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

质量和生产力研究会议：数据、统计和责任

• 批准号: 2212100
• 负责人: Alexandra Piryatinska
• 金额: $ 2万
• 依托单位: San Francisco State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-04-15 至 2024-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2212100&HistoricalAwards=false
• 关键词: Quality; Productivity; Research; Conference; Data

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.

第38届质量和生产力研究会议（QPRC）将于2022年6月14日至16日由弗朗西斯科州立大学在加州州弗朗西斯科举办，之前将于6月13日举办为期一天的传统课程。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。2022年QPRC的主题是“数据、统计和责任”。该会议旨在促进科学诚信，可重复性，公共责任和社会责任在处理大，多维数据的最高水平。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为期一天的课程。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。学生将有机会展示他们的研究，与科学界的其他人建立联系，并向统计和数据科学前沿的研究人员和从业人员学习。他们将被邀请提交贡献和海报介绍，并竞争旅行奖学金。这次会议吸引了来自学术界，工业界和政府的杰出研究人员。与会的统计学家、数据科学家、定量分析师将交流使用现代大数据的新想法和经验，以发现知识并将其应用于不同领域。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38届QPRC的全体会议和特邀会议计划在以下主题中进行：数据科学，机器学习，大数据分析，时间序列和预测，统计过程控制监控，实验设计和分析。会议还包括投稿和海报会议以及技术参观。在此之前，有一个为期一天的课程，“用Spark、机器学习和深度学习赋予太空人权力”。“本课程将概述在云环境中的真实数据科学应用中使用R和Python进行一些最流行的机器学习和深度学习模型。会议的详细信息在其网站上，https://qprc2022.com/.This奖反映了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。