REU SITE: Research Experience for Undergraduates in Frontiers in Data-driven Computing

REU 站点：数据驱动计算前沿本科生的研究经验

• 批准号: 2244279
• 负责人: Ernst Leiss
• 金额: $ 42.01万
• 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: 2023
• 资助国家: 美国
• 起止时间: 2023-02-15 至 2026-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2244279&HistoricalAwards=false
• 关键词: REU; SITE; Research; Experience; Undergraduates

The Computer Science Department of the University of Houston will conduct a Research Experience for Undergraduates (REU) site program in Data-Centric Frontiers of Computing, an area of national importance. Exposure to meaningful research activities allows participants to assess their ability to conduct research which in turn benefits the notion by expanding its knowledge base in computer science. In each of the three summers of the program, ten students are selected for ten weeks of residential activities. The specific program objectives are as follows: (1) Students will develop competency in scientific research, as well as presentation and writing skills. (2) Students will produce meaningful research results, which may be written up for publication in an appropriate conference or journal. (3) Participants will learn to present and disseminate research results. Technical activities will be integrated with group activities, such as site visits to local area research laboratories and seminars by academic and industrial researchers, as well as alumni of the REU program. (4) Participants will sustain and increase their interest in research careers after the summer, through continuing contacts and research participation, including presentations of research results. The focus is on professional development so students can continue to work on research projects at their home university and be prepared for graduate studies. Students will take part in workshops on career development, ethics and legal issues (e. g., intellectual property), and methods of literature search; they will receive extensive advice on questions related to graduate school, including how to choose a program/school/advisor. The goal is for the program’s mentors to make a lasting impact on its participants beyond the program's duration. Program success will be continually evaluated through student and faculty questionnaires, and by an external evaluator; this feedback is used to improve the program. Interesting and meaningful research projects are proposed in this project. A crucial aspect of any research endeavor is verifiable facts. In most computer science (CS) research, it is data that embody these underlying facts. It is therefore important that participants learn about the core tenets of research, objectivity and verifiability. Projects analyzing various types of data are proposed to expose participants to these core tenets of research. Students are recruited from universities that offer limited research opportunities in computer science, such as historically black colleges. Many talented students in such institutions are either unaware of research career possibilities or lack access to opportunities to explore research firsthand. Emphasis will be placed on attracting underrepresented minorities and females. The program should attract new, nontraditional students into research, reinforce their interest in CS, improve student retention in their academic programs, and prepare them for graduate school.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.

休斯顿大学的计算机科学系将在以数据为中心的计算前沿（一个国家重要性领域）为本科生（REU）站点计划进行研究经验。接触有意义的研究活动使参与者能够评估他们进行研究的能力，从而通过扩大计算机科学的知识基础来使概念受益。在该计划的三个夏天中，选择了十个学生十周的居民活动。特定的计划目标如下：（1）学生将发展科学研究的能力以及演讲和写作技巧。 （2）学生将产生有意义的研究结果，可以在适当的会议或期刊中写出供出版。 （3）参与者将学会提出并传播研究结果。技术活动将与小组活动相结合，例如学术和工业研究人员以及REU计划的校友对本地研究实验室和半岛的现场访问。 （4）参与者将通过持续的接触和研究参与（包括研究结果的介绍）来维持和增加对研究职业的兴趣。重点是专业发展，因此学生可以继续在他们的家庭大学从事研究项目，并为研究生学习做好准备。学生将参加有关职业发展，道德和法律问题（例如知识产权）和文学搜索方法的研讨会；他们将获得有关与研究生院有关的问题的广泛建议，包括如何选择课程/学校/顾问。目的是让该计划的导师对计划持续时间以外的参与者产生持久影响。计划成功将通过学生和教职员工问卷进行评估，并通过外部评估来评估；此反馈用于改善程序。该项目提出了有趣且有意义的研究项目。任何研究努力的关键方面都是可验证的事实。在大多数计算机科学（CS）研究中，数据体现了这些基本事实。因此，重要的是参与者了解研究的核心原则，客观和可验证性。提出了分析各种数据的项目，以使参与者了解这些核心研究原则。从大学（例如历史上的黑人学院）提供有限的研究机会的大学中招募学生。这些机构中的许多才华横溢的学生要么没有意识到研究职业的可能性，要么缺乏亲身探索研究的机会。重点将放在吸引代表性不足的少数民族和女性上。该计划应吸引新的非传统学生进行研究，增强他们对CS的兴趣，改善学生在学术课程中的保留率并为研究生做准备。该奖项反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来获得的支持。