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

该奖项支持初级研究人员参加于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“跨学科统计和组合数学进展”国际会议。这次会议汇集了来自其他学科的统计学家和研究人员，讨论在不同学科的研究项目中使用统计技术，这些学科包括人类学、生物学、计算机科学、经济学、教育学、教育研究方法论、环境科学、信息系统、医学、心理学和公共卫生。一个主要的重点是通过两个研讨会培训年轻的研究人员，一个是关于大数据和机器学习的，另一个是关于数学生物学和博弈论的。除了这两个讲习班外，会议还包括各种主题的会议，突出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，这是任何应用数学研究的重要组成部分，特别是数学生物学。研讨会的重点是博弈论模型，这些模型用于几个实体(直接或间接)相互作用的情况，以及每个实体为了自己的利益(可能与其他实体的利益发生冲突)而采取行动的情况。大数据和机器学习研讨会是为研究生设计的，将为学术界和工业界的研究人员提供一个论坛，交流信息，并在大数据和机器学习领域开发新的研究方向，重点是可扩展性、可靠性和安全性。这些讲习班将有助于推动下一代研究人员在统计科学中一些当代最重要的主题上取得进展。会议还为来自代表性不足群体的学生提供了参加一个备受瞩目的会议的机会，该会议旨在拓宽他们在数学科学方面的研究视野，推进他们的职业目标。欲了解更多详情，请访问会议网站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 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