2016 Web Archiving Data Workshops: Travel Support for U.S. Students

2016 年网络存档数据研讨会：为美国学生提供旅行支持

• 批准号: 1624067
• 负责人: Matthew Weber
• 金额: $ 2.99万
• 依托单位: Rutgers University New Brunswick
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2016
• 资助国家: 美国
• 起止时间: 2016-02-01 至 2017-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1624067&HistoricalAwards=false
• 关键词: 2016; Web; Archiving; Data; Workshops

In recent years, significant focus has turned to archival data sources in the Big Data and computational social science research communities. The scale of archived Web data is unprecedented in terms of scope and scale, creating major challenges for scholars. The 2016 Web Archiving workshop series provides a premier venue for engaging with Web archives, and for learning the skills necessary to utilize archived Web data for knowledge discovery. This award will support travel of Ph.D. students at U.S. universities who have submitted research proposals that have been accepted as part of the workshop series. Participants in this workshop series will gain critical skills necessary for developing cutting edge research agendas. Training provided to Ph.D. students will help to prepare the next generation of Big Data scholars. The workshop series will consist of two events; the first workshop will be held at the University of Toronto from March 3 - 5, 2016, and the second workshop will be held at the Library of Congress in Washington DC from June 15 - 17. The workshop co-chairs are Matthew Weber (Rutgers University), Jimmy Lin (University of Waterloo) and Ian Milligan (University of Waterloo). The workshop series builds on prior research agendas established across disciplines for working with archived Web data. Specifically, this work responds to ongoing calls in computational social science for improved access to archived Web data. Workshop attendees will further be asked to engage with a variety of topics of societal importance. The products of the workshop focus on integrating scholarship in computer science with the social sciences and demonstrating the potential of interdisciplinary Big Data scholarship. For further information see the workshop homepage (http://archivesunleashed.ca).

近年来，大数据和计算社会科学研究社区的重点已经转向档案数据源。存档的Web数据的规模在范围和规模方面都是前所未有的，这给学者们带来了重大挑战。2016年Web归档研讨会系列为参与Web归档和学习利用归档Web数据进行知识发现所需的技能提供了一个首要场所。该奖项将支持博士的旅行。美国大学的学生，他们提交的研究提案已被接受为研讨会系列的一部分。在这个系列研讨会的参与者将获得必要的发展前沿研究议程的关键技能。为博士提供培训学生将帮助准备下一代大数据学者。研讨会系列将包括两个活动;第一个研讨会将于2016年3月3日至5日在多伦多大学举行，第二个研讨会将于6月15日至17日在华盛顿国会图书馆举行。研讨会的共同主席是Matthew Weber（罗格斯大学），Jimmy Lin（滑铁卢大学）和Ian Milligan（滑铁卢大学）。研讨会系列建立在以前的研究议程建立跨学科的工作与存档的Web数据。具体来说，这项工作响应不断呼吁在计算社会科学，以改善访问存档的Web数据。研讨会的与会者将进一步被要求参与各种社会重要性的主题。该研讨会的产品侧重于将计算机科学的学术与社会科学相结合，并展示跨学科大数据学术的潜力。欲了解更多信息，请访问研讨会主页（http：archivesunleashed.ca）。