课题基金 / 基金详情

Conference Workshops on Global Elections Data Resources

Conference Workshops on Global Elections Data Resources
全球选举数据资源会议研讨会
批准号:
2136779
负责人:
Kenneth Kollman
金额:
$4.97万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2021
资助国家:
美国
项目状态:
已结题
起止时间:
2021-09-01 至 2023-08-31

项目摘要

项目成果

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中文摘要
翻译
人们对地方一级关于选举结果、投票和投票行为的数据很感兴趣,但全球范围的数据收集不完整或难以获得。 该奖项支持两个研讨会作为第一步(在选区级选举档案(CLEA)的基础上,开发一个增强的,高质量的,更全面的新资源,选举档案(THEA)存档来自世界各地的地方选举数据。这些讲习班将有助于有效设计这一新的数据资源,这将有助于研究人员和决策者在许多政治背景下评价选举进程。该奖项支持两个会议研讨会,一个是虚拟的,一个是面对面/混合的,有两个首要目标:第一,聚集来自世界各地的选举数据专家,分享研究成果并贡献他们的专业知识,第二,扩大和多样化参与选举档案(THEA)的研究人员网络,将于2022年或2023年推出。 THEA将利用现有资源,特别是自2006年以来一直存在的选区级选举档案(CLEA),并由NSF通过多次赠款提供部分资金。 讲习班邀请了广泛的社会科学家和潜在用户社区的代表就研究社区的需求和优先事项提供咨询意见,并为学生参与者提供机会,以获得数据分析方面的有用技能。该奖项由负责机构和行为计划以及安全和准备计划支持。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而被认为值得支持。
英文摘要
There is considerable interest in local-level data on election returns, and on voting and turnout behavior, but collections of data at global scale are incomplete or hard to access. This award supports two workshops as first steps (building on the Constituency Level Elections Archive (CLEA) in developing an enhanced, high-quality, and more comprehensive new resource, The Election Archive (THEA) archiving local level election data from around the world. The workshops will allow for the effective design of this new data resource, which will help researchers and policy makers evaluate election processes in a large number of political contexts. This award supports two conference workshops, one virtual and one in-person/hybrid, with two overriding goals: first, to gather together experts on data from elections around the world to share research findings and contribute their expertise and, second, to broaden and diversify the network of researchers involved in The Election Archive (THEA), to be introduced in 2022 or 2023. THEA will build on available resources, especially Constituency Level Elections Archive (CLEA), which has existed since 2006, and has been funded in part by NSF over multiple grants. The workshops engage a wide range of social scientists and representatives of potential user communities to advise on research community needs and priorities, and provide opportunities for student participants to gain useful skills in data analysis. This award is supported by the Accountable Institutions and Behavior Program and the Security and Preparedness Program.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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会议论文
Electoral Congruence Across Institutions: A Comparative Study and Improved Data Infrastructure
The Seventh Module of the Comparative Study of Electoral Systems (CSES)
RIDIR: The Sub-National Data Archive System for Social and Behavioral Data
The Sixth Module of the Comparative Study of Electoral Systems (CSES)
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