Collaborative Research: CT-T: Following the Paper Trail: Reliable Processing of Voting Records for Trustworthy Elections
合作研究:CT-T:追踪论文线索:可靠处理投票记录以实现值得信赖的选举
基本信息
- 批准号:0716647
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:Standard Grant
- 财政年份:2007
- 资助国家:美国
- 起止时间:2007-09-15 至 2009-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
National Science Foundation CISE/CNS Form 7 Review Analysis and Recommendation Proposal Number: 0716368 PI: Daniel Lopresti Institution: Lehigh University Lead Proposal Number: 0716393 PI: George Nagy Institution: Rensselaer Polytechnic Institute Sub Proposal Number: 0716647 PI: Elisa H. Barney Smith Institution: Boise State University Sub Proposal Number: 0716543 PI: Christopher Borick Institution: Muhlenberg College Sub Title: Collaborative Research CT-T: Following the Paper Trail: Reliable Processing of Voting Records for Trustworthy Elections Proposal Abstract Provisions for the inclusion of a physical record, in the form of hand- or machine-marked ballots, or as a Voter Verified Paper Audit Trail (VVPAT), are central to guaranteeing safe and secure elections. However, the processing of such records during the initial counting of votes or in the conduct of audits has raised its own set of problems which span broad technical and social boundaries. The aim of this project is to study issues that currently make paper records more of a nuisance than an integral component in trustworthy voting systems. Specifically, the principal investigators are working to characterize the statistical distribution of mark sense errors as a function of ballot layout and quality in optical scanning, to examine approaches for unbiased visual auditing based on ballot images, to investigate the possibility that a concept known as homogeneous class display (HCD) can facilitate manual recounts, and to evaluate recognition errors that may arise in processing the VVPAT used with Direct Recording Electronic (DRE) systems. They are also interested in the effects these issues have on procedures for testing the paper handling components of voting systems in accordance with operational constraints, including the modest training received by most poll workers. This work on voting technologies is supported by ? and supports ? a planned survey and focus groups they are conducting to measure voter confidence and acceptance and to identify common misconceptions and concerns, including accessibility to disabled voters. Beyond its broad impact on the development of more reliable and trustworthy voting technologies, this project more generally has implications for the highly accurate computer processing of any information encoded in human readable form.
国家科学基金会CISE/CNS Form 7评审分析和建议提案编号:0716368 PI:丹尼尔Lopresti机构:利哈伊大学牵头提案编号:0716393 PI:乔治纳吉机构:伦斯勒理工学院子提案编号:0716647 PI:Elisa H.巴尼·史密斯研究所:博伊西州立大学子提案编号:0716543 PI:Christopher Borick机构:穆伦贝格学院子标题:合作研究CT-T:遵循论文线索:可靠地处理投票记录,以进行值得信赖的选举提案摘要规定包括实物记录,以手工或机器标记的选票的形式,或作为选民验证的纸质审计线索(VVPAT),是保障安全选举的核心。然而,在最初点票或进行审计时处理这些记录也引起了一系列跨越广泛技术和社会界限的问题。该项目的目的是研究目前使纸质记录更令人讨厌的问题,而不是值得信赖的投票系统中的一个组成部分。具体而言,主要研究人员正在努力将标记感测误差的统计分布描述为光学扫描中选票布局和质量的函数,以检查基于选票图像的无偏见视觉审计方法,调查被称为均匀类显示(HCD)的概念可以促进人工重新计票的可能性,并评估在处理与直接记录电子(DRE)系统一起使用的VVPAT时可能出现的识别错误。他们还感兴趣的是,这些问题对根据操作限制测试投票系统的纸张处理部件的程序产生的影响,包括大多数投票工作人员接受的有限培训。这项关于投票技术的工作是由?和支持?他们正在进行一项有计划的调查和焦点小组,以衡量选民的信心和接受程度,并查明常见的误解和关切,包括残疾选民的无障碍问题。除了对更可靠和更值得信赖的投票技术的发展产生广泛影响外,该项目还对以人类可读形式编码的任何信息的高度准确的计算机处理产生了更广泛的影响。
项目成果
期刊论文数量(0)
专著数量(0)
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专利数量(0)
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Elisa Barney Smith其他文献
WordStylist: Styled Verbatim Handwritten Text Generation with Latent Diffusion Models
WordStylist:使用潜在扩散模型生成风格逐字手写文本
- DOI:
10.48550/arxiv.2303.16576 - 发表时间:
2023 - 期刊:
- 影响因子:0
- 作者:
Konstantina Nikolaidou;G. Retsinas;Vincent Christlein;Mathias Seuret;Giorgos Sfikas;Elisa Barney Smith;Hamam Mokayed;M. Liwicki - 通讯作者:
M. Liwicki
Reports of the DAS02 working groups
- DOI:
10.1007/s10032-004-0124-5 - 发表时间:
2003-03-01 - 期刊:
- 影响因子:2.500
- 作者:
Elisa Barney Smith;David Monn;Harsha Veeramachaneni;Koichi Kise;Alessio Malizia;Leon Todoran;Adnan El-Nasan;Rolf Ingold - 通讯作者:
Rolf Ingold
Elisa Barney Smith的其他文献
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{{ truncateString('Elisa Barney Smith', 18)}}的其他基金
CIF: Small: Realizing Chip-scale Bio-inspired Spiking Neural Networks with Monolithically Integrated Nano-scale Memristors
CIF:小型:利用单片集成纳米级忆阻器实现芯片级仿生尖峰神经网络
- 批准号:
1320987 - 财政年份:2013
- 资助金额:
-- - 项目类别:
Standard Grant
CAREER: Document Image Degradation Analysis
职业:文档图像退化分析
- 批准号:
0238285 - 财政年份:2003
- 资助金额:
-- - 项目类别:
Continuing Grant
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- 批准号:10774081
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