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，对具有数据科学技能的合格和多样化的专业人员的需求越来越大。特拉华和中大西洋数据科学公司网络将汇集来自特拉华山谷的三个伙伴机构：特拉华大学(UD)、特拉华州立大学(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方面的跨学科培训，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、资源和生活经历方面提供平等的数据科学教学机会，重点是纳入传统上在STEM中代表性较低的学生群体。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，包括数据科学伦理、可视化和沟通以及协作技能方面的培训。该计划每年将专注于数据密集型教学和研究的不同领域，选择与三个合作机构中的一个最相关的领域，最大限度地提高学生的参与度，并授权每个机构提供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。密歇根州立大学和路易斯安那州立大学是两所历史悠久的黑人学院和大学，对数据科学的兴趣与日俱增，它们将在整个项目中利用UD在数据科学方面已建立的教学和研究举措组合，以开发独立的数据科学举措。将使用模块化方法，使该计划能够满足学生在其职业生涯的任何阶段的需求，而不考虑以前对数据科学和STEM的接触。编码和统计训练营将提供给初学者。数据科学基础课程将为学生创造公平的竞争环境，并为所有学生提供基本技能。大师班将促进参与性讨论和道德、协作技能和科学交流方面的实践培训，并促进与外部合作伙伴的参与。专题高级课程和研究机会将完成该计划。这一奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.