HDR: DSC: Interdisciplinary Traineeship for Socially Responsible and Engaged Data Scientists

HDR：DSC：具有社会责任感和参与度的数据科学家的跨学科培训

• 批准号: 1924279
• 负责人: Nitesh Chawla
• 金额: $ 114.78万
• 依托单位: University of Notre Dame
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-10-01 至 2024-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1924279&HistoricalAwards=false
• 关键词: HDR; DSC; Interdisciplinary; Traineeship; Socially

This project aims to develop an interdisciplinary and experiential learning program for undergraduate students that enables them to think and work together with stakeholders on data-driven problems. The University of Notre Dame, as coordinating organization, and Saint Mary's College, a women's college as implementation organization, will collaborate to achieve this vision. Through capstone projects and internships, the project plans to foster data acumen, social responsibility and engagement, and acquisition of superskills that include teamwork, entrepreneurship, creativity, critical thinking, collaboration, and ethics. This approach combines explanation, prediction, and attention to cultural and social context. Structured activities held at Notre Dame are planned to expose scholars to innovation and entrepreneurship. The project will be founded on the principles of best practices and evidence-based programming, while ensuring sustainability and replicability. This project focuses on the nation's critical need to develop a workforce of trained human-centered data scientists. It also addresses national priority, strategic goals of the National Science Foundation, and recommendations of National Academy of Sciences for students to acquire data acumen. This project's objective is to nurture a T-shaped scholar and cohort exhibiting data acumen as well as professional development and superskills. Depth of knowledge will be gained through engagement with data science and the student's respective major/minor. Activities involving social engagement, social responsibility, and interdisciplinary and experiential learning will impart breadth. Design thinking and ethics will form the linchpin of this T-shape. They tie together training and experiential learning experiences to help students effectively engage with stakeholders and understand their needs. They will also help the scholars assess societal impact of their projects, and incorporate human context into their technical solutions. Through these activities, scholars have the opportunity to build capacity to harness the data revolution in the partnering organizations and enhance data literacy. If successful, the impact of this project will be evident in four ways: (1) the societal significance of its human-centered theme and the results of addressing a national strategic priority; (2) the educational impact of engagement with community partners and stakeholders; (3) recruitment and training of underrepresented groups informed through specific strategies; and (4) the assembling of a network of the next generation data-driven scholars that think about the future and cultivate capacity building and data literacy. This network has the potential to infuse academic, government, and business communities with the scholars' acquired skills and knowledge. 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.

该项目旨在为本科生开发一个跨学科和体验式学习计划，使他们能够与利益相关者一起思考和解决数据驱动的问题。作为协调组织的圣母大学和作为执行组织的女子学院圣玛丽学院将合作实现这一愿景。通过顶点项目和实习，该项目计划培养数据敏锐性，社会责任感和参与度，以及获得包括团队合作，创业精神，创造力，批判性思维，协作和道德在内的超级技能。这种方法结合了解释，预测和对文化和社会背景的关注。计划在圣母大学举办结构化活动，让学者接触创新和创业精神。该项目将以最佳做法和循证方案拟订原则为基础，同时确保可持续性和可复制性。该项目的重点是国家迫切需要培养一支训练有素的以人为本的数据科学家队伍。它还涉及国家优先事项，国家科学基金会的战略目标，以及国家科学院为学生获得数据敏锐度的建议。该项目的目标是培养一个T形学者和队列展示数据敏锐性以及专业发展和超级技能。知识的深度将通过与数据科学和学生各自的专业/未成年人的参与获得。涉及社会参与，社会责任，跨学科和体验式学习的活动将传授广度。设计思维和道德将构成这个T形的关键。他们将培训和体验式学习经验结合在一起，帮助学生有效地与利益相关者互动，了解他们的需求。他们还将帮助学者评估其项目的社会影响，并将人文背景纳入其技术解决方案。通过这些活动，学者们有机会建立能力，利用合作组织的数据革命，提高数据素养。如果成功，该项目的影响将在四个方面显现出来：（1）以人为本的主题的社会意义和解决国家战略优先事项的结果;（2）与社区合作伙伴和利益攸关方接触的教育影响;（3）通过具体战略招募和培训代表性不足的群体;（4）在教育方面，通过教育和培训，提高妇女地位。以及（4）组建下一代数据驱动学者网络，思考未来，培养能力建设和数据素养。这个网络有可能为学术界、政府和商业界注入学者们获得的技能和知识。NSF的利用数据革命数据科学团计划侧重于在地方，州，国家和国际层面建设利用数据革命的能力，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联合资助;信息和智能系统部计算机和信息科学与工程理事会;本科教育部教育和人力资源理事会;数学科学部数学和物理科学理事会;该奖项反映了NSF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。