Conference: The 2024 Joint Research Conference on Statistics in Quality, Industry, and Technology (JRC 2024) - Data Science and Statistics for Industrial Innovation

会议：2024年质量、工业和技术统计联合研究会议（JRC 2024）——数据科学与统计促进产业创新

• 批准号: 2404998
• 负责人: Yili Hong
• 金额: $ 1.2万
• 依托单位: Virginia Polytechnic Institute and State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-03-15 至 2025-02-28
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2404998&HistoricalAwards=false
• 关键词: Conference; 2024; Joint; Research; Statistics

This project funds U.S. based student participation in the 2024 Joint Research Conference on Statistics in Quality, Industry and Technology (JRC 2024), which will be held in Waterloo, Ontario, Canada, from June 17-20, 2024, at the University of Waterloo. The organization of this conference is also in partnership with Virginia Tech. JRC 2024 is a joint meeting of the 29th Spring Research Conference on Statistics in Industry and Technology (SRC) and the 40th Quality and Productivity Research Conference (QPRC), which happens once every four years. The theme of JRC 2024 is "Data Science and Statistics for Industrial Innovation." JRC 2024 aims to bring together researchers and practitioners worldwide who use statistics in quality, technology, and industrial contexts. The conference promotes communication among researchers and practitioners to enable and ensure the development and widespread use of novel insights and methodology. JRC 2024 has the potential to benefit society by offering participants the opportunities to gain knowledge and reshape their perspectives on topics associated with data science, statistics, and machine learning. JRC 2024 will advocate for the ethical application and understanding of data science, statistics, and machine learning for industrial innovation, which is beneficial for the long-term competitiveness of the U.S. industry. The conference provides a platform to disseminate knowledge to the broader community by sharing short course lecture notes, presentation slides, and posters on the conference website. JRC 2024 aims to broaden the participation of underrepresented groups (i.e., women, racial/ethnic minorities, etc.) in STEM disciplines. JRC 2024 focuses on recent advancements in methodology, best practices, and innovative applications. Participation in JRC 2024 has the potential to advance knowledge and understanding of topics related to data science, statistics, and machine learning and how they can be relevant to industrial innovation. This conference traditionally attracts prominent statisticians, data scientists, quantitative analysts, and others with an established record of highly influential, methodological, and interdisciplinary research. These individuals will have the opportunity to discuss the current progress made in statistics and machine learning, such as big data technology, text modeling, the use of generative artificial intelligence in industrial innovation, and exchange novel ideas and experiences in working with modern data science to discover knowledge and apply it to numerous fields. JRC 2024 has the potential to disseminate new methods and data-driven approaches, the evaluation of previous findings, and the validation of theoretical approaches, stimulate further investigations regarding the benefits of working with statistics and machine learning methods for industry and increase the awareness of the need to use data science approach in industry. The conference will include three plenary presentations, 18 invited paper sessions, four to six contributed sessions, a poster session, a technical tour, and a one-day short course. More details on the conference can be found on its web page: https://uwaterloo.ca/joint-research-conference-statistics-quality-industry-technology/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.

该项目资助美国学生参加 2024 年质量、工业和技术统计联合研究会议 (JRC 2024)，该会议将于 2024 年 6 月 17 日至 20 日在加拿大安大略省滑铁卢市滑铁卢大学举行。本次会议的组织也是与弗吉尼亚理工大学合作。 JRC 2024是第29届春季工业技术统计研究会议（SRC）和第40届质量与生产力研究会议（QPRC）的联席会议，每四年举办一次。 JRC 2024的主题是“数据科学与统计促进产业创新”。 JRC 2024 旨在汇聚世界各地在质量、技术和工业领域使用统计数据的研究人员和从业者。该会议促进研究人员和从业者之间的交流，以促进和确保新颖见解和方法的发展和广泛使用。 JRC 2024 为参与者提供获取知识并重塑他们对数据科学、统计和机器学习相关主题的观点的机会，从而有可能造福社会。 JRC 2024将倡导数据科学、统计学和机器学习在工业创新中的道德应用和理解，这有利于美国工业的长期竞争力。会议通过在会议网站上分享短期课程讲义、演示幻灯片和海报，提供了一个向更广泛的社区传播知识的平台。 JRC 2024 旨在扩大代表性不足的群体（即女性、少数族裔等）对 STEM 学科的参与。 JRC 2024 重点关注方法论、最佳实践和创新应用方面的最新进展。参加 JRC 2024 有可能增进对数据科学、统计和机器学习相关主题的了解和理解，以及它们如何与工业创新相关。传统上，该会议吸引了著名的统计学家、数据科学家、定量分析师和其他具有高度影响力、方法论和跨学科研究记录的人士。这些人将有机会讨论当前在统计和机器学习方面取得的进展，例如大数据技术、文本建模、生成人工智能在工业创新中的应用，并交流现代数据科学工作中的新颖想法和经验，发现知识并将其应用到众多领域。 JRC 2024 有潜力传播新方法和数据驱动的方法、评估先前的研究结果以及验证理论方法，激发关于使用统计和机器学习方法为行业带来的好处的进一步调查，并提高人们的认识需要在工业中使用数据科学方法。会议将包括三场全体会议、18场特邀论文会议、四到六场贡献会议、一场海报会议、一次技术参观和为期一天的短期课程。有关会议的更多详细信息，请访问其网页：https://uwaterloo.ca/joint-research-conference-statistics-quality-industry-technology/该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。