HDR DSC: Collaborative Research: Connecting the Dots

对精通数据科学和分析的劳动力的需求很大。雇主寻找具备以下能力的毕业生：(1)理解、解释和分析数据，(2)有效地沟通数据分析的结果，(3)实践数据的道德使用，(4)应用数据科学概念来解决与现实世界相关的实际问题。求职网站的数据显示，纽约州的需求尤为旺盛。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数据敏锐度。虽然在一些学科(例如计算机科学)中强调了数据科学能力的传播，但向大学毕业生广泛传授这些技能的进展缓慢。该项目的目标是开发和实施一个可扩展的创新项目，名为“连接点”，用于向攻读工程本科学位的学生传授数据科学能力。连接点(CTD)是美国最大的高等教育系统纽约州立大学(SUNY)系统中的旗舰学校与纽约城市大学(CUNY)系统中的旗舰学校高度合作的项目。CTD与布法罗大学(UB)和纽约城市学院(CCNY)合作，目标是(A)加强理解和有效使用数据的能力，为不同工程学科的本科生的决策提供信息，同时(B)提高地区社区合作伙伴的能力，将数据分析方法纳入其业务或战略规划目标。CTD项目团队将创建的标志性学术数据科学轨道是一个本科生证书计划，即纽约数据科学学者计划，它可以很容易地与任何工程专业整合，并补充现有的本科生和研究生水平的计算机科学专业。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，这些实验室在亚利桑那州立大学和纽约州立大学校园内充当“弹出式”暑期设施，学生在这里为社区合作伙伴执行实习项目，这些社区合作伙伴面临着学生需要解决的具有挑战性的数据科学问题，但又不适合接待传统实习生。该团队的最终扩展目标是开发一个易于被其他举办四年制工程课程的纽约州立大学和CCNY校区以及纽约州以外具有类似学位课程结构的校区采用的课程。NSF的利用数据革命数据科学兵团计划专注于建设在地方、州、国家和国际层面利用数据革命的能力，以帮助释放数据服务于科学和社会的力量。该计划中的项目由美国国家科学基金会利用数据革命大创意、信息和智能系统部门的计算机和信息科学与工程委员会、本科教育部门的教育和人力资源委员会、数学科学部门的数学和物理科学委员会以及社会、行为和经济科学委员会、多学科活动办公室和行为和认知科学部门共同资助。该奖项反映了国家科学基金会的法定使命，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。

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.