Design and Analysis of Experiments

实验设计与分析大会(DAE 2017)将于2017年10月12日至14日在加州大学洛杉矶分校举行。会议的目标是汇聚国际知名的顶尖研究人员、研究生和来自行业和政府的研究人员，并提供一个在实验设计和分析方面进行互动、讨论和交流新研究想法的论坛。资金将用于支持学生和初级研究人员参加会议。大会将广泛公布，并将专门联系选定的个人和组织，以拓宽与会者的多样性。特别值得注意的是，参加早期DAE会议的初级研究人员继续高度评价他们从DAE获得的指导和资金对他们职业生涯的影响。他们中的许多人后来在实验设计的理论和应用的发展中做出了重大贡献，包括一些获得过NSF职业生涯奖的人和几个现在该领域公认的研究人员。会议主办方完全相信，DAE 2017将延续往年的传统，对培养实验设计和分析方面的年轻研究人员产生重大影响。组织者将通过事先仔细配对高级和初级参与者来计划指导活动，为学生和初级研究人员提供一些资金，并继续认真努力扩大代表不足的群体的参与。实验的设计和分析在科学过程中是不可或缺的，因为它们构成了几乎所有科学学科中发现过程的组成部分。目前的大数据时代为实验设计和分析带来了非常令人兴奋的新研究领域。DAE 2017是及时的，将有助于推进尖端研究想法，以应对具有挑战性的新问题。DAE 2017的主题包括互联网实验、大数据设计、计算机实验、不确定性量化、制药行业的优化设计、实验设计中的计算方法、应用设计性研究解决工业和工程问题，以及非正态数据设计。欲了解更多信息，请访问会议网站：http://www.stat.ucla.edu/~hqxu/dae2017/。

The Design and Analysis of Experiments Conference (DAE 2017) will be held at UCLA on October 12-14, 2017. The goal of the conference is to bring together leading researchers of international repute, graduate students and researchers from industry and government, and provide a forum for interaction, discussion, and exchange novel research ideas in design and analysis of experiments. Funds will be used to support students and junior researchers to attend the conference. The conference will be widely announced and selected individuals and organizations will be specially contacted to broaden the diversity of the participants. Of particular note is that junior researchers who participated in earlier DAE conferences continue to speak very highly of the impact of mentorship and funding they had received from DAEs has had on their careers. Many of them have gone on to make significant contributions in the development of the theory and applications of experimental design, including a few who have received NSF career awards and several more who are now recognizable researchers in the field. Organizers of the conference have full confidence that DAE 2017 will follow the tradition in the previous years and have a significant impact on nurturing young researchers in design and analysis of experiments. Organizers will plan for mentoring activities by carefully pairing senior and junior participants in advance, provide some funding for the students and junior researchers and continue to make a serious effort to broaden participation by under-represented groups. Design and analysis of experiments are indispensable in the scientific process as they form an integral part of the discovery process in virtually all scientific disciplines. The present era of big data has brought very exciting and new areas of research for design and analysis of experiments. DAE 2017 is timely and will help advance cutting edge research ideas to tackle challenging emerging issues. Themes of DAE 2017 include internet experiments, designs for big data, computer experiments, uncertainty quantification, optimal designs in the pharmaceutical industry, computational methods in design of experiments, applications of designed studies to solve industrial and engineering problems, and designs for non-normal data. Additional information is available at the conference web site: http://www.stat.ucla.edu/~hqxu/dae2017/