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

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年)，该会议将于2024年6月17日至20日在加拿大滑铁卢大学举行。这次会议的组织者也是弗吉尼亚理工大学的合作伙伴。JRC 2024是第29届工业技术统计春季研究会议(SRC)和第40届质量与生产率研究会议(QPRC)的联席会议，每四年举行一次。JRC 2024的主题是“数据科学和统计促进产业创新”。JRC 2024旨在将世界各地在质量、技术和工业背景下使用统计数据的研究人员和从业者聚集在一起。会议促进了研究人员和实践者之间的交流，以支持和确保开发和广泛使用新的见解和方法。JRC 2024有可能造福社会，因为它为参与者提供了获取知识的机会，并重塑了他们对数据科学、统计和机器学习相关主题的看法。JRC 2024将倡导对数据科学、统计学和机器学习的伦理应用和理解，以促进工业创新，这有利于美国工业的长期竞争力。会议通过在会议网站上共享短期课程讲稿、演示幻灯片和海报，为更广泛的社区提供了一个传播知识的平台。JRC 2024旨在扩大代表性不足群体(即妇女、种族/族裔少数群体等)的参与。在STEM学科中。JRC 2024侧重于在方法、最佳实践和创新应用方面的最新进展。参加JRC 2024有可能增进对与数据科学、统计和机器学习相关的主题的知识和理解，以及它们如何与产业创新相关。传统上，这次会议吸引了杰出的统计学家、数据科学家、定量分析师和其他在极具影响力、方法论和跨学科研究方面有良好记录的人参加。这些人将有机会讨论目前在统计和机器学习方面取得的进展，如大数据技术、文本建模、产生式人工智能在工业创新中的使用，并交流与现代数据科学合作发现知识并将其应用于众多领域的新想法和经验。JRC 2024有可能传播新的方法和数据驱动的方法，对以前的研究结果进行评估，并验证理论方法，促进对工业使用统计和机器学习方法的益处的进一步调查，并提高对在工业中使用数据科学方法的必要性的认识。会议将包括三次全体报告，18次特邀论文会议，四至六次发言，一次海报会议，一次技术参观，以及一天的短期课程。有关会议的更多细节可在其网页上找到：https://uwaterloo.ca/joint-research-conference-statistics-quality-industry-technology/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。

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.