Quality and Productivity Research Conference - Data Science and Statistics for Quality

第37届年度质量和生产力研究会议将于2020年6月8日至6月11日由佛罗里达州塔拉哈西的佛罗里达州立大学主办。本次会议是美国统计协会质量和生产力部门的主要年度会议，该协会是美国领先的统计学家专业协会。2020年会议的主题反映了统计学科不断变化的性质，即“数据科学和统计质量”。“会议的总体目标是促进数据科学在不同应用领域的发展，特别是与质量和过程控制相关的领域。在现代社会的几乎每个分支和日常生活的每个方面，每天都在收集、处理和分析大量数据，因此科学、质量和统计界有义务跟上所收集数据的快速增长和多样性，并为使用这些数据的人提供最新的方法和指导。这次会议将探讨和促进有助于实现这一目标的想法。学生的参与是会议的重要组成部分。来自美国众多大学和研究生课程的学生，特别是来自代表性不足群体的学生将充分参与。国家科学基金会的资金用于支持他们积极参加会议及其相关的为期一天的短期课程。学生将被邀请提交贡献和海报演示文稿，并竞争旅游奖学金。这次会议吸引了来自学术界，工业界和政府的杰出研究人员。来自这些领域的统计学家，数据科学家和从业者将提出并讨论大数据分析各个方面的最新想法和尖端现代方法及其在各种不同领域的应用。会议将重点讨论在计算密集型领域取得的进展，如数据挖掘，机器学习，功能数据分析，图像重建，统计过程控制和不确定性量化等。这将是一个独特的场所，参与者可以与对这些领域感兴趣的下一代学生进行合作和互动。会议的第一天是一个短期课程，强调分析大数据的计算方法，“数据科学入门的整洁方式。“剩下的三天包括全体会议、邀请和贡献的演讲和海报会议。关于会议的更多细节可以在其网页上找到：https://qprc2020.com.This奖项反映了NSF的法定使命，并被认为值得通过使用基金会的知识价值和更广泛的影响审查标准进行评估来支持。

The 37th annual Quality and Productivity Research Conference will be hosted by Florida State University in Tallahassee, Florida, on June 8 through June 11 of 2020. This conference is the main annual meeting for the Quality and Productivity Section of the American Statistical Association, the leading professional association for statisticians in the US. The 2020 conference theme reflects the changing nature of the discipline of statistics, "Data Science and Statistics for Quality." The overall aim of the conference is promotion of data science in diverse applied areas, in particular those associated with the fields of quality and process control. Massive amounts of data are being collected on a daily basis, processed and analyzed in virtually every branch of modern society and every aspect of everyday life, and so the science, quality, and statistical communities are obligated to keep up with the rapid growth and variety of collected data and provide up-to-date methodologies and guidance to those using this data. This conference will explore and promote ideas that will further this goal. Student participation is a vital part of the conference. The students from numerous universities and graduate programs across the US, especially including students from under-represented groups will be fully engaged. NSF funds are used to support their active participation in the conference and its associated one-day short course. Students will be invited to submit contributed and poster presentations and compete for travel scholarships. This conference attracts prominent researchers from academia, industry, and government. Statisticians, data scientists, and practitioners from these areas will propose and discuss the latest ideas and cutting-edge modern methodologies in all aspects of big data analysis and their application to various and diverse fields. The conference will focus on the progress made in such computationally intensive fields such as data mining, machine learning, functional data analysis, image reconstruction, statistical process control, and uncertainty quantification, among others. It will be a unique venue for participants to form collaborations and interact with the next generation of rising students interested in these fields. The first day of the conference is a short course emphasizing computational methods for analyzing big data, "Introduction to Data Science the Tidy Way." The remaining three days consist of plenary, invited, and contributed presentations and poster sessions. More details on the conference can be found at its web page: https://qprc2020.com.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.