VOSS: Collaborative Research: Sharing Insights Across Multiple Virtual Organizations

VOSS：协作研究：跨多个虚拟组织共享见解

• 批准号: 1025184
• 负责人: Susan Fussell
• 金额: $ 19.93万
• 依托单位: Cornell University
• 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: 2010-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1025184&HistoricalAwards=false
• 关键词: VOSS; Collaborative; Research; Sharing; Insights

Collaboration through virtual organizations is crucial for analyzing and tackling problems such as preventing terrorists, understanding business risks, tracing outbreaks of disease, and conducting criminal investigations. Nonetheless, these collaborations can fail to connect the dots for lack of a technological and organizational framework for leveraging large amounts of dynamic shared information collaboratively. A key research question is how to support the ability of collaborating organizations to attend to and follow up on scattered and often unexpected information from different sources. This research will gain a fundamental understanding of inter-organizational collaborative investigative analysis. The investigators are conducting interviews with members of virtual organizations and controlled laboratory studies to examine interventions that might increase information use across organizational boundaries, and developing and evaluating tools to accomplish these interventions. The research contributes in three areas: (a) understanding how analytical processes across organizational boundaries are evidenced in how people make use of shared but unexpected information, (b) understanding the benefits and costs of different methods for managing collaborative analysis in an environment of large amounts of dynamic information, and (c) designing and testing the effectiveness of interfaces that provide information to support emergent attention and responsibility taking in a multi-organizational collaboration. This project will inform collaborative investigative analysis in fields such as criminal justice, intelligence, science, and epidemiology. The results could lead to new visualization tools for analysts in these areas, recommendations for organizational practices to improve the quality of collaborative analysis, new methods for training professional analysts to solve complex, interconnected problems, and learning tools for graduate programs in fields such as intelligence and epidemiological analysis and criminal justice. The research will also involve undergraduate and graduate students, and will result in their further training and education in interdisciplinary research.

通过虚拟组织进行协作对于分析和解决诸如防范恐怖分子、了解业务风险、追踪疾病爆发和进行刑事调查等问题至关重要。尽管如此，由于缺乏技术和组织框架来协作地利用大量动态共享信息，这些协作可能无法将点连接起来。一个关键的研究问题是如何支持协作组织的能力，以关注和跟进分散的，往往是意想不到的信息，从不同的来源。本研究将对组织间的合作调查分析有一个基本的了解。研究人员正在与虚拟组织的成员进行访谈，并进行受控实验室研究，以检查可能增加跨组织边界信息使用的干预措施，并开发和评估实现这些干预措施的工具。该研究在三个领域做出了贡献：（a）理解跨组织边界的分析过程如何在人们如何利用共享但意外的信息中得到证明，（B）理解在大量动态信息的环境中管理协作分析的不同方法的益处和成本，以及（c）设计和测试接口的有效性，所述接口提供信息以支持在多组织协作中的紧急关注和责任承担。该项目将为刑事司法、情报、科学和流行病学等领域的合作调查分析提供信息。研究结果可能会为这些领域的分析师带来新的可视化工具，为提高协作分析质量的组织实践提出建议，为培训专业分析师解决复杂，相互关联的问题提供新方法，以及为情报和流行病学分析和刑事司法等领域的研究生课程提供学习工具。这项研究还将涉及本科生和研究生，并将导致他们在跨学科研究的进一步培训和教育。