Collaborative Research: HDR DSC: Delaware and Mid-Atlantic Data Science Corps

合作研究：HDR DSC：特拉华州和中大西洋数据科学队

• 批准号: 2123264
• 负责人: Federica Bianco
• 金额: $ 150万
• 依托单位: University of Delaware
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-09-15 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2123264&HistoricalAwards=false
• 关键词: Collaborative; Research; HDR; DSC; Delaware

Data science is having an enormous impact on society and the economy. As the field of data science evolves, there is an increasing need for a qualified and diverse set of professionals with skills in data science. The Delaware and Mid-Atlantic Data Science Corps network will bring together three partner institutions from the Delaware Valley, the University of Delaware (UD), Delaware State University (DSU), and Lincoln University (LU). The resulting network will strengthen and promote interdisciplinary training in foundational and applied data science, both in the classroom and in projects with internal researchers and external collaborations. This project will provide equitable pedagogical opportunities in data science across students’ backgrounds, resources, and lived experiences, focusing on inclusion of student populations traditionally underrepresented in STEM. The program will offer traditional (classroom-based) and active (participatory workshops and research experiences) opportunities providing job-ready skills to students, including training in the ethics of data science, visualization and communication, and collaborative skills. Each year of the program will focus on a different area of data-intensive pedagogy and research selected to be maximally relevant to one of the three partnering institutes, maximizing student engagement and empowering each institute to contribute domain expertise and data to support hands-on research opportunities for in-classroom and out-of-classroom activities. DSU and LU, two Historically Black Colleges and Universities with growing interests in data science, will leverage UD’s established portfolio of pedagogical and research initiatives in data science throughout the program to develop independent data science initiatives. A modular approach will be used that will allow the program to meet the needs of students at any point of their career path, regardless of previous exposure to data science and STEM. Coding and Stats Bootcamps will be offered to the uninitiated. Data science foundational classes will level the playing field and offer all students basic skills. Master Classes will enable participatory discussion and hands-on training in ethics, collaboration skills, and scientific communication, and facilitate engagement with external partners. Topical advanced classes and research opportunities will complete the program.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.

数据科学对社会和经济有很大的影响。 ）和林肯大学（LU）（LU）。经验丰富的经验，专注于传统的学生。可视化和沟通和协作技巧。课堂上的活动。向所有学生提供基本技能。智力优点和更广泛的影响审查标准。