NRT-HDR: Graduate Traineeship in Data Science Technologies and Applications

NRT-HDR：数据科学技术和应用研究生实习

• 批准号: 2021585
• 负责人: Borko Furht
• 金额: $ 240万
• 依托单位: Florida Atlantic University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-09-01 至 2025-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2021585&HistoricalAwards=false
• 关键词: NRT; HDR; Graduate; Traineeship; Data

Data science and analytics is an emerging transdisciplinary area comprising computing, statistics, and various application domains including medicine, nursing, industry and business applications among others. A significant shortcoming of the current graduate curricula in the U.S. is that scientists and engineers are well trained in their own areas of specialty but lack the integrative knowledge needed for new scientific discoveries and industry applications made possible by data science and analytics. The National Science Foundation Research Traineeship award to Florida Atlantic University (FAU) will address these shortcomings by proposing a new model of convergent education through experiential learning. Transdisciplinary education brings integration of different disciplines in a harmonious manner to construct new knowledge and uplift the student to higher domains of cognitive abilities and sustained knowledge and skills. The traineeship anticipates providing a unique and comprehensive training opportunity for approximately one hundred sixty graduate students (160), including thirty five (35) funded trainees. Thirty faculty members from five colleges and ten departments will participate in the program. The program has the potential to have a significant impact on training practices for future data science professionals. Primary training elements of the curriculum will include the development of normalization courses, the creation of different testbeds for the various application domains, boot-camps, in-depth elective courses, and professional workshops. Normalization courses will be used to address various background of students entering the program. The convergent research themes will focus on three data science and analytics areas: (i) medical and healthcare applications, (ii) industry applications, and (iii) data science and AI technologies. To address these, the goal is to create a curriculum for graduate students in data science and analytics, where each course will be developed by at least two faculty members from two different disciplines. In order to integrate research and training, multiple testbeds for different application domains will be developed in a newly created Data Science and Artificial Intelligence Laboratory. Each testbed, which relates to a research project, will include a computer platform, software tools, and a set of learning modules. Research projects will be formulated jointly with industry partners who are members of the NSF Industry/University Cooperative Research CAKE (Center for Advanced Knowledge Enablement) at FAU. The program will produce graduates with technical depth and understanding of data science technologies and applications.The NSF Research Traineeship (NRT) Program is designed to encourage the development and implementation of bold, new potentially transformative models for STEM graduate education training. The program is dedicated to effective training of STEM graduate students in high priority interdisciplinary or convergent research areas through comprehensive traineeship models that are innovative, evidence-based, and aligned with changing workforce and research needs.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.

数据科学和分析是一个新兴的跨学科领域，包括计算，统计和各种应用领域，包括医学，护理，工业和商业应用等。美国目前研究生课程的一个显著缺点是，科学家和工程师在自己的专业领域接受了良好的培训，但缺乏数据科学和分析所带来的新科学发现和行业应用所需的综合知识。授予佛罗里达大西洋大学（FAU）的国家科学基金会研究培训奖学金将通过提出一种通过体验式学习进行融合教育的新模式来解决这些缺点。跨学科教育以和谐的方式整合不同学科，以构建新知识，并将学生提升到更高的认知能力和持续知识和技能领域。该培训计划预计将为大约一百六十名研究生（160）提供一个独特而全面的培训机会，其中包括三十五（35）名受资助的学员。来自五个学院和十个部门的三十名教师将参加该计划。该计划有可能对未来数据科学专业人员的培训实践产生重大影响。课程的主要培训内容将包括开发标准化课程，为各种应用领域创建不同的测试平台，训练营，深入的选修课程和专业研讨会。正规化课程将用于解决进入该计划的学生的各种背景。融合的研究主题将集中在三个数据科学和分析领域：（i）医疗和医疗保健应用，（ii）行业应用，以及（iii）数据科学和人工智能技术。为了解决这些问题，我们的目标是为数据科学和分析的研究生创建一个课程，每个课程将由来自两个不同学科的至少两名教师开发。为了整合研究和培训，将在新创建的数据科学和人工智能实验室中开发不同应用领域的多个测试平台。 每一个与研究项目相关的试验平台将包括一个计算机平台、软件工具和一套学习模块。研究项目将与行业合作伙伴共同制定，这些合作伙伴是FAU NSF行业/大学合作研究CAKE（高级知识实现中心）的成员。该计划将培养具有技术深度和对数据科学技术和应用的理解的毕业生。NSF研究培训生（NRT）计划旨在鼓励为STEM研究生教育培训开发和实施大胆的，新的潜在变革模式。该计划致力于通过创新的、基于证据的、与不断变化的劳动力和研究需求相一致的综合培训模式，在高优先级的跨学科或融合研究领域对STEM研究生进行有效培训。该奖项反映了NSF的法定使命，并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，被认为值得支持。