New Computer Science Applications in Automated Text Identification and Classification for the Social Sciences

计算机和信息科学界正在开发的新的基于文本的数据资源和工具为新的社会科学应用提供了许多可能性。学者们可以预见，系统数据将比以前更具一致性、灵活性、覆盖面和信息深度。然而，新技术从计算机科学向社会科学领域的传播一直很缓慢。社会科学应用为计算机科学家提供了重要的理论挑战，因为政治学家、社会学家和其他人感兴趣的特定变量不同于其他领域。近年来，社会科学家一直在快速开发大型数据库。目前已建立的大型人类编码数据库为我们开发和校准新的基于计算机的数据开发工具提供了重要手段。因此，这些知识界之间更紧密的合作可能会在这两个领域带来重要的理论和基础设施进步。这个研讨会汇集了顶尖的计算机科学家、政治学家和社会学家，他们在创建大规模数据库方面拥有丰富的经验。社会科学家将有机会了解与其需求相关的最新计算机科学研究，计算机科学家将了解与公共政策、社会运动和立法活动的历史研究相关的特殊问题。

New text-based data resources and tools being developed within the computer and information science communities provide many possibilities for new social science applications. Scholars can envision systematic data of greater consistency, flexibility, coverage, and depth of information than previously possible. However, the diffusion of new techniques from the computer science to the social science community has been slow. Social science applications offer important theoretical challenges to computer scientists as the specific variables of interest to political scientists, sociologists, and others differ from other fields. Social scientists have been developing large databases at a rapid pace in recent years. The large established human-coded databases now in existence provide important means by which we can develop and calibrate new computer-based data development tools. Tighter collaborations across these intellectual communities may thus lead to important theoretical and infrastructure advance in both areas. This workshop brings together leading computer scientists with political scientists and sociologists with extensive experience in creating large-scale databases. Social scientists will have the opportunity to learn of the latest computer science research relevant to their needs and the computer scientists will learn of the special problems associated with historical research on public policy, social movements, and legislative activities.