REU Site: Undergraduate Research Experience in Frontiers of Data-Driven Computing

REU 网站：数据驱动计算前沿的本科生研究经验

• 批准号: 1950297
• 负责人: Ernst Leiss
• 金额: $ 40.27万
• 依托单位: University of Houston
• 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: 2020-02-01 至 2024-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950297&HistoricalAwards=false
• 关键词: REU; Site; Undergraduate; Research; Experience

This funding renews a Research Experiences for Undergraduates (REU) Site at the University of Houston. A team of experienced faculty mentors will guide undergraduate students in summer research projects focused on data-driven computing. A crucial aspect of most research is verifiable facts. In most computer science research, data embodies the underlying facts. Data-driven computing provides a reproducible and objective basis for drawing research conclusions. The site will recruit a cohort of 10 students each summer with a focus on students from non-research-intensive institutions as well as students from groups traditionally under-represented in the computing fields. The students will participate in other professional development that will help prepare them for graduate studies and other careers in computing. The intellectual merit of this project lies in the intellectual focus on data-driven computing and the strong faculty group guiding the research as well as the state-of-the art facilities the students will use. In this REU Site, projects involving analyzing various types of data, including medical data, text, network packets, and biometric data, will expose the participating undergraduate students to the core tenets of research, objectivity, and verifiability. The objectives of the site are for students to: develop competency in scientific research, presentation, and writing skills; produce meaningful research results written up in a format acceptable for publication in an appropriate conference or journal; sustain and increase their interest in research careers after their summer research experience; become prepared to apply to graduate school; and present and disseminate their research results effectively.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.

这笔资金恢复了休斯顿大学的本科生（REU）网站的研究经验。 一支经验丰富的教师导师团队将指导本科生的夏季研究项目，重点是数据驱动计算。大多数研究的一个关键方面是可验证的事实。 在大多数计算机科学研究中，数据体现了基本事实。 数据驱动的计算为得出研究结论提供了可再现和客观的基础。该网站将每年夏天招募10名学生，重点关注非研究密集型机构的学生以及来自计算领域中代表不足的团体的学生。 学生将参加其他专业发展，这将有助于他们为研究生学习和其他职业做好准备。 该项目的智力优点在于智力侧重于数据驱动的计算以及强大的教师团体指导研究以及学生将使用的最先进的设施。 在此REU站点中，涉及分析各种数据的项目，包括医疗数据，文本，网络数据包和生物识别数据，将使参与的本科生将参与的本科生暴露于研究，客观性和可验证性的核心原则。该网站的目标是让学生：发展科学研究，演讲和写作技巧的能力；产生有意义的研究结果，以适当的会议或期刊上出版的形式编写的格式；在夏季研究经验之后，维持并增加了他们对研究职业的兴趣；准备申请研究生院；该奖项反映了NSF的法定任务，并被认为是值得通过基金会的知识分子优点和更广泛的影响评论标准来评估的。