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

该奖项支持初级研究人员参加 2014 年 10 月 10 日至 12 日在北卡罗来纳大学格林斯伯勒分校举行的国际会议“跨学科统计和组合学的进展”。该会议汇集了来自其他学科的统计学家和研究人员，讨论统计技术在人类学、生物学、计算机科学、经济学、教育、教育研究方法、环境等多个学科的研究项目中的使用。 科学、信息系统、医学、心理学和公共卫生。主要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博弈论。除了这两个研讨会之外，会议还包括各种主题的会议，重点介绍统计方法在其他学科中的使用。 数学生物学和博弈论研讨会的主要目标是向本科生和研究生介绍数学建模，数学建模是应用数学（尤其是数学生物学）任何研究的重要组成部分。该研讨会的重点是博弈论模型，该模型用于多个实体彼此交互（直接或间接）以及每个实体按照自己的利益行事（可能与其他实体的利益发生冲突）的情况。 大数据和机器学习研讨会专为研究生设计，将为学术界和工业界的研究人员提供一个论坛，以交流信息并在大数据和机器学习领域开发新的研究方向，重点关注可扩展性、可靠性和安全性。这些研讨会将有助于促进下一代研究人员研究统计科学中一些最重要的当代主题。 该会议还为来自代表性不足群体的学生提供了参加高调会议的机会，以拓宽他们在数学科学研究方面的视野并推进他们的职业目标。更多详情请访问会议网站http://www.uncg.edu/mat/aisc/2014/index.html