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

这个REU程序将数据支持的科学与数学建模结合起来。目标是吸引和留住STEM领域的学生，并将他们介绍给这个新颖而令人兴奋的数学研究领域。该计划的目标是：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级问题，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，这个REU网站不仅将使学生接触到即将到来的数据密集型科学，而且还将促进创造、开发和应用新工具，这些工具对于解决这一新兴领域的挑战至关重要。该REU项目将在团队环境中为本科生提供严谨而有意义的建模和数据科学研究经验，提高未来数学研究人员的沟通技巧，并招募数据科学领域的潜在研究人员。这个REU项目将在每年夏天为八名本科生提供九周的支持，帮助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STEM领域的职业生涯做准备。在第一周，学生们将参加一个计算“训练营”，旨在培养基本的计算技能，为他们在暑期课程的剩余时间里做研究做准备。在剩下的八周时间里，学生们将以四人一组的形式，在一名教师指导下，进行具有强大计算和建模组件的项目。学生将积极参加每周的研讨会和演讲，以练习和提高他们的沟通技巧。他们还将制作一份技术报告和海报，并在项目结束时的公共研究研讨会上发表演讲。招聘工作将针对在STEM领域代表性不足的群体，包括女性、非洲裔美国人、西班牙裔美国人、美国印第安人、阿拉斯加原住民、太平洋岛民和残疾人。

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.