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.

通过虚拟组织的合作对于分析和解决诸如预防恐怖分子，了解商业风险，追踪疾病爆发以及进行刑事调查等问题至关重要。但是，由于缺乏技术和组织框架来利用大量动态共享信息，这些合作可能无法连接点。一个关键的研究问题是如何支持合作组织参加和跟进来自不同来源的分散且经常出乎意料的信息的能力。这项研究将获得对组织间协作调查分析的基本理解。研究人员正在对虚拟组织和受控实验室研究的成员进行访谈，以检查可能会增加组织界限内信息使用的干预措施，并开发和评估工具以完成这些干预措施。该研究在三个领域做出了贡献：（a）了解人们如何利用共享但出乎意料的信息来证明跨组织界限的分析过程，（b）理解在大量动态信息环境中管理协作分析的不同方法和成本，以及（c）设计和测试与紧急关注和责任相互关注的接口的有效性。该项目将为诸如刑事司法，情报，科学和流行病学等领域的合作调查分析提供信息。结果可能会为这些领域的分析师提供新的可视化工具，组织实践的建议，以提高协作分析的质量，培训专业分析师的新方法，以解决复杂，相互联系的问题，学习工具，用于智能和流行病学分析等领域的研究生课程。该研究还将涉及本科生和研究生，并将在跨学科研究中进行进一步的培训和教育。