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

数据科学正在对社会和经济产生巨大影响。随着数据科学领域的发展，越来越需要具备数据科学技能的合格且多样化的专业人员。特拉华州和中大西洋数据科学军团网络将汇集来自特拉华州山谷的三个合作伙伴机构，特拉华州大学（UD），特拉华州州立大学（DSU）和林肯大学（LU）。由此产生的网络将加强和促进基础和应用数据科学的跨学科培训，无论是在课堂上还是在与内部研究人员和外部合作的项目中。该项目将在学生的背景，资源和生活经验中提供公平的数据科学教学机会，重点是纳入传统上在STEM中代表性不足的学生群体。该计划将提供传统的（基于课堂的）和积极的（参与式研讨会和研究经验）机会，为学生提供就业准备技能，包括数据科学，可视化和沟通以及协作技能的道德培训。 该计划的每一年都将专注于数据密集型教学法和研究的不同领域，选择与三个合作机构之一最大限度地相关，最大限度地提高学生参与度，并使每个机构能够贡献领域专业知识和数据，以支持课堂内外活动的实践研究机会。 DSU和LU是两所历史悠久的黑人学院和大学，对数据科学的兴趣日益浓厚，将利用UD在整个计划中建立的数据科学教学和研究计划组合来开发独立的数据科学计划。将使用模块化方法，使该计划能够满足学生在职业道路上任何时候的需求，无论以前是否接触过数据科学和STEM。编码和统计训练营将提供给新手。数据科学基础课程将提供公平的竞争环境，并为所有学生提供基本技能。大师班将使参与式讨论和实践培训的道德，协作技能和科学交流，并促进与外部合作伙伴的参与。该奖项反映了NSF的法定使命，并被认为是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的支持。

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.