Quality and Productivity Research Conference: Data, Statistics, and Responsibility

第38届质量与生产力研究会议(QPRC)将于2022年6月14日至16日在加利福尼亚州旧金山由旧金山州立大学主办，随后将于6月13日举行为期一天的传统课程。这次会议是美国统计协会质量与生产力分会的主要年度会议。2022年QPRC的主题是“数据、统计和责任”。会议旨在促进在处理大数据、多维数据方面最高水平的科学诚信、可重复性、公共问责性和社会责任。它将包括对数据科学和统计各个方面的尖端现代方法的全面讨论。学生的参与是会议的重要组成部分。NSF的资金用于支持学生积极参与会议及其相关的一天课程。来自美国各地众多大学和研究生项目的学生，特别是那些来自代表不足的群体的学生，将全面参与进来。学生将有机会介绍他们的研究，与科学界的其他人建立联系，并向从事统计和数据科学前沿工作的研究人员和从业者学习。他们将被邀请提交投稿和海报演示文稿，并竞争旅行奖学金。这次会议吸引了来自学术界、工业界和政府的知名研究人员。与会的统计学家、数据科学家、量化分析师将交流使用现代大数据发现知识并将其应用于不同领域的新想法和经验。会议将展示从数据中收集的知识的力量以及科学完整性和可重复性的重要性。第三十八届QPRC的全体会议和特邀会议的主题如下：数据科学、机器学习、大数据分析、时间序列和预测、统计过程控制监测、实验设计和分析。会议还包括投稿和海报会议以及技术之旅。课程之前有一个为期一天的课程，名为“用Spark、机器学习和深度学习为统计学家赋权”。本课程将概述在云环境中的真实世界数据科学应用程序中，将R和Python用于一些最流行的机器学习和深度学习模型。会议的细节在其网站上，https://qprc2022.com/.This奖项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。

The 38th Quality and Productivity Research Conference (QPRC) will be hosted by San Francisco State University in San Francisco, California on June 14-16, 2022, preceded by a traditional one-day course on June 13. This conference is the main annual meeting for the Quality and Productivity Section of the American Statistical Association. The theme of the 2022 QPRC is "Data, statistics, and responsibility." The conference aims to promote the highest level of scientific integrity, reproducibility, public accountability, and social responsibility in handling big, multidimensional data. It will include a comprehensive discussion of cutting-edge modern methodologies in all aspects of data science and statistics. Student participation is a vital part of the conference. NSF funds are used to support the active participation of students in the conference and its associated one-day course. Students from numerous universities and graduate programs across the US, especially those from under-represented groups, will be fully engaged. Students will have the opportunity to present their research, build connections with others in the scientific community, and learn from researchers and practitioners working at the cutting edge of statistics and data science. They will be invited to submit contributed and poster presentations and compete for travel scholarships. This conference attracts prominent researchers from academia, industry, and government. Participating statisticians, data scientists, quantitative analysts will exchange novel ideas and experience in working with modern big data to discover knowledge and apply it to diverse fields. The Conference will demonstrate the power of knowledge gleaned from data and the importance of scientific integrity and reproducibility. Plenary and invited sessions at the 38th QPRC are scheduled in the following subjects: data science, machine learning, big data analytics, time series and forecasting, statistical process control monitoring, design and analysis of experiments. The conference also includes contributed and poster sessions and a technical tour. It is preceded by a one-day course, "Empowering the Statistician with Spark, Machine Learning and Deep Learning." This course will provide an overview of using R and Python for some of the most popular machine learning and deep learning models in real-world data science applications in a cloud environment. The conference details are on its website, https://qprc2022.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.