Collaborative Proposal: International Research and Education: Workshops in Statistics

合作提案：国际研究和教育：统计研讨会

• 批准号: 0634596
• 负责人: Zhiliang Ying
• 金额: $ 3万
• 依托单位: Columbia University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-15 至 2008-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0634596&HistoricalAwards=false
• 关键词: Collaborative; Proposal; International; Research; Education

ABSTRACT OISE-0634639-SHEN, Xiaotong, University of Minnesota-Twin CitiesOISE-0634596-YING, Zhiliang, Columbia University "International Research and Education Workshops in Statistics"This award supports a total of twenty-four U.S. participants, including six post-docs and four graduate students, to attend two distinct, four-day workshops in China over the next two years. The first workshop on machine learning and data mining, will be held in Beijing June 11-14, 2007, and the second, on bioinformatics, will be held in Hangzhou June 9-12, 2008. Each workshop will follow a more widely attended Beijing-Hangzhou International Mathematics Summer School which has been convened by the partner organizations in this proposal for the past three years. The respective U.S. Co-PIs for the workshops are Dr. Xiaotong Shen, Professor of Statistics at the University of Minnesota-Twin Cities, and Professor Zhiliang Ying, Professor of Statistics at Columbia University. The Chinese counterpart organizers respectively are LI, Guying, Professor, Institute of Systems Science, Chinese Academy of Sciences in Beijing, and LIN, Zhengyan, Professor of Mathematics at Zhejiang University in Hangzhou, China. Topics for the first workshop in machine learning and data mining have the potential to lead to significant advances in large margin classification, boosting ensemble methods, sparse and semi-supervised learning clustering, text and data mining. The second workshop on bioinformatics also has strong potential to address fundamental research issues in gene clustering and regulation, micro array in cancer genomics, and signaling. Both workshops present U.S. researchers with a unique opportunity to develop collaborations and gain access to expertise in using recently aggregated, large databases in China. The attendees include notable experts that will greatly benefit U.S. early-career statisticians participating in the workshops.

OISE-0634639-沈晓通，明尼苏达大学双胞胎城市OISE-0634596-英，智良，哥伦比亚大学“国际统计学研究与教育研讨会”该奖项支持总共24名美国参与者，包括6名博士后和4名研究生，在未来两年内在中国参加两个不同的为期4天的研讨会。第一期机器学习和数据挖掘研讨会将于2007年6月11日至14日在北京举行，第二期生物信息学研讨会将于2008年6月9日至12日在杭州举行。每期讲习班都将在参加人数更多的北京-杭州国际数学暑期学校之后举行，该暑期学校是本提案中的伙伴组织在过去三年中举办的。研讨会的美方共同负责人分别是明尼苏达双城大学统计学教授沈晓彤博士和哥伦比亚大学统计学教授应志良教授。中国的对口组织者分别是北京中科院系统科学研究所教授李谷英和杭州浙江大学数学教授林正艳和中国。第一期研讨会的机器学习和数据挖掘主题有可能导致在大差距分类、促进集成方法、稀疏和半监督学习聚类、文本和数据挖掘方面取得重大进展。第二次生物信息学研讨会也有很强的潜力来解决基因聚集和调控、癌症基因组学微阵列和信号转导等基础研究问题。这两个研讨会都为美国研究人员提供了一个独特的机会，可以在使用中国最近聚合的大型数据库方面开展合作并获得专业知识。与会者包括知名专家，这些专家将极大地帮助参加研讨会的美国职业早期统计学家。