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.

休斯顿大学计算机科学系将在以数据为中心的计算前沿领域开展本科生研究经验（REU）现场项目，这是一个具有国家重要性的领域。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，这反过来又通过扩大其在计算机科学方面的知识基础而使这一概念受益。在该计划的三个夏天的每一个，十名学生被选为十周的住宅活动。具体的计划目标如下：（1）学生将发展科学研究能力，以及演讲和写作技巧。(2)学生将产生有意义的研究结果，这些结果可能会被写下来在适当的会议或期刊上发表。(3)参与者将学习展示和传播研究成果。技术活动将与小组活动相结合，例如对当地研究实验室的实地考察和学术和工业研究人员以及REU计划校友的研讨会。(4)参与者将通过持续的接触和研究参与，包括研究成果的展示，在夏季之后保持并增加他们对研究职业的兴趣。重点是专业发展，使学生可以继续在他们的家乡大学的研究项目工作，并为研究生学习做好准备。学生将参加关于职业发展、道德和法律的问题的讲习班（如：例如，在一个实施例中，知识产权）和文献检索方法;他们将获得有关研究生院问题的广泛建议，包括如何选择程序/学校/顾问。目标是让该计划的导师在计划结束后对其参与者产生持久的影响。计划的成功将通过学生和教师的问卷调查，并通过外部评估不断评估;此反馈用于改进程序。本项目提出了一些有趣而有意义的研究项目。任何研究奋进的一个关键方面是可验证的事实。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，参与者必须了解研究、客观性和可核查性的核心原则。提出了分析各种类型数据的项目，以使参与者了解这些研究的核心原则。学生从提供有限的计算机科学研究机会的大学中招募，例如历史上的黑人大学。这些机构中的许多有才华的学生要么不知道研究职业的可能性，要么缺乏直接探索研究的机会。重点将放在吸引代表性不足的少数民族和妇女。该计划应该吸引新的，非传统的学生进入研究，加强他们对CS的兴趣，提高学生在他们的学术课程保留，并为他们准备研究生院。这个奖项反映了NSF的法定使命，并已被认为是值得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的支持。