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的发展，主要是为了应对与大规模数据集相关的挑战。收集和储存数据能力的提高要求数据分析方法发生根本变化。今天的大数据挑战为发现新的可扩展方法和扩展当前的理论和计算算法提供了独特的机会。会议的特点是由安德烈贝尔托齐和阿德货车德法特主旨演讲。此外，一个充满活力的美国和国际研究人员在不同的职业阶段将邀请全体会议和海报演示。该项目利用NSF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，博士后学者和早期职业教师。2017年巴雷特讲座将是一系列讲座的第47期，该系列讲座开始于向杰出的科学家约翰·H。巴雷特，负责人数学系在他去世时，于1969年。讲座是全国运行时间最长的数学系列讲座之一，由杰出的演讲者提供。第47次讲座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。一个由杰出研究人员组成的动态小组将揭示几种研究途径，以整合我们各自（但似乎不同）的大数据视角。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/

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/