Targeted Infusion Project: Implementation of Data Science Courses, Modules, and Capstone Experiences to Enhance Career and Graduate School Readiness

历史上的黑人学院和大学本科生计划（HBCU-UP）通过有针对性的输液项目支持开发，实施和研究以证据为基础的创新模式和方法，以提高HBCU本科生的准备和成功，使他们可以追求科学，技术，工程或数学（STEM）研究生课程和/或职业。该项目旨在通过将数据科学教育和研究融入大学STEM课程，为克拉克亚特兰大大学的STEM学生提供数据驱动发现的现代原理和技术的教育和培训。该项目的目标是：（1）开发和实施三个新的本科数据科学课程，每年至少教育60名学生跨学科的数据科学技能;（2）在现有的STEM课程中开发和实施10个数据科学模块，在学科背景下向学生介绍数据科学;（3）增加数据科学机构基础设施，包括实施数据科学实验室，以支持数据科学课程和模块，并每年举办两次教师发展研讨会。这一奋进将利用亚特兰大大学中心数据科学计划的努力，建立可持续的机构能力，并将数据科学融入课堂和研究计划。将数据科学注入本科STEM课程将更好地为本科生（主要是非洲裔美国学生）的研究生学习和STEM劳动力做好准备。该项目的研究结果将作为其他历史黑人学院和大学以及寻求教育和维持多元化数据驱动的STEM劳动力的四年制机构的典范。该奖项反映了NSF的法定使命，并被认为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来支持。

The Historically Black Colleges and Universities Undergraduate Program (HBCU-UP) through Targeted Infusion Projects supports the development, implementation, and study of evidence-based, innovative models and approaches for improving the preparation and success of HBCU undergraduate students so that they may pursue science, technology, engineering, or mathematics (STEM) graduate programs and/or careers. This project seeks to provide STEM students at Clark Atlanta University with education and training in modern principles and techniques of data-driven discovery by infusing data science education and research into the university STEM curriculum.The goals of this project are to (1) develop and implement three new undergraduate data science courses to educate at least 60 students per year with interdisciplinary data science skills; (2) develop and implement 10 data science modules in current STEM courses to introduce students to data science in the context of their discipline; and (3) increase data science institutional infrastructure, including implementation of a data science laboratory to support data science courses and modules, and host two faculty development workshops per year. This endeavor will leverage the efforts of the Atlanta University Center Data Science Initiative to build sustainable institutional capacity and infuse data science into classrooms and research programs. The infusion of data science into the undergraduate STEM curriculum will better prepare undergraduates, primarily African American students, for graduate study and the STEM workforce. The findings from this project will serve as a model for other Historically Black Colleges and Universities and 4-year institutions that seek to educate and maintain a diverse data-driven STEM workforce.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.