REU Site: Computational Mathematics for Data Science

REU 网站：数据科学的计算数学

• 批准号: 2349534
• 负责人: Lars Ruthotto
• 金额: $ 45.5万
• 依托单位: Emory University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-05-01 至 2027-04-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2349534&HistoricalAwards=false
• 关键词: REU; Site; Computational; Mathematics; Data

The Emory Research Experience for Undergraduates site focuses on computational mathematics and its applications in data science. Data science is of fundamental and strategic importance to the US and impacts nearly every field of science. However, the number of academic training opportunities and skilled workers has not kept pace with the rapid growth in demand from private and public entities. This REU site emphasizes developing research and professional skills to increase students’ ability to understand, conduct, and effectively communicate data science and computational mathematics research. The three-year program will train twelve undergraduates for eight weeks each summer. Faculty members from Emory's Departments of Mathematics and Computer Science Departments will supervise and mentor the students. The site's activities seek to motivate undergraduate students to pursue a graduate degree in this area and equip them with the mathematical and computational skills required to launch careers in academia and industry. Student recruitment will be nationwide, focusing strongly on underrepresented groups and students enrolled in colleges with limited research opportunities. The REU site will introduce undergraduate students to the mathematical theory of computational and machine learning tools and help them tackle open problems in mathematics and related areas. Mathematical breakthroughs in theory, models, and computational methods are needed to extract knowledge from increasingly large and complex data sets and harvest the potential of artificial intelligence to lead to new solutions and discoveries. This REU site will enable teams of undergraduate students to contribute at the interface between computational mathematics and data science. This REU site's annual research themes are broad and consist of learning in imaging science (2024), combining models with data (2025), and discovering new mathematics with computational and machine learning methods (2026). Students will be introduced to various mathematical techniques, including machine learning, deep neural networks, numerical and symbolic computing, optimization, differential equations, and formal mathematics. The projects are designed to promote learning and create new insights of relevance to the scientific community. These insights will be developed and disseminated in student-authored publications, open-source software, and online blogs. The weekly seminar will also provide their mentees with professional mentorship and research skills, including scientific writing, oral and poster presentations, and cloud computing. More information about the site can be found at http://www.math.emory.edu/site/cmds-reuret/.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.

埃默里大学本科生研究体验网站专注于计算数学及其在数据科学中的应用，数据科学对美国具有基础性和战略性意义，几乎影响到所有科学领域，但学术培训机会和技术工人的数量却没有增加。该 REU 网站紧跟私人和公共实体需求的快速增长，强调发展研究和专业技能，以提高学生理解、进行和有效交流数据科学和计算数学研究的能力。每年夏天，有 12 名本科生参加为期八周的课程。埃默里大学数学系和计算机科学系将监督和指导学生，旨在激励本科生攻读该领域的研究生学位，并为他们提供在学术界和工业界开启职业生涯所需的数学和计算技能。 REU 网站将在全国范围内进行招聘，重点关注代表性不足的群体和在研究机会有限的大学就读的学生，该网站将向本科生介绍计算和机器学习工具的数学理论，并帮助他们解决数学和相关领域的开放性问题。需要在理论、模型和计算方法方面取得数学突破，以便从日益庞大和复杂的数据集中提取知识，并挖掘人工智能的潜力，从而产生新的解决方案和发现。该 REU 网站将使本科生团队能够为该项目做出贡献。该 REU 网站的年度研究主题广泛，包括成像科学学习（2024 年）、模型与数据相结合（2025 年）以及通过计算和机器学习方法发现新数学（2026 年）。将介绍各种数学技术，包括机器学习、深度神经网络、数值和符号计算、优化、微分方程和形式数学，这些项目旨在促进学习并创造与科学界相关的新见解。将在学生撰写的出版物、开源软件和在线博客中开发和传播。每周的研讨会还将为学员提供专业指导和研究技能，包括科学写作、口头和海报演示以及云计算更多信息。有关该网站的信息，请访问http://www.math.emory.edu/site/cmds-reuret/。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。