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

该奖项支持一个研讨会，该研讨会将扩展与收集和分析来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，规模最大、最知名的在线拍卖网站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，通常不能按比例扩大。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为大规模数据计算提供新模型和方法的统计研究人员聚集在一起是至关重要的。本次研讨会的目的是促进电子商务和整个数字社会的实证研究方法的现代化和加强。

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.