Conference: Design and Analysis of Experiments 2024

2024年实验设计与分析大会(DAE 2024)将于2024年5月15日至17日在弗吉尼亚州布莱克斯堡的弗吉尼亚理工大学校园举行。它将把来自全美和其他地方以及学术界和产业界的研究人员聚集在一起，专注于推进实验的统计技术，从而增强知识发现的能力。它将提供一个论坛，用于互动、讨论和交流关于设计有效实验的新颖研究的想法，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、传染病动力学、网络安全和制造业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将强调年轻研究人员和少数群体的纳入和指导，这样做将成为实验设计技术方面下一代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，还是在任何广泛的人类活动中，在这些活动中，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，在传统和新兴的应用领域，实验设计和分析研究正在迅速发展。随着新的应用领域的出现，相应的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的技术会议将包括顶尖专家讲解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；正交表和相关设计；因果推理和实验设计；运输中的设计挑战等。其他特色将包括圆桌讨论、初级研究人员辅导会议和海报会议，强调除技术会议所涵盖的进展之外的进展。有关会议的更多细节可以在https://sites.google.com/view/dae2024/dae-2024.This上找到，该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。

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.