Doctoral Dissertation Research: Sectarianism Without Borders: Big Data and Experimental Analyses of Transnational Sunni-Shia Conflict
博士论文研究:宗派主义无国界:逊尼派与什叶派跨国冲突的大数据与实验分析
基本信息
- 批准号:1647450
- 负责人:
- 金额:$ 2.36万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-04-15 至 2019-03-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
General AbstractSectarian violence in the Middle East and Arab World have increased to their highest levels since the Iran-Iraq war in the 1980s. Violent conflict between Sunni and Shia sects can be found in a number of countries throughout the Middle East. While a large volume of qualitative literature address such this topic, we lack rigorous quantitative studies into the factors that lead to such violence, along with factors that serve to escalate or mitigate sectarian tensions in the region. Relatedly, scholars know little about the effects of heightened Sunni-Shia hostility on citizens' political attitudes and behaviors in the affected regions. Drawing on research in political science and social psychology, the PI will conduct an empirical examination of the causes and consequences of sectarian animosity in the Arab World, paying particular attention to those factors that may lead to reductions in the levels of violence. To gain a deeper understanding of the causes of sectarian conflict, the investigator utilizes a unique data set comprised of Twitter and Google Trends data, real-time event data, public opinion polls, as well as results from a lab experiment. Substantively, this project will offer empirical insights into the dynamics of a precarious source of conflict and violent extremism, with key ramifications both for regional stability and global security.Technical AbstractTo examine the causes of sectarian tensions, the PI will use Twitter and event data to explore how exogenous violent events lead to the escalation in sectarian hostility, and the role political and religious elites play in this process. The PI proposes to administer a series of household survey, timed to coincide with Shia religious holidays to assess the causal effect of elevated sectarian tensions on attitudes toward democracy, authoritarianism, and extremism. Additionally, the PI will utilize an experimental design to test the degree to which emphasizing common threats and experiences of victimization might serve to reduce outgroup prejudice among Sunni and Shia Muslims in two ways. First, by conducting the experiment on a sample comprised of students, and secondly, through the use of a Twitter experiment. By adopting innovative methodological approaches that build upon and help reconcile existing theories of intergroup relations, this project makes important contributions to both political science and social psychology. Furthermore, by helping to identify causes and consequence of sectarian hostility, and by providing empirically validated approaches to combat such tensions, this work is poised to provide valuable insights to policy makers and academics alike.
中东和阿拉伯世界的教派暴力活动已上升到20世纪80年代两伊战争以来的最高水平。 逊尼派和什叶派之间的暴力冲突可以在整个中东的一些国家找到。虽然有大量定性文献论述这一主题,但我们缺乏对导致这种暴力的因素以及沿着有助于加剧或缓解该区域宗派紧张局势的因素进行严格的定量研究。 与此相关的是,学者们对逊尼派-什叶派敌意加剧对受影响地区公民政治态度和行为的影响知之甚少。利用政治学和社会心理学的研究成果,PI将对阿拉伯世界宗派仇恨的原因和后果进行实证研究,特别关注可能导致暴力水平下降的因素。 为了更深入地了解教派冲突的原因,研究人员利用了一个独特的数据集,包括Twitter和Google趋势数据、实时事件数据、民意调查以及实验室实验的结果。 实质上,该项目将提供经验性的见解,以动态的不稳定的冲突和暴力极端主义的来源,与区域稳定和全球安全的关键分支。技术摘要为了研究教派紧张局势的原因,PI将使用Twitter和事件数据来探索如何外源性暴力事件导致教派敌对的升级,以及政治和宗教精英在这一过程中发挥的作用。PI建议在什叶派宗教节日期间进行一系列家庭调查,以评估宗派紧张局势加剧对民主、威权主义和极端主义态度的因果影响。 此外,PI将利用实验设计来测试强调共同的威胁和受害经历可能有助于减少逊尼派和什叶派穆斯林之间的外群偏见在两个方面的程度。 首先,通过对由学生组成的样本进行实验,其次,通过使用Twitter实验。通过采用创新的方法论方法,建立在现有的群体间关系理论的基础上,并帮助调和这些理论,该项目对政治科学和社会心理学做出了重要贡献。 此外,通过帮助确定教派敌对的原因和后果,并提供经验验证的方法来应对这种紧张局势,这项工作准备为政策制定者和学者提供宝贵的见解。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Joshua Tucker其他文献
Safety and Diagnostic Yield of Percutaneous Urinary Bladder Tumor Biopsy
- DOI:
10.1007/s00261-025-05139-9 - 发表时间:
2025-07-28 - 期刊:
- 影响因子:2.200
- 作者:
Joshua Tucker;Vidit Sharma;Matthew Johnson;Rebecca Hibbert;Jamie Kapplinger;Michael Moynagh;Daniel Adamo;John Schmitz;Ahmad Parvinian - 通讯作者:
Ahmad Parvinian
Manufacturing Autoclave-Grade Thermoset Carbon Fiber-Reinforced Polymer Aerospace Composites without an Autoclave Using Nanoporous Materials.
使用纳米多孔材料无需高压釜即可制造高压釜级热固性碳纤维增强聚合物航空航天复合材料。
- DOI:
- 发表时间:
2024 - 期刊:
- 影响因子:9.5
- 作者:
C. Li;Travis J. Hank;E. Kalfon;C. Furtado;Jeonyoon Lee;Shannon Cassady;Joshua Tucker;Seth S Kessler;B. Wardle - 通讯作者:
B. Wardle
A first genomic portrait of the deep-water azooxanthellate reef-building coral Madracis myriaster: genome size, repetitive elements, nuclear RNA gene operon, mitochondrial genome, and phylogenetic placement in the family Pocilloporidae
- DOI:
10.1007/s00338-023-02419-y - 发表时间:
2023-09-29 - 期刊:
- 影响因子:2.900
- 作者:
Joshua Tucker;Lina M. Barrios;Richard Preziosi;J. Antonio Baeza - 通讯作者:
J. Antonio Baeza
Joshua Tucker的其他文献
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{{ truncateString('Joshua Tucker', 18)}}的其他基金
Lessons Learned: Navigating a Presidential Election During a Pandemic
经验教训:大流行期间的总统选举
- 批准号:
2104209 - 财政年份:2021
- 资助金额:
$ 2.36万 - 项目类别:
Standard Grant
RAPID: Measuring Information Consumption and Beliefs During the Covid-19 Pandemic.
RAPID:衡量 Covid-19 大流行期间的信息消费和信念。
- 批准号:
2029610 - 财政年份:2020
- 资助金额:
$ 2.36万 - 项目类别:
Standard Grant
Theory, Methods, and Empirical Analysis of Internet Bots
互联网机器人的理论、方法和实证分析
- 批准号:
1756657 - 财政年份:2018
- 资助金额:
$ 2.36万 - 项目类别:
Standard Grant
Doctoral Dissertation Research in Political Science: Corruption and Incumbency Disadvantage in New Democracies
政治学博士论文研究:新民主国家的腐败和在职劣势
- 批准号:
1323034 - 财政年份:2014
- 资助金额:
$ 2.36万 - 项目类别:
Standard Grant
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