为期9周的支持，让他们学习和开发数据驱动应用程序所需的数学和计算工具，并获得专业水平的研究经验，为在STEM领域的职业生涯做准备。在第一周，学生们将参加一个旨在发展基本计算技能的计算“训练营”，为暑期计划的其余部分做研究做准备。然后，学生们将在剩下的八周里，以四人一组的形式，在一名教师导师的指导下，在具有强大计算和建模组件的项目上进行紧张的工作。学生将积极参加每周的工作坊和演讲，以练习和提高他们的沟通技能。他们还将制作一份技术报告和一张海报，并在项目结束时的公共研究研讨会上发表讲话。招聘工作将针对在STEM领域任职人数不足的群体，包括妇女、非裔美国人、西班牙裔、美洲印第安人、阿拉斯加原住民、太平洋岛民和残疾人。