Data Development for International Research: Event-Data Collection and Software

国际研究数据开发：事件数据收集和软件

• 批准号: 9025130
• 负责人: Dina Zinnes
• 金额: $ 35.1万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 1991
• 资助国家: 美国
• 起止时间: 1991-05-01 至 1994-10-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=9025130&HistoricalAwards=false
• 关键词: Data; Development; International; Research; Event

The subfield of International Relations has seen a proliferation of exciting new theories over the past twenty years. Important theories have been advanced to account for the onset and diffusion of war among both superpowers and smaller states, the dynamics of international arms races, the structure and operation of the international economy including trade flows and international development, and the causes of internal violence including revolutions, rebellions, coups d'etat, and assassination to cite only a few of the fronts on which social science theory has been advanced. Although considerable energy also has been devoted to efforts to test these theories empirically, the absence of an extensive body of reliable time- series data on international events has impeded progress. This award supports continuation of a long term project -- Data Development in International Research (DDIR) -- to maintain, extend and improve the quality of major databanks for the study and analysis of cross-national and international political events. The first stage of DDIR filled in and updated major international data sets. This second stage will continue to update the collections while establishing a more permanent base for future data collection efforts. Specifically, the project has two principal thrusts: 1) to update and extend the four main event datasets, COPDAB, WEIS, BCOW, and SHERFACS, and 2) to develop the computer technology that will simplify data collection efforts and reduce their costs to levels that do not require continuing federal support. When completed this project will provide a much larger, more complete, and more reliable set of data with which to test and refine existing theories in international and cross-national politics.

在过去的二十年中，国际关系的子领域引起了令人兴奋的新理论的泛滥。 已经提出了重要的理论，以说明超级大国和较小国家之间战争的发作和扩散，国际军备竞赛的动态，国际经济的结构和运作，包括贸易流和国际发展，以及内部暴力的原因，包括革命，叛乱，政变，d'ETAT以及暗示的较少的社会科学理论仅在社会科学理论上引起了较少的局面。 尽管大量精力也致力于从经验上努力检验这些理论，但缺乏广泛的有关国际事件的可靠时间序列数据妨碍了进步。 该奖项支持一个长期项目 - 国际研究中的数据开发（DDIR） - 以维护，扩展和提高主要数据库的质量，以进行研究和分析跨国和国际政治事件。 DDIR的第一阶段填写并更新了主要的国际数据集。 第二阶段将继续更新收藏，同时为未来的数据收集工作建立更永久的基础。 具体而言，该项目有两个主要的推力：1）更新和扩展四个主要事件数据集，Copdab，Weis，Bcow和Sherfacs，以及2）开发计算机技术，以简化数据收集工作，并将其成本降低到不需要持续联邦支持的水平。 完成后，该项目将提供更大，更完整，更可靠的数据集，以测试和完善国际和跨国政治中的现有理论。