Planning: HBCU-UP: Strengthening Data Science Research Capacity and Education Programs through Academia-Industry Partnership

规划：HBCU-UP：通过学术界与工业界合作加强数据科学研究能力和教育计划

• 批准号: 2332161
• 负责人: Yanshuo Sun
• 金额: $ 20万
• 依托单位: Florida Agricultural and Mechanical University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2332161&HistoricalAwards=false
• 关键词: Planning; HBCU; UP; Strengthening; Data

The Historically Black Colleges and Universities - Undergraduate Program (HBCU-UP) provides support to strengthen STEM undergraduate education and research at HBCUs. To fill a gap between academia and industry in the field of data science, the project team at the Florida A&M University-Florida State University (FAMU-FSU) College of Engineering will develop an academia-industry partnership model in data science research and education in collaboration with the Operations Research and Advanced Analytics (ORAA) Group at American Airlines (AA). The project activities across research and education are designed to benefit both undergraduate and graduate students who are interested in pursuing a career related to data science. The existing industrial engineering curriculum at the FAMU-FSU College of Engineering is expected to be strengthened, especially two core courses, namely Big Data Analytics in Engineering and Introduction to Machine Learning. This project will also support faculty investigators in expanding their research portfolio to aviation, a sector critical to the prosperity and competitiveness.The following specific objectives will be pursued under this project: (1) To design and launch an annual case competition focusing on aviation data analytics for undergraduate and graduate students; (2) To create an aviation data science pathway for underrepresented engineering students through industry-led and student-centered mentoring and professional development training; and (3) To advance the practice of airline operations through joint efforts by graduate students, engineering faculty, and industry professionals, using advanced data analytics. A few methodological contributions in machine learning and mathematical programming would be made after successfully addressing a few key research topics on prediction of checked baggage at flight level, aircraft configuration and load planning, and long-term demand prediction for spare parts, among others.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.

传统黑人学院和大学 - 本科生计划 (HBCU-UP) 为加强 HBCU 的 STEM 本科教育和研究提供支持。为了填补数据科学领域学术界和工业界之间的空白，佛罗里达农工大学-佛罗里达州立大学 (FAMU-FSU) 工程学院的项目团队将在数据科学研究和教育方面开发学术界与工业界的合作模式。与美国航空 (AA) 的运筹研究和高级分析 (ORAA) 小组合作。跨研究和教育的项目活动旨在使有兴趣从事数据科学相关职业的本科生和研究生受益。 FAMU-FSU工程学院现有的工业工程课程预计将得到加强，特别是两门核心课程，即工程大数据分析和机器学习导论。该项目还将支持教师研究人员将他们的研究范围扩大到航空领域，这是一个对繁荣和竞争力至关重要的部门。该项目将追求以下具体目标：（1）设计和发起以航空数据为重点的年度案例竞赛本科生和研究生的分析； (2) 通过行业主导、以学生为中心的指导和专业发展培训，为代表性不足的工程专业学生创建航空数据科学途径； (3) 通过研究生、工程教师和行业专业人士的共同努力，利用先进的数据分析来推进航空公司运营的实践。在成功解决飞行层托运行李预测、飞机配置和负载规划以及备件长期需求预测等几个关键研究主题后，将在机器学习和数学编程方面做出一些方法论贡献。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。