Statistics in the Big Data Era

该奖项支持研究生和初级研究人员参加于2020年5月27-29日在加州大学伯克利分校西蒙斯计算理论研究所举行的《大数据时代的统计学》会议。这次会议的重点是在许多应用程序中数据泛滥的时代，统计学科的作用和性质的变化，以及人工智能在执行许多数据分析任务方面日益成功。这次会议将邀请大约20位对统计学和机器学习的理论和实践作出根本性贡献的发言者参加。这次会议的目的是将复杂和大数据的统计方法和理论方面的专家与专注于从基因组学到社交网络的一系列应用的研究人员聚集在一起，并为早期职业研究人员提供机会，了解新兴方法和应用。对于研究生和职业早期研究人员来说，这次会议将是一个特别重要的机会，让他们看到大数据时代统计学理论、方法和应用方面的最新进展和新出现的挑战。统计学在包括社会科学和生物科学在内的许多学科的定量研究中发挥着核心作用。随着信息技术的进步，统计学已经经历了从传统方法到大数据分析和现代机器学习的范式转变。本次大会将汇聚当前领先的统计学家和下一代统计领袖，共同探讨大数据统计分析的成就和难点。会议将重点讨论解决具有复杂和异质结构的大数据所面临的挑战的方法。讨论将促进统计学家确定重要的研究主题和在科学和工业中的关键应用的机会。另一个重要的组成部分是海报会议，学生和职业早期研究人员在会上展示他们的工作。会议计划还包括讨论大数据时代的统计和数据科学教育。更多关于会议的信息可以在https://simons.berkeley.edu/workshops/statistics-big-data-era.This奖项上找到，这反映了美国国家科学基金会的法定使命，并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。

This award supports participation by graduate students and junior researchers in the conference "Statistics in the Big Data Era" held at the Simons Institute for the Theory of Computing at the University of California, Berkeley during May 27-29, 2020. This conference focuses on the changing role and nature of the discipline of statistics in the time of a data deluge in many applications, and on the increasing success of artificial intelligence at performing many data analysis tasks. The conference will feature approximately twenty invited speakers who have made fundamental contributions to the theory and practice of statistics and machine learning. The meeting aims to bring together experts in statistical methodology and theory for complex and big data with researchers focused on a range of applications, from genomics to social networks, and to provide opportunities for early-career researchers to learn about both emerging methods and applications. This conference will be an especially important opportunity for graduate students and early-career researchers to see recent advances and emerging challenges in the theory, methodology, and application of statistics in the big data era.Statistics plays a central role in quantitative research in many disciplines, including social and biological sciences. With the advances in information technology, statistics has gone through a paradigm shift from conventional methods to big data analytics and modern machine learning. This conference will bring together current leading statisticians and the next generation of statistical leaders to discuss achievements and difficulties in the statistical analysis of big data. The meeting will focus on methodology for solving challenges involving big data with complex and heterogeneous structure. The discussions will promote opportunities for statisticians to identify important research topics and critical applications in science and industry. Another important component is a poster session in which students and early-career researchers present their work. The conference program also includes discussion of statistics and data science education in the era of big data.More information about the conference can be found at https://simons.berkeley.edu/workshops/statistics-big-data-era.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.