REU Site: Data + Computing = Discovery

REU 站点：数据计算 = 发现

基本信息

批准号：
1950052
负责人：
Matthew Reuter
金额：
$ 40.5万
依托单位：
SUNY at Stony Brook
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：
2020-06-01 至 2025-05-31
项目状态：
未结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1950052&HistoricalAwards=false
关键词：
REU Site Data Computing Discovery

项目摘要

Data + Computing = Discovery (DCD) combines faculty from many programs at Stony Brook University to work with enthusiastic undergraduate students and advance knowledge in many disciplines, including life sciences, social sciences, engineering, and physical sciences. The unifying themes for the REU site are computational and data sciences, which are inherently interdisciplinary and becoming complementary avenues for scientific investigation alongside experiment and theory. Furthermore, the number of students, particularly undergraduates, who develop the required skills for success in computational and data sciences without access to training is very small. Thus, DCD offers resources and training to undergraduate students in computational and data sciences, which will drive new lines of scientific inquiry and research. Once at DCD, participants will learn computer programming skills, apply these skills to research, practice communicating ideas for broad audiences, and meet other outstanding young students. The primary impact of DCD is the lifetime of contributions to many fields of study from the participants that DCD helps assemble, train, and inspire.To accomplish these goals, DCD will host undergraduate participants for a 9-week program every summer. Participants will be matched with Stony Brook faculty who are expert in the physical sciences, life sciences, engineering, and social sciences and have established records of high productivity both in computational research and in fostering student engagement. In addition to working on an original research project with these faculty members, every DCD participant will (i) participate in a course on computer programming with Python, (ii) complete a research methods workshop on the practice of research from ideation to publication, (iii) learn about careers and graduate school opportunities in computational and data sciences, (iv) practice communicating their ideas to a variety of technical and non-technical audiences, (v) present their research in a poster symposium, and (vi) enjoy social and networking activities with other students to form long-term collaborations.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.

数据 + 计算 = 发现 (DCD) 结合了石溪大学许多项目的教师，与热情的本科生一起工作，并推进许多学科的知识，包括生命科学、社会科学、工程和物理科学。 REU 网站的统一主题是计算和数据科学，它们本质上是跨学科的，并成为科学研究与实验和理论的补充途径。此外，在没有接受培训的情况下培养计算和数据科学成功所需技能的学生（尤其是本科生）数量非常少。因此，DCD 为计算和数据科学领域的本科生提供资源和培训，这将推动新的科学探究和研究。进入 DCD 后，参与者将学习计算机编程技能，将这些技能应用于研究，练习与广大受众交流想法，并结识其他优秀的年轻学生。 DCD 的主要影响是 DCD 帮助聚集、培训和激励的参与者对许多研究领域的终生贡献。为了实现这些目标，DCD 每年夏天都会接待本科生参与者参加为期 9 周的项目。参与者将与石溪分校的教师相匹配，他们是物理科学、生命科学、工程和社会科学方面的专家，并在计算研究和培养学生参与方面建立了高生产力的记录。除了与这些教员一起开展原创研究项目外，每位 DCD 参与者还将 (i) 参加 Python 计算机编程课程，(ii) 完成关于从构思到发表的研究实践的研究方法研讨会，( iii) 了解计算和数据科学领域的职业和研究生机会，(iv) 练习向各种技术和非技术受众传达他们的想法，(v) 在海报研讨会上展示他们的研究，以及 (vi) 享受社交活动以及与其他学生的社交活动形成长期合作。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。