First Interdisciplinary Symposium on Statistical Challenges and Opportunities in Electronic Commerce Research; May 22-23, 2005; College Park, MD

首届电子商务研究统计挑战与机遇跨学科研讨会；

• 批准号: 0508712
• 负责人: Wolfgang Jank
• 金额: $ 3万
• 依托单位: University of Maryland, College Park
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2005
• 资助国家: 美国
• 起止时间: 2005-05-01 至 2006-04-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0508712&HistoricalAwards=false
• 关键词: First; Interdisciplinary; Symposium; Statistical; Challenges

This award supports a symposium that will extend knowledge on the computational and methodological challenges related to the collection and analysis of vast amounts of data originating from eCommerce transactions. For example, eBay, the largest and most well known online auction, hosts several million auctions a year. Researchers can access these data using web-data collection technologies, such as web spiders. Standard statistical tools are designed for data of much smaller size and often do not scale up. Traditional statistical models also do not take into account the dynamics and concurrency of events happening in a marketplace as large as the Internet. Thus, it is critical at this juncture to bring together Information Systems researchers who study eCommerce with statistical researchers who are producing new models and methods for large-scale data computations. The goal of this symposium is to contribute to the modernization and enhancement of empirical research methods for eCommerce and the digital society at large.

该奖项支持一个研讨会，该研讨会将扩展与收集和分析源自电子商务交易的大量数据相关的计算和方法挑战的知识。例如，最大和最知名的在线拍卖公司eBay每年举办数百万次拍卖。研究人员可以使用网络数据收集技术（如网络蜘蛛）访问这些数据。标准统计工具是为小得多的数据设计的，通常不会按比例扩大。传统的统计模型也没有考虑到像互联网这样大的市场中发生的事件的动态性和并发性。因此，在这个关键时刻，将研究电子商务的信息系统研究人员与正在为大规模数据计算产生新模型和方法的统计研究人员聚集在一起至关重要。本次研讨会的目标是为电子商务和整个数字社会的实证研究方法的现代化和增强做出贡献。