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Collaborative Research: Workshop on Confidential Data Collection for Innovation Analysis in Organizations to be held at Microsoft headquarters in September 2009 - Redmond, WA.

Collaborative Research: Workshop on Confidential Data Collection for Innovation Analysis in Organizations to be held at Microsoft headquarters in September 2009 - Redmond, WA.
协作研究:组织创新分析机密数据收集研讨会将于 2009 年 9 月在华盛顿州雷德蒙德的 Microsoft 总部举行。
批准号:
0943337
负责人:
Christian Schunn
金额:
$5.03万
依托单位:
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2009
资助国家:
美国
项目状态:
已结题
起止时间:
2009-09-15 至 2010-08-31

项目摘要

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中文摘要
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英文摘要
Understanding how organizations promote innovation is a key element of advancing the science of innovation, and hence the science of innovation policy. Data on innovation inputs, innovation processes, and innovation outputs are increasingly being captured and stored electronically. A number of fundamental bottlenecks to using these data to advance social science research exist due to unsolved issues of privacy, data integration, and data quality. The core scientific challenge is how to make such real-world, large-scale data available to researchers to nurture innovation and perform valid experimentation, while maintaining data privacy. Fortunately, computer scientists have been developing a variety of techniques and building new tools that manage large data sets in ways that can potentially help in supporting and measuring innovation activities. This workshop brings together social scientists, the users of data on innovation, together with computer scientists, the creators of new tools for collecting data while protecting privacy concerns. The workshop includes leading computer scientists with specialties in data management, data mining, security/privacy and social networks as well as social/organizational scientists, such as economists, sociologists, psychologists and anthropologists. The focus of the workshop is to identify emerging major challenges in this interdisciplinary area. Three different types of data critical to the study of innovation are the focus of study: third party data, such as U.S. Census data, patendt databases, NSF funding data or citation databases; detailed insider data such as internal communications, team video, or team documentation; and broader insider data such as cross-firm surveys.The broader impact of the workshop is substantial. First, an enhanced empirical basis for studying innovation is necessary to guide policy decisions. Second, the workshop participants represent a broad variety of disciplines, which creates a broader interdisciplinary network of study. Finally, the attendance of graduate students advances the goal of training a new cohort of researchers in the field.
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