Preparation of Data Driven Mathematical Scientists for the Workforce

东田纳西州立大学（ETSU）的这个项目为三组每组10名学生提供三年的支持。数学科学专业，主修计算/应用数学或统计学；或者辅修数学科学，重点是大数据，因为他们在八个STEM部门之一完成了他们的专业要求。学生以大二学生的身份进入该项目。该项目从为期两周的暑期课程开始，学生们将沉浸在计算科学的理论和应用中。在秋季和接下来的三年里，学生们每两周参加一次研讨会，其中包括小型研讨会、访问演讲者、职业规划、团队建设和各种其他活动。学生预计在三年的支持后毕业。该项目的技术优点在于它符合那些渴望在计算、高科技环境中工作的学生的兴趣。夏季课程提供了一个集中的数学建模和计算环境，为参与者未来三年的学习做好准备。因此，当参与者具有不同的教育背景时，它代表了一种久经考验的方法，可以启动长期的培训工作。这个为期三年的项目旨在将学生培养成能够解决复杂数据驱动问题的数学科学家。此外，该项目整合了该机构的其他项目——由美国国家科学基金会和其他组织支持，以增强这些特定奖学金计划的影响。其他合作项目包括NSF-REU、NSF-UBM、NSF-Noyce、tbr准入和多样性倡议以及ETSU州长学校。由于与东田纳西州立大学目前正在运营的其他STEM教育项目的合作和沟通，促进了女性和少数民族的招聘。该项目的活动，如研讨会、演讲、实习和课程，使学生能够长期沉浸在预测建模的文化中；分析大型和复杂的流体动力学数据集；以及科学计算，所有这些都有望提高学生毕业时的留校率。

This project at East Tennessee State University (ETSU) provides three years of support for three cohorts of ten students each. Students major in the Mathematical Sciences with a Concentration in Computational/Applied Mathematics, or Statistics; or receive a minor in the mathematical sciences, with a big data focus, as they complete their major requirements in one of eight STEM departments. Students enter the program as sophomores. The program starts with a two week summer session in which students are immersed in computational science, both theoretical and applied. In the Fall, and for the next three years, students attend a bi-weekly seminar that alternates between mini-workshops, visiting speakers, career planning, team building, and a variety of other activities. Students are expected to graduate after three years of support. The technical merit of the project lies in its alignment with the interests of students who aspire to work in a computational, high-technology environment. The summer program provides a concentrated Mathematical Modeling and Computational environment that prepares participants for the next three years of study. As such it represents a well-tested method of initiating a long-term training effort when participants enter with diverse educational backgrounds. The overall three-year effort intends to develop students into mathematical scientists who solve complex data-driven problems. Additionally, the project integrates with other programs at the institution - supported both by NSF and other organizations, to enhance the impact of these particular scholarship initiatives. Other collaborating programs include NSF-REU, NSF-UBM, NSF-Noyce, TBR-Access and Diversity Initiative, and the ETSU Governor's School. Recruitment of women and minorities is facilitated due to cooperation and communication with other STEM education programs currently in operation at East Tennessee State University. The project's activities, e.g. seminars, speakers, internships, and courses, enable students to benefit from long-term immersion in a culture of predictive modeling; analysis of large and complex or fluid dynamics data sets; and scientific computation, all of which hold promise to increase retention of students through graduation.