Lessons Learned: Navigating a Presidential Election During a Pandemic
经验教训:大流行期间的总统选举
基本信息
- 批准号:2104209
- 负责人:
- 金额:$ 5万
- 依托单位:
- 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:2021-01-01 至 2023-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The 2020 election has the potential to introduce challenges not only for voters searching for accurate information on candidates and voting procedures, but also for officials, poll workers, and cybersecurity experts working to administer and protect the electoral process. This award supports a workshop bringing together experts from a range of relevant fields to discuss lessons learned from the 2020 election. The workshop will explore how our country can continually improve our electoral process to be resilient in the most trying of times while simultaneously advancing basic scientific research on all aspects of the voting process. By sparking long-term collaboration across scholars and practitioners that rarely engage with one another, the workshop will help generate new research ideas and partnerships that will chart the course for future election research. The myriad challenges posed by 2020 elections provide a strong opportunity for interdisciplinary research (e.g., voter behavior at the intersection of political science, sociology, psychology, and information science; voting access at the intersection of election law, data science, and cybersecurity). However, traditional professional society meetings rarely enable the interdisciplinary dialogue necessary to develop a comprehensive understanding of the successes and shortcomings of the 2020 election. The workshop brings together scholars from across disciplines, including law, political science, computer science, data science, and mathematics. The output from the workshop will be a widely-disseminated document that lays out the new or updated research problems and ideas that could lead to a potential NSF DCL to solicit new proposals.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.
2020年的选举不仅有可能给寻找候选人和投票程序准确信息的选民带来挑战,也有可能给负责管理和保护选举过程的官员、投票工作人员和网络安全专家带来挑战。该奖项支持一个研讨会,汇集了来自一系列相关领域的专家,讨论从2020年选举中吸取的经验教训。研讨会将探讨我国如何能够不断改进我们的选举进程,使其在最艰难的时期具有弹性,同时推进关于投票进程各个方面的基础科研。通过激发学者和从业者之间的长期合作,很少相互接触,研讨会将有助于产生新的研究思路和伙伴关系,为未来的选举研究指明方向。2020年选举带来的无数挑战为跨学科研究提供了一个很好的机会(例如,政治学、社会学、心理学和信息科学交叉点上的选民行为;选举法、数据科学和网络安全交叉点上的投票访问)。然而,传统的专业社会会议很少能够进行必要的跨学科对话,以全面了解2020年选举的成功和不足。研讨会汇集了来自不同学科的学者,包括法律,政治学,计算机科学,数据科学和数学。研讨会的成果将是一份广泛传播的文件,其中列出了新的或更新的研究问题和想法,这些问题和想法可能导致潜在的NSF DCL征求新的建议。该奖项反映了NSF的法定使命,并被认为值得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来支持。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
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
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Joshua Tucker', 18)}}的其他基金
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:
$ 5万 - 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:
$ 5万 - 项目类别:
Standard Grant
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
- 批准号:
1647450 - 财政年份:2017
- 资助金额:
$ 5万 - 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:
$ 5万 - 项目类别:
Standard Grant
相似海外基金
Investigating the Trustworthiness of Deep Pre-trained and Self-supervised Learned Model.
研究深度预训练和自监督学习模型的可信度。
- 批准号:
24K20806 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Scaling Disk-Resident Learned Indexes For Database Systems
扩展数据库系统的磁盘驻留学习索引
- 批准号:
DP240101211 - 财政年份:2024
- 资助金额:
$ 5万 - 项目类别:
Discovery Projects
SBIR Phase I: Trajectory Optimizations and Learned Foliage Manipulation to Accelerate Throughput in Automated Strawberry Harvesting
SBIR 第一阶段:轨迹优化和学习叶子操纵,以提高自动化草莓收获的吞吐量
- 批准号:
2322402 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Development of multi-contact motion planning based on learned future contact feasibility
基于了解的未来接触可行性开发多接触运动规划
- 批准号:
23K16978 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Risk stratifying indeterminate pulmonary nodules with jointly learned features from longitudinal radiologic and clinical big data
利用纵向放射学和临床大数据共同学习的特征对不确定的肺结节进行风险分层
- 批准号:
10678264 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
The evolutionary dynamics of learned bird song
习得鸟鸣的进化动力学
- 批准号:
2327982 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant
Space programs in developing countries: rationale, modalities of implementation, and lessons learned
发展中国家的空间计划:理由、实施方式和经验教训
- 批准号:
23K12401 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Applying methods & lessons learned from online illicit trade detection to CSA text links
使用方法
- 批准号:
10070472 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Collaborative R&D
Development of transmissive light diffuser that combines "brightness, wide angle, and no color dispersion" learned from the disorder in creatures
从生物的紊乱中汲取经验,开发出兼具“亮度、广角、无色散”的透射式光扩散器
- 批准号:
23H01878 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Grant-in-Aid for Scientific Research (B)
CIF:Small:Toward a Modern Theory of Compression: Manifold Sources and Learned Compressors
CIF:小:迈向现代压缩理论:流形源和学习压缩机
- 批准号:
2306278 - 财政年份:2023
- 资助金额:
$ 5万 - 项目类别:
Standard Grant