REU Site: Data + Computing = Discovery

数据+计算=发现（DCD）结合了来自斯托尼布鲁克大学许多项目的教师，与热情的本科生合作，并在许多学科，包括生命科学，社会科学，工程和物理科学方面推进知识。REU网站的统一主题是计算和数据科学，这些科学本质上是跨学科的，并成为科学调查与实验和理论的补充途径。此外，在没有接受培训的情况下，培养出在计算和数据科学方面取得成功所需技能的学生，特别是本科生的人数非常少。因此，DCD为计算和数据科学的本科生提供资源和培训，这将推动新的科学探究和研究。一旦在DCD，参与者将学习计算机编程技能，将这些技能应用于研究，实践沟通的想法，为广大观众，并满足其他优秀的年轻学生。DCD的主要影响是参与者对许多研究领域的贡献，DCD帮助组装，培训和激励。为了实现这些目标，DCD将每年夏天举办为期9周的课程。参与者将与斯托尼布鲁克教师谁是物理科学，生命科学，工程和社会科学的专家，并已建立了高生产力的记录都在计算研究和培养学生的参与度相匹配。除了与这些教师一起从事原创研究项目外，每个DCD参与者将（i）参加Python计算机编程课程，（ii）完成从构思到出版的研究实践研究方法研讨会，（iii）了解计算和数据科学的职业和研究生院机会，（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，及（vi）与其他学生一起参与社交及网络活动，以建立长期的该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

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.