课题基金 / 基金详情

A Database and Analysis of Intergroup Hostility

A Database and Analysis of Intergroup Hostility
群体间敌意的数据库和分析
批准号:
1756369
负责人:
John McCarthy
金额:
$25.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-04-15 至 2022-03-31

项目摘要

项目成果

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中文摘要
翻译
该项目旨在通过建立一个全面的数据库,并通过使用该数据库检验理论上得出的假设,促进对群体间冲突的了解。 该数据库将涵盖1990-2017年,并将避免早期数据收集的一些局限性,因为早期数据收集依赖官方估计,而官方估计往往低估了敌对事件的发生频率。分析将调查社区背景对群体间冲突发生的可能性以及敌对对受攻击群体的影响。该数据库将向公众和决策者开放。分析结果将有助于政策制定者、面临敌意的群体以及其他寻求减少美国社区群体间敌意的相关方。将使用多种来源和策略来创建敌意事件和这些事件发生的社区的数据库。有关这些事件的信息将从报纸、联邦调查局的统计数据和独立团体中挑选出来,并将根据特征、地点、时间和媒体报道进行编码。这一数据将得到有关活动地点的地理信息系统数据和有关群体的调查数据的补充。空间和纵向数据库将允许测试若干预测,例如,关于群体集中的影响和积极宣传活动的影响。这些预测将通过适当的统计方法进行测试,结果将为有关群体间关系、公民社会和集体行动的理论提供信息。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project aims to advance understanding of intergroup conflict through assembly of a comprehensive database and through tests of theoretically derived hypotheses using that database. The database will cover the years 1990-2017 and will avoid some of the limitations of earlier data collections, which relied on official estimates that often underestimated the frequencies of hostile events. The analysis will investigate the effect of community context on how likely intergroup conflict is to occur as well as the effect of hostility on the groups under attack. The database will be available to the public and policymakers. Findings from the analysis will be useful to policymakers, groups facing hostility, and other concerned parties seeking to reduce intergroup hostility in American communities.Multiple sources and strategies will be used to create the database of hostile events and the communities where these events occurred. Information on the events will be culled from newspapers, FBI statistics, and independent groups and will be coded for characteristics, location, time, and media coverage. This data will be supplemented with GIS data on the event location and survey data on the relevant groups. The spatial and longitudinal database will allow testing of several predictions, for example, concerning the effects of group concentrations and effects of positive advocacy events. These predictions will be tested with appropriate statistical methods and the results will inform theories concerning intergroup relations, civil society and collective action.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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