HDR DSC: Collaborative Research: Connecting the Dots

对精通数据科学和分析的员工有很大的需求。雇主希望毕业生具备以下能力：(1)理解、解释和分析数据；(2)有效沟通源自数据分析的结果；(3)实践数据的道德使用；(4)应用数据科学概念解决与现实世界相关的实际问题。来自求职网站的数据显示，纽约州对这一职位的需求尤为迫切。2018年，美国国家科学院、工程院和医学院发布了一份题为《本科生的数据科学：机会和选择》的报告，呼吁各机构提高毕业生的所谓“数据敏锐度”。虽然数据科学能力的传播在某些学科（如计算机科学）中得到了强调，但这些技能在大学毕业生中的广泛传播却进展缓慢。该项目的目的是开发和实施一个可扩展的创新项目，称为“连接点”，为攻读本科工程学位的学生提供数据科学能力。连接点（CTD）是美国最大的高等教育系统纽约州立大学（SUNY）系统的旗舰学校和纽约市立大学（CUNY）系统之间的高度合作项目。CTD团队布法罗大学（UB）和纽约城市学院（CCNY）的目标是(a)加强理解和有效使用数据的能力，为来自不同工程学科的本科生提供决策信息，同时(b)同时提高区域社区合作伙伴将数据分析方法纳入其业务或战略规划目标的能力。CTD项目团队创建的标志性学术数据科学课程是一个本科证书课程，即纽约数据科学学者课程，它很容易与任何工程专业相结合，并补充了本科和研究生水平的现有计算机科学专业。通过新颖的数据科学社区实验室为广泛的社区合作伙伴提供服务，该实验室在UB和CCNY校园中充当“弹出式”暑期设施，学生为社区合作伙伴执行实习项目，这些社区合作伙伴有挑战性的数据科学问题需要学生解决，但不适合接待传统的实习生。该团队的最终目标是开发一个易于被其他拥有4年制工程课程的SUNY和CCNY校园以及纽约州以外拥有类似学位课程结构的校园采用的项目。美国国家科学基金会的“驾驭数据革命”数据科学队项目侧重于在地方、州、国家和国际层面建立驾驭数据革命的能力，以帮助释放数据的力量，为科学和社会服务。该项目由美国国家科学基金会“利用数据革命大创意”项目联合资助；计算机和信息科学与工程理事会，信息和智能系统司；教育和人力资源司本科教育司；数学科学司数学和物理科学理事会；社会、行为和经济科学司、多学科活动办公室和行为和认知科学司。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

There is significant demand for a workforce that is proficient in data science and analytics. Employers seek graduates with an ability to (1) understand, interpret, and analyze data, (2) effectively communicate results that stem from the analysis of data, (3) practice the ethical use of data, and (4) apply data science concepts to solve practical problems with real-world relevance. Data from job search sites indicate that the demand in New York State is particularly acute. A 2018 report from the National Academies of Sciences, Engineering, and Medicine entitled "Data Science for Undergraduates: Opportunities and Options" calls for institutions to advance the so-called "data acumen" of graduates. While the dissemination of data science competencies has been emphasized in some disciplines (e.g., computer science), the broad delivery of these skills to college graduates has been slow to evolve. The aim of this project is to develop and implement a scalable, innovative program, termed "Connecting the Dots", for delivery of data science competencies to students pursuing an undergraduate engineering degree.Connecting the Dots (CTD) is a highly collaborative project between the flagships schools in the State University of New York (SUNY) system, the largest higher education system in the nation, and the City University of New York (CUNY) system. CTD teams the University at Buffalo (UB) with the City College of New York (CCNY) with the goals to (a) strengthen the ability to understand and use data effectively to inform decisions among diverse undergraduate students from across the engineering disciplines, while (b) simultaneously increasing the capacity of regional community partners to incorporate data analytical methods into their business or strategic planning objectives. The signature academic data science track to be created by the CTD project team is an undergraduate certificate program, the New York Data Science Scholars program, that is readily integrated with any engineering major and that complements existing computer science majors at both the undergraduate and graduate level. A broad range of community partners are served via novel Data Science Community Labs, which act as "pop-up" summer facilities on the UB and CCNY campuses wherein students perform internship projects for community partners who have challenging data science problems for students to work on, but are not well-positioned to host a conventional intern. The team's ultimate scaling objective is to develop a program that is easily adopted by other SUNY and CCNY campuses that host 4-year engineering programs and by campuses outside of New York State with similar degree program structures. NSF's Harnessing the Data Revolution Data Science Corps program focuses on building capacity for harnessing the data revolution at the local, state, national, and international levels to help unleash the power of data in the service of science and society. Projects in this program are being jointly funded by the NSF's Harnessing the Data Revolution Big Idea; the Directorate for Computer and Information Science and Engineering, Division of Information and Intelligent Systems; the Directorate for Education and Human Resources, Division of Undergraduate Education; the Directorate for Mathematical and Physical Sciences, Division of Mathematical Sciences; and the Directorate for Social, Behavioral and Economic Sciences, Office of Multidisciplinary Activities and Division of Behavioral and Cognitive Sciences.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.