The 2017 John Barrett Memorial Lectures -- Mathematical Foundations of Data Science

2017年John Barrett纪念讲座——数据科学的数学基础

• 批准号: 1700494
• 负责人: Vasileios Maroulas
• 金额: $ 1.6万
• 依托单位: University of Tennessee Knoxville
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1700494&HistoricalAwards=false
• 关键词: 2017; John; Barrett; Memorial; Lectures

The 2017 Barrett Lectures, entitled "Mathematical Foundations of Data Sciences," will be held May 1-3, 2017 at the University of Tennessee in Knoxville, Tennessee. Data science has experienced rapid recent development, largely in response to the challenges associated with massive data sets. The enhanced ability to collect and store data requires a fundamental change in approaches to data analysis. Today's big data challenge presents a unique opportunity to discover new scalable approaches and to expand current theoretical and computational algorithms. The conference features keynote lectures by Andrea Bertozzi and Aad van der Vaart. Additionally, a dynamic group of U.S. and international researchers at different career stages will give invited plenary talks and poster presentations. This project utilizes NSF funding to support travel and other participation costs for approximately forty researchers, giving priority to graduate students, postdoctoral scholars, and early career faculty members. The 2017 Barrett Lectures will be the 47th installment of a lecture series that began as a tribute to the distinguished scientist John H. Barrett, head of the Mathematics Department at the time of his death in 1969. The Lectures are one of the longest-running mathematical lecture series in the country and are delivered by distinguished speakers. The focus of the 47th Lectures is the application of several mathematical methods in topics of data analysis and the growing penetration of complex physical phenomena and formidable engineering problems related to big data. A dynamic group of prominent researchers will expose several research avenues for integrating aspects of our respective (but seemingly disparate) big data perspectives. These connections will ultimately deepen our understanding of the emerging methodologies, which are vital for solving the scientific and engineering problems of the 21st century. Young researchers, especially, will benefit from exposure to the wide array of approaches presented at the meeting. More information about the conference is available at http://www.math.utk.edu/barrett/

2017 年巴雷特讲座题为“数据科学的数学基础”，将于 2017 年 5 月 1 日至 3 日在田纳西州诺克斯维尔的田纳西大学举行。数据科学最近经历了快速发展，主要是为了应对与海量数据集相关的挑战。收集和存储数据能力的增强需要数据分析方法的根本改变。当今的大数据挑战提供了一个独特的机会来发现新的可扩展方法并扩展当前的理论和计算算法。会议由 Andrea Bertozzi 和 Aad van der Vaart 发表主题演讲。此外，由处于不同职业阶段的美国和国际研究人员组成的充满活力的团队将受邀进行全体会议演讲和海报展示。该项目利用 NSF 资金来支持大约 40 名研究人员的旅行和其他参与费用，并优先考虑研究生、博士后学者和早期职业教员。 2017 年巴雷特讲座将是系列讲座的第 47 期，该系列讲座最初是为了纪念杰出科学家约翰·H·巴雷特 (John H. Barrett)，他于 1969 年去世时担任数学系主任。该讲座是举办时间最长的讲座之一。该国的数学系列讲座由杰出的演讲者讲授。第47讲的重点是多种数学方法在数据分析主题中的应用以及与大数据相关的复杂物理现象和艰巨工程问题的日益深入。一群充满活力的杰出研究人员将揭示几种研究途径，用于整合我们各自（但看似不同）大数据观点的各个方面。这些联系最终将加深我们对新兴方法的理解，这对于解决 21 世纪的科学和工程问题至关重要。尤其是年轻的研究人员，将受益于会议上提出的各种方法。有关会议的更多信息，请访问 http://www.math.utk.edu/barrett/