International Conference on Design of Experiments 2019

2019年实验设计国际会议

• 批准号: 1903479
• 负责人: Manohar Aggarwal
• 金额: $ 1万
• 依托单位: University of Memphis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-05-01 至 2020-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903479&HistoricalAwards=false
• 关键词: International; Conference; Design; Experiments; 2019

The International Conference on Design of Experiments (ICODOE 2019) will be held at the Department of Mathematical Sciences, University of Memphis, during May 18-21, 2019. The design and analysis of experiments plays a critical role in the process of discovery and improvement in science, medicine, engineering and manufacturing and has enormous impact on the daily lives of just about every person in the United States and throughout the world. The goals of the ICODOE 2019 conference are (a) to encourage and support early career researchers, graduate students, and underrepresented groups (minority and women), and give them the opportunity to form networks for future research interaction, (b) to provide these researchers with state of the art knowledge in the area of experimental design, and (c) to bring outstanding researchers from across the world to present their active research in the field and its various applications. The conference will have a significant impact on the education of junior researchers and will help in the advancement of knowledge and cross fertilization of techniques of experimental designs across disciplines.Rapid developments have taken place in research on design and analysis of experiments, and the conference will have sessions on a wide variety of topics of current importance, including the following issues. (i) Computer Experiments which have an ever growing impact on science, engineering and technology. The complexity of scientific questions emerging from successful interdisciplinary collaborations, make the development, assessment and utilization of complex computer models of critical importance; (ii) The rapid development of science and technology has enabled researchers to generate and collect data with considerable size and complexity in all fields from academia to industry. These data provide remarkable opportunities for discovering new knowledge and insights, yet these opportunities have not yet been fully explored due to the computational burden. A systematic experimental design thinking for large-scale statistical analysis is essential; (iii) With the increasing popularity of social media, designs for online experiments are becoming vitally necessary. Other sessions will include the design of simulation experiments needed in manufacturing, new developments in factorial designs for industry, design of discrete choice experiments for marketing, psychology, and medical studies, adaptive designs for clinical trials, optimal design of dose-finding studies for pharmaceutical research, computational aspects of large-scale optimal experimental designs and Bayesian nonlinear designs, designs for experiments with multiple objectives or multiple stages, and issues of robustness including the interface of design with machine learning. The website for ICODOE 2019 is http://www.memphis.edu/msci/icodoe2019/.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.

实验设计国际会议（ICODOE 2019）将于2019年5月18日至21日在孟菲斯大学数学科学系举行。 实验的设计和分析在科学，医学，工程和制造业的发现和改进过程中起着至关重要的作用，并对美国和世界各地几乎每个人的日常生活产生巨大影响。 ICODOE 2019会议的目标是（a）鼓励和支持早期职业研究人员，研究生和代表性不足的群体（少数民族和妇女），并让他们有机会形成网络，以促进未来的研究互动，（B）为这些研究人员提供实验设计领域的最新知识，以及（c）邀请世界各地的杰出研究人员介绍他们在该领域的积极研究及其各种应用。 会议将对初级研究人员的教育产生重大影响，并将有助于知识的进步和跨学科的实验设计技术的交叉施肥。在实验设计和分析的研究方面取得了迅速的发展，会议将就当前重要的各种主题举行会议，包括以下问题。(i)计算机实验对科学，工程和技术的影响越来越大。成功的跨学科合作所产生的科学问题的复杂性，使得开发、评估和利用复杂的计算机模型至关重要; ㈡科学和技术的迅速发展使研究人员能够在从学术界到工业界的所有领域生成和收集相当大规模和复杂的数据。这些数据为发现新知识和见解提供了巨大的机会，但由于计算负担，这些机会尚未得到充分探索。大规模统计分析的系统性实验设计思维是必不可少的;（iii）随着社交媒体的日益普及，在线实验的设计变得至关重要。 其他会议将包括制造所需的模拟实验设计，工业析因设计的新发展，市场营销，心理学和医学研究的离散选择实验设计，临床试验的自适应设计，药物研究的剂量探索研究的最佳设计，大规模最佳实验设计和贝叶斯非线性设计的计算方面，多目标或多阶段的实验设计，以及鲁棒性问题，包括设计与机器学习的接口。 ICODOE 2019的网站是http://www.memphis.edu/msci/icodoe2019/.This奖项反映了NSF的法定使命，并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，被认为值得支持。