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

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，这在很大程度上是为了应对与海量数据集相关的挑战。数据收集和存储能力的增强要求从根本上改变数据分析的方法。今天的大数据挑战提供了一个独特的机会，可以发现新的可扩展方法，并扩展现有的理论和计算算法。会议以Andrea Bertozzi和Aad van der Vaart的主旨演讲为特色。此外，一个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小组将进行应邀的全体演讲和海报演示。该项目利用国家科学基金会的资金支持大约40名研究人员的旅行和其他参与费用，优先考虑研究生、博士后学者和职业生涯早期的教员。2017年的巴雷特讲座将是该系列讲座的第47部分，该系列讲座始于向著名科学家约翰·H·巴雷特致敬，他于1969年去世时担任数学系主任。这些讲座是该国持续时间最长的数学系列讲座之一，由杰出的演讲者授课。第47讲的重点是几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渗透。一个由知名研究人员组成的充满活力的团队将展示几种研究途径，以整合我们各自(但似乎完全不同的)大数据视角的各个方面。这些联系最终将加深我们对新兴方法论的理解，这些方法论对于解决21世纪的科学和工程问题至关重要。特别是年轻的研究人员，将从会议上提出的各种方法中受益。欲了解更多有关这次会议的信息，请访问http://www.math.utk.edu/barrett/。

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/