Advances in Interdisciplinary Statistics and Combinatorics, October 10-12, 2014

跨学科统计和组合学进展，2014 年 10 月 10-12 日

• 批准号: 1417056
• 负责人: Sat Gupta
• 金额: $ 1万
• 依托单位: University of North Carolina Greensboro
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-06-01 至 2015-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1417056&HistoricalAwards=false
• 关键词: Advances; Interdisciplinary; Statistics; Combinatorics; October

This award supports the participation of junior researchers in the international conference "Advances in Interdisciplinary Statistics and Combinatorics," held at The University of North Carolina at Greensboro on October 10-12, 2014. The conference brings together statisticians and researchers from other disciplines to discuss the use of statistical techniques in research programs in a variety of disciplines including anthropology, biology, computer science, economics, education, education research methodology, environmental science, information systems, medicine, psychology, and public health. A major emphasis is on training young researchers through two workshops, one on Big Data and Machine Learning, and the other on Mathematical Biology and Game Theory. In addition to these two workshops, the conference includes a variety of sessions on topics that highlight the use of statistical methods in other disciplines. The main goal of the workshop on Mathematical Biology and Game Theory is to introduce undergraduates and graduate students to the mathematical modeling that is an essential part of any research in applied mathematics, mathematical biology in particular. The workshop focuses on game theoretical models that are used for situations where several entities interact (directly or indirectly) with one another and where each entity acts in its own interest (potentially in conflict with the interests of others). The workshop on Big Data and Machine Learning, designed for graduate students, will provide a forum for researchers from academia and industry to exchange information and develop new research directions in areas of big data and machine learning focusing on scalability, reliability, and security. These workshops will help to advance the next generation of researchers on some of the most important contemporary topics in statistical science. The meeting also offers an opportunity to students from underrepresented groups to be part of a high profile conference to broaden their vision of research in mathematical sciences and advance their career goals. More details are available at the conference website http://www.uncg.edu/mat/aisc/2014/index.html

This award supports the participation of junior researchers in the international conference "Advances in Interdisciplinary Statistics and Combinatorics," held at The University of North Carolina at Greensboro on October 10-12, 2014. The conference brings together statisticians and researchers from other disciplines to discuss the use of statistical techniques in research programs in a variety of disciplines including anthropology, biology, computer science, economics, education, education research methodology, environmental科学，信息系统，医学，心理学和公共卫生。一个重点是通过两个研讨会培训年轻研究人员，一个关于大数据和机器学习，另一个关于数学生物学和游戏理论。除了这两个研讨会外，会议还包括各种主题会议，这些会议突出了其他学科中统计方法的使用。 关于数学生物学和游戏理论研讨会的主要目标是将大学生和研究生介绍给数学建模，这是应用数学研究的任何研究的重要组成部分，尤其是数学生物学。研讨会着眼于游戏理论模型，这些模型用于几个实体相互作用（直接或间接）彼此相互作用，并且每个实体都符合其自身利益（可能与他人的利益相抵触）。 专为研究生设计的大数据和机器学习研讨会将为来自学术界和行业的研究人员提供一个论坛，以交换信息并在大数据和机器学习领域开发新的研究方向，重点是可扩展性，可靠性和安全性。这些研讨会将有助于推进下一代研究人员在统计科学中一些最重要的当代主题上。 这次会议还为来自代表性不足的团体的学生提供了一个机会，成为了一个知名会议的一部分，以扩大他们对数学科学研究的愿景并促进他们的职业目标。会议网站http://www.uncg.edu/mat/aisc/2014/index.html可以找到更多详细信息