BCC-SBE: PI-NET: Poli-Informatics Research Coordination Network

BCC-SBE：PI-NET：政治信息学研究协调网络

基本信息

批准号：
1243917
负责人：
John Wilkerson
金额：
$ 49.84万
依托单位：
University of Washington
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-15 至 2018-08-31
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1243917&HistoricalAwards=false
关键词：
BCC SBE PI NET Poli

项目摘要

This Research Collaborative Network (RCN) advances the new interdisciplinary field of PoliInformatics. PoliInformatics brings informatics to political research by promoting the analysis of very large and unstructured government datasets. The central objective of the RCN is to encourage scholars representing diverse disciplines such as computer science, information science, electrical engineering, statistics and computational linguistics to collaborate and apply their skills to the analysis of U.S. government activity. Over a three year period, the RCN will establish a new interdisciplinary scholarly network; conduct research competitions and workshops; train the next generation of PoliInformatics researchers; and produce a compendium of papers demonstrating the importance of this new field.Large government data sets inspire previously unimagined research questions, analytic methods, and technology tools. The RCN will lead to valuable innovations in how government activities such as lawmaking, budgeting and policy implementation are studied and understood. It will encourage highly capable scholars possessing diverse research perspectives to focus their attention on important technical and substantive challenges presented by rapidly expanding repositories of government data. The infrastructure that these researchers develop to address these challenges will then be available for use by others--students, journalists, interest groups, and citizens. Thus a critically important broader impact of the RCN will be to foster improved public understanding of the roles and activities of the U.S. government.

该研究合作网络（RCN）推动了政治信息学这一新的跨学科领域的发展。 PoliInformatics 通过促进对非常大的非结构化政府数据集的分析，将信息学引入政治研究。 RCN 的核心目标是鼓励代表计算机科学、信息科学、电气工程、统计学和计算语言学等不同学科的学者进行合作，并将他们的技能应用于分析美国政府活动。 RCN 将在三年内建立一个新的跨学科学术网络；举办研究竞赛和研讨会；培训下一代政治信息学研究人员；并编写一份论文纲要，展示这一新领域的重要性。大型政府数据集激发了以前无法想象的研究问题、分析方法和技术工具。 RCN 将在研究和理解立法、预算和政策实施等政府活动方面带来有价值的创新。它将鼓励拥有不同研究视角的高素质学者将注意力集中在快速扩大的政府数据存储库带来的重要技术和实质性挑战上。这些研究人员为应对这些挑战而开发的基础设施将可供其他人（学生、记者、利益团体和公民）使用。因此，RCN 至关重要的更广泛影响将是促进公众更好地了解美国政府的角色和活动。