Quality and Productivity Research Conference - Data and Science Is a Winning Alliance

质量和生产力研究会议 - 数据和科学是双赢的联盟

• 批准号: 1916884
• 负责人: Michael Baron
• 金额: $ 2.57万
• 依托单位: American University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-04-01 至 2020-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1916884&HistoricalAwards=false
• 关键词: Quality; Productivity; Research; Conference; Data

This project funds student participation in the 36th Quality and Productivity Research Conference, or QPRC, hosted by American University in Washington, DC on June 11-13, 2019. This QPRC has a special theme devoted to the Data Revolution, "Data and Science Is a Winning Alliance." The conference aims to demonstrate and explore the interplay between data and science, and to discuss modern scientific approaches to handling big, multidimensional, unstructured data. The sessions will address how data and science, the two fundamental sources of knowledge, are leveraging each other to accelerate discoveries and increase quality and productivity. The program will include a comprehensive discussion of cutting-edge modern methodologies in diverse aspects of data science and current progress made in such computer-intensive fields as stream data mining, machine learning, functional data analysis, image reconstruction, and facial recognition. Participating statisticians, data scientists, quantitative analysts, and representatives of different branches of industry and government will exchange novel ideas and share experiences in working with modern big data to discover knowledge and applying it in numerous fields. Plenary and invited paper sessions at the 36th QPRC are scheduled in the following subjects: machine learning, applied data mining, time series and forecasting, text analytics, data science, cybersecurity, data visualization, big data analytics, statistical process control monitoring, functional data analysis, and spatial data science. The conference also includes contributed and poster sessions and a technical tour. It is preceded by a one-day course "Big Data Analytics: Dealing with Structured, Semi-structured, and Unstructured Data." Strong student participation is a vital component of the 36th QPRC. Efforts will be made to broaden participation by recruiting students from under-represented groups and engaging students from numerous universities and graduate programs across the United States. Students are invited to submit contributed and poster presentations and compete for travel scholarships. The conference details are on its web site, https://www.american.edu/cas/qprc/.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.

本项目资助学生参加由美利坚大学于2019年6月11日至13日在华盛顿特区举办的第36届质量与生产力研究会议（QPRC）。本届QPRC的特别主题是“数据与科学是制胜联盟”，致力于数据革命。会议旨在展示和探索数据与科学之间的相互作用，并讨论处理大的、多维的、非结构化数据的现代科学方法。会议将讨论数据和科学这两个基本的知识来源如何相互利用，以加速发现，提高质量和生产力。该计划将包括对数据科学各个方面的前沿现代方法的全面讨论，以及在流数据挖掘、机器学习、功能数据分析、图像重建和面部识别等计算机密集型领域取得的最新进展。与会的统计学家、数据科学家、定量分析师，以及来自不同行业和政府部门的代表，将在使用现代大数据方面交流新颖的想法和分享经验，以发现知识并将其应用于众多领域。第36届QPRC的全体会议和特邀论文会议将涉及以下主题：机器学习、应用数据挖掘、时间序列和预测、文本分析、数据科学、网络安全、数据可视化、大数据分析、统计过程控制监测、功能数据分析和空间数据科学。会议还包括专题讨论会和海报讨论会以及技术参观。在此之前有一个为期一天的课程“大数据分析：处理结构化、半结构化和非结构化数据”。学生的积极参与是第36届QPRC的重要组成部分。我们将努力扩大参与，从代表性不足的群体中招收学生，并让美国各地众多大学和研究生项目的学生参与进来。学生们被邀请提交论文和海报，并竞争旅游奖学金。会议的详细信息在其网站https://www.american.edu/cas/qprc/.This上，该奖项反映了NSF的法定使命，并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，被认为值得支持。