REU Site: Data Analytics and Information Retrieval

REU 网站：数据分析和信息检索

• 批准号: 1852249
• 负责人: Junhua Ding
• 金额: $ 35.99万
• 依托单位: University of North Texas
• 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: 2019-03-01 至 2024-02-29
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1852249&HistoricalAwards=false
• 关键词: REU; Site; Data; Analytics; Information

This three-year Research Experiences for Undergraduates site in Data Analytics and Information Retrieval is hosted at the University of North Texas (UNT). The objective of this project is to provide a supportive and engaging research and learning environment for students to build research experiences in data analytics and information retrieval, develop broadly applicable research skills, enhance skills in research collaboration and communication, and explore research interests in data science. It offers a ten-week research program for ten undergraduate students each summer. During the ten-week period, each student engages in closely mentored research, under advising of a faculty mentor, in one major research topic in data analytics and information retrieval. The faculty-student interaction, as well as interaction among students, take many different forms. The project supports continual mentoring of students after the summer program.The site leverages the expertise of the faculty mentors in data analytics, computational linguistics, and information retrieval to develop state-of-the-art integrated research projects in data analytics and information retrieval for more effectively advising students in research. The research projects cover the fundamental issues in algorithms, models, tools, and applications of both data analytics and information retrieval. The sample research projects include: 1. Data analytics of biomedical images, 2. Content based image retrieval, 3. Information retrieval of large-scale text collections, and 4. Social media information retrieval for disaster research.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.

在北德克萨斯大学（UNT）主持了有关数据分析和信息检索中本科生网站的三年研究经验。该项目的目的是为学生提供一个支持和吸引人的研究和学习环境，以建立数据分析和信息检索中的研究经验，发展广泛适用的研究技能，增强研究协作和沟通的技能，并探索数据科学研究的研究兴趣。它每年夏天为十个本科生提供十周的研究计划。在十周期间，在教师导师的建议下，在数据分析和信息检索方面的一个主要研究主题。教师的互动以及学生之间的互动采取了许多不同的形式。该项目在夏季计划结束后支持学生的持续指导。该地点利用教师导师在数据分析，计算语言学和信息检索方面的专业知识，以在数据分析和信息检索中开发最先进的综合研究项目，以在研究中更有效地为学生提供建议。研究项目涵盖了数据分析和信息检索的算法，模型，工具和应用中的基本问题。示例研究项目包括：1。生物医学图像的数据分析，2。基于内容的图像检索，3。大规模文本收集的信息检索和4。社交媒体信息检索灾害研究的检索。该奖项反映了NSF的法定任务，并通过使用该基金会的知识分子的优点和广泛的影响来评估NSF的法定任务。