REU Site: Computational Mathematics for Data Science

面向本科生的Emory Research Experience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重要性，几乎影响到科学的每一个领域。然而，学术培训机会和熟练工人的数量没有跟上私营和公共实体需求的快速增长。这个REU网站强调发展研究和专业技能，以提高学生理解、指导和有效沟通数据科学和计算数学研究的能力。这个为期三年的项目将在每年夏天对12名本科生进行为期8周的培训。来自埃默里数学系和计算机科学系的教职员工将监督和指导学生。该网站的活动旨在激励本科生攻读这一领域的研究生学位，并让他们掌握在学术界和工业界开始职业生涯所需的数学和计算技能。招生将在全国范围内进行，重点关注代表性不足的群体和研究机会有限的大学录取的学生。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。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，以产生新的解决方案和发现。这个REU网站将使本科生团队能够在计算数学和数据科学之间的接口上做出贡献。这个REU网站的年度研究主题广泛，包括成像科学的学习(2024年)，将模型与数据相结合(2025年)，以及用计算和机器学习方法发现新的数学(2026年)。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、最优化、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。这些见解将在学生创作的出版物、开源软件和在线博客中开发和传播。每周一次的研讨会还将为他们的导师提供专业的指导和研究技能，包括科学写作、口头和海报演示以及云计算。有关该网站的更多信息可在http://www.math.emory.edu/site/cmds-reuret/.This网站上找到，该奖项反映了美国国家科学基金会的法定使命，并已通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。

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.