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: Regents of the University of Michigan - Ann Arbor
• 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
• 起止时间: 2021-09-01 至 2023-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2136779&HistoricalAwards=false
• 关键词: Conference; Workshops; Global; Elections; Data

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.

人们对选举结果以及投票和投票率行为的地方数据相当感兴趣，但全球规模的数据收集不完整或难以获取。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，开发一种增强的、高质量的、更全面的新资源——选举档案（THEA），存档世界各地的地方选举数据。这些研讨会将允许有效地设计这种新的数据资源，这将有助于研究人员和决策者在大量的政治背景下评估选举过程。该奖项支持两个会议研讨会，一个是虚拟的，一个是面对面的/混合的，有两个最重要的目标：第一，聚集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将建立在现有资源的基础上，特别是自2006年以来就存在的选区级选举档案（CLEA），该档案部分由国家科学基金会（NSF）通过多项拨款资助。讲习班吸引了广泛的社会科学家和潜在用户群体的代表，就研究界的需求和优先事项提出建议，并为学生参与者提供获得数据分析有用技能的机会。该奖项由问责机构和行为计划以及安全和准备计划支持。该奖项反映了美国国家科学基金会的法定使命，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。