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.

本科生网站的Emory研究经验着重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本和战略性的重要性，几乎影响了科学的每个领域。但是，学术培训机会和熟练工人的数量并没有跟上私人和公共实体需求的迅速增长。 REU网站强调开发研究和专业技能，以提高学生理解，进行和有效地传达数据科学和计算数学研究的能力。这项为期三年的计划将培训每年夏天的十二名大学生八周。埃默里（Emory）数学和计算机科学系的教职员工将监督和心理学生。该网站的活动旨在激励本科生在该领域攻读研究生学位，并为他们提供在学术界和行业开展职业所需的数学和计算技能。学生招募将在全国范围内，重点关注代表性不足的团体和研究机会有限的大学的学生。 REU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问题。在理论，模型和计算方法中，数学突破是从越来越大且复杂的数据集中提取知识的，并收获人工智能导致新解决方案和发现的潜力。此REU网站将使本科生团队能够在计算数学与数据科学之间的界面上做出贡献。该REU网站的年度研究主题广泛，包括成像科学的学习（2024），将模型与数据（2025）结合在一起，并发现了与计算和机器学习方法（2026）的新数学。将向学生介绍各种数学技术，包括机器学习，深度神经网络，数值和符号计算，优化，微分方程和正式数学。这些项目旨在促进学习并创建与科学界相关的新见解。这些见解将在由学生创作的出版物，开源软件和在线博客中开发和传播。每周的开创性还将通过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）提供他们的指导。有关该网站的更多信息，请参见http://www.math.emory.edu/site/cmds-reeret/.this奖奖，反映了NSF的法定任务，并被认为是通过基金会的知识分子优点和更广泛的影响审查标准通过评估来评估的。