REU Site: Scientific computing for structure in big or complex datasets

REU 站点：大型或复杂数据集中结构的科学计算

• 批准号: 1949972
• 负责人: Burton Rosenberg
• 金额: $ 40万
• 依托单位: University of Miami
• 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: 2020-03-01 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1949972&HistoricalAwards=false
• 关键词: REU; Site; Scientific; computing; structure

Science contributes to the national welfare to solving current problems, advancing towards a more prosperous and peaceful world, and enriching each citizen’s understanding of the world. The career path towards a scientist is difficult and often exclusive, and the national welfare is served by attracting, encouraging, and mentoring those undergraduates who are considering a scientific career. The project mission is to do this, and to anticipate the changing nature of science by training young scientists in the theoretical and practical use of computation to find, understand, and exploit structure in large or complex data sets. The project also broadens participation in scientific research by locating and encouraging talented students at institutions with fewer research offerings than the REU site.A portfolio of mentored projects is offered. Projects feature computation, either for the exploration or manipulation of data, such as for visualization or high performance GPU computation, or for the theoretical framework of computation, such as for understanding brain processes, deep learning, and neural nets. Because of the cross-cutting nature of computational science, the projects come from diverse fields with mentors from diverse departments, including Computer Science, Chemistry, Psychology, the Center for Computational Sciences, and the medical school. Each student pairs with a mentor on a project of mutual interest, and during the ten week summer experience, is involved in authentic research, often interacting with graduate students. The experience concludes with a poster session to present the outcomes. The participants are encouraged to, and the project will fund, travel to present posters at national science conferences.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.

科学有助于国家福祉，解决当前问题，迈向更加繁荣与和平的世界，并丰富每个公民对世界的了解。走向科学家的职业道路是困难的，往往是排他性的，国家福利是通过吸引，鼓励和指导那些正在考虑科学生涯的本科生服务的。该项目的使命就是要做到这一点，并通过培训年轻科学家在理论和实际使用计算来发现，理解和利用大型或复杂数据集的结构来预测科学的变化性质。该项目还通过在研究项目比REU网站少的机构中寻找和鼓励有才华的学生来扩大科学研究的参与。项目以计算为特征，用于数据的探索或操作，例如可视化或高性能GPU计算，或者用于计算的理论框架，例如理解大脑过程，深度学习和神经网络。由于计算科学的交叉性，这些项目来自不同的领域，导师来自不同的部门，包括计算机科学，化学，心理学，计算科学中心和医学院。每个学生都与一个共同感兴趣的项目的导师配对，并在为期十周的夏季体验中，参与真实的研究，经常与研究生互动。经验结束时，将举行海报会议，介绍成果。鼓励参与者，该项目将资助，前往目前的海报在国家科学会议。这个奖项反映了NSF的法定使命，并已被认为是值得的支持，通过评估使用基金会的知识价值和更广泛的影响审查标准。