VOSS: Empirical Analysis of Large-Scale Argumentation

VOSS：大规模论证的实证分析

• 批准号: 0943139
• 负责人: Mark Klein
• 金额: $ 25万
• 依托单位: Massachusetts Institute of Technology
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2010
• 资助国家: 美国
• 起止时间: 2010-06-01 至 2013-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0943139&HistoricalAwards=false
• 关键词: VOSS; Empirical; Analysis; Large; Scale

Proposal: 0943139Title: VOSS: Empirical Analysis of Large-Scale ArgumentationPI: Mark KleinInstitution: MITThis award is funded under the American Recovery and Reinvestment Act of 2009 (Public Law 111-5). This research applies argumentation theory to large-scale (hundreds to thousands of users), asynchronous, and geographically dispersed virtual organizations. Solving highly complex scientific and engineering problems often requires effective collective deliberation among participants who may be geographically and temporally distributed. Using cyberinfrastructure, virtual organizations connect people working on the same problem and enable them to share information. However, when a large number of people are involved, contributions to internet-mediated discussions are typically scattered and unsystematic, vary widely in quality, and are highly redundant. Current web-based systems do not provide adequate support for collective deliberations on truly complex issues and convergence on well supported decisions and actions to be taken. Argumentation theory has addressed these limitations in small-scale, face-to-face settings and will be extended here to provide support for large-scale, distributed settings through a series of 'action research' interventions in real-world (business, scientific, government, and educational) virtual organizations.Techniques that enable virtual organizations to deliberate effectively about complex controversial topics can have an enormous positive impact in domains that range from education to government policy-making to business decision-making to scientific collaborations. The community of experts and stakeholders for a problem can be tapped more quickly and inexpensively to generate a much broader range of potentially useful ideas. Evaluations of these ideas can also be provided from a much broader and more representative range of perspectives improving the quality and timeliness of collective decisions about high-impact, multi-disciplinary problems such as climate change, epidemics, and international security.

提案：0943139标题：你好大规模论证的实证分析PI：Mark Klein机构：MIT该奖项是根据2009年美国复苏和再投资法案（公法111-5）资助的。这项研究将论证理论应用于大规模（数百到数千个用户）、异步和地理分散的虚拟组织。解决高度复杂的科学和工程问题往往需要在地理和时间上分散的参与者之间进行有效的集体审议。 利用网络基础设施，虚拟组织将解决同一问题的人员联系起来，使他们能够共享信息。 然而，当涉及大量人员时，对互联网介导的讨论的贡献通常是分散和不系统的，质量差异很大，并且高度冗余。 目前的网基系统没有充分支持就真正复杂的问题进行集体审议，也没有就得到充分支持的决定和有待采取的行动达成一致意见。 论证理论已经解决了这些局限性，在小规模，面对面的设置，并将在这里扩展到提供支持，通过一系列的行动研究，在现实世界中的干预大规模，分布式设置（商业，科学，政府，教育）使虚拟组织能够有效地讨论复杂的有争议的主题的技术可以在各个领域产生巨大的积极影响。从教育到政府决策，从商业决策到科学合作。可以更快、更便宜地利用专家和利益相关者社区来产生更广泛的潜在有用的想法。 对这些想法的评估也可以从更广泛和更具代表性的角度来提供，以提高关于气候变化、流行病和国际安全等影响力大的多学科问题的集体决策的质量和及时性。