Conference: Design and Analysis of Experiments 2024

2024年实验设计与分析会议（DAE 2024）将于2024年5月15日至17日在弗吉尼亚理工大学布莱克斯堡校区举行。它将汇集来自美国各地及其他地区的研究人员，以及来自学术界和工业界的研究人员，专注于推进增强知识发现能力的实验统计技术。它将提供一个论坛，用于互动，讨论和交流新研究的想法，以设计有效的实验，并分析它们产生的数据。会议的目的是提高自动驾驶、药物开发、环境监测、传染病动态、网络安全和制造等广泛领域的数据收集效率，从而加快所有这些领域的创新步伐。DAE 2024将强调对年轻研究人员和少数民族的包容和指导，这样做将成为下一代实验设计技术统计专家发展的一个齿轮。设计的实验和相应的分析技术是科学发现过程中不可或缺的一部分，无论是在工程，医学，商业，制造业，或者实际上在任何广泛的人类活动中，持续的知识获取是进步和成功的必要条件。在这些需求的推动下，实验设计和分析研究在传统和新兴应用领域都在迅速发展。随着新的应用领域的出现，相应地，新的计算工具正在为复杂问题中的数据收集开发更好的设计。DAE 2024的技术会议将包括领先的专家解决覆盖阵列和组合测试;在线实验;顺序设计，主动学习和贝叶斯优化;不确定性量化中的设计问题;正交阵列和相关设计;因果推理和实验设计;运输中的设计挑战;等等。其他功能将包括圆桌讨论，初级研究人员的辅导会议，以及海报会议，突出除了技术会议中所涵盖的进展。 有关会议的进一步细节可以在www.example.com上找到https://sites.google.com/view/dae2024/dae-2024.This奖项反映了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。

The Design and Analysis of Experiments Conference 2024 (DAE 2024) will meet May 15-17, 2024 on the campus of Virginia Tech in Blacksburg, VA. It will bring together researchers from across the United States and beyond, and from both academia and industry, to focus on advancing the statistical techniques for experimentation that empower knowledge discovery. It will provide a forum for interaction, discussion, and exchange of ideas on novel research for designing effective experiments, and for analyzing the data that they produce. The aim of the conference is to increase the efficacy of data collection in areas as wide-ranging as autonomous driving, drug development, environmental monitoring, infectious disease dynamics, cybersecurity, and manufacturing, among many others, and so accelerate the pace of innovation in all of these domains. DAE 2024 will emphasize inclusion and mentoring of young researchers and minorities, and in so doing will be a cog in the development of the next generation of statistical experts in the techniques of experimental design.Designed experimentation and the corresponding techniques for analysis are integral to the process of scientific discovery, be it in engineering, medicine, commerce, manufacturing, or indeed in any of the vast range of human activities where continuing knowledge acquisition is a requirement for advancement and success. Driven by these needs, developments are rapidly taking place in experimental design and analysis research, in both traditional and emerging areas of applications. As new areas of application arise, correspondingly new computational tools are enabling the development of better designs for data collection in complex problems. Technical sessions of DAE 2024 will include leading experts addressing Covering Arrays and Combinatorial Testing; Online Experimentation; Sequential Design, Active Learning, and Bayesian Optimization; Design Issues in Uncertainty Quantification; Orthogonal Arrays and Related Designs; Causal Inference and Experimental Design; Design Challenges in Transportation; and more. Additional features will include roundtable discussions, mentoring sessions for junior researchers, and poster sessions highlighting advancements in addition to those covered in the technical sessions. Further details about the conference may be found at https://sites.google.com/view/dae2024/dae-2024.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.