Information Network Flows and Social and Economic Outcomes: Models, Prediction, and Regulation

信息网络流和社会经济成果：模型、预测和监管

• 批准号: 424187-2012
• 负责人: Corbo, Jacomo
• 金额: $ 1.38万
• 依托单位: University of Ottawa
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2012
• 资助国家: 加拿大
• 起止时间: 2012-01-01 至 2013-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=508020
• 关键词: Information; Network; Flows; Social; Economic

This research project is a three-part program that examines how the structure and dynamic of information flows-as well as the information technologies that facilitate and modify these processes-impact the productivity, performance, and more broadly, the behaviour, of individuals and organizations. First, the research will map the flow of information in real organizations over time and will combine economic theories of production with social network theory to estimate the effects of information propagation on the performance and productivity of individuals and organizations. Second, the project will develop general models of information diffusion and of behaviour in large-scale networked settings using a number of data sets relating to real organizations as well as online social networks. Third, the research will develop methods for improving or otherwise regulating information networks. This work will advance economic theory about information worker production, operations theory relating to resource allocation methods in organizations, sociological theory concerning the propagation of information in social networks, indirect mechanism design in large-scale environments, and statistical methods to model and forecast outcomes in information networks. The central goals of the project are: 1) to estimate and enhance the productivity of information workers, 2) to model, measure and improve organizational performance and our ability to forecast organizational behaviours, and 3) to improve performance-related intervention strategies in information-networked environments. The proposed activities are designed to have broad impact for science, engineering, education, and society. Our understanding of information worker productivity is increasingly paramount to economic growth. Developing robust, practical intervention strategies for regulating the behaviour of networked systems is important in domains ranging from organizational design to epidemiology to viral marketing. The project's emphasis on modeling and forecasting organizational performance will have important implications for how enterprises are organized and how resources within them are allocated.

该研究项目由三部分组成，旨在研究信息流的结构和动态以及促进和修改这些流程的信息技术如何影响个人和组织的生产力、绩效以及更广泛的行为。首先，该研究将绘制真实组织中信息随时间的流动情况，并将生产经济理论与社会网络理论相结合，以估计信息传播对个人和组织绩效和生产力的影响。其次，该项目将使用与真实组织和在线社交网络相关的大量数据集，开发大规模网络环境中信息传播和行为的通用模型。第三，该研究将开发改进或以其他方式规范信息网络的方法。这项工作将推进有关信息工作者生产的经济理论、有关组织中资源分配方法的运作理论、有关社交网络中信息传播的社会学理论、大规模环境中的间接机制设计以及对信息网络中的结果进行建模和预测的统计方法。该项目的中心目标是：1）估计和提高信息工作者的生产力，2）建模、衡量和提高组织绩效以及预测组织行为的能力，3）改进信息网络环境中与绩效相关的干预策略。拟议的活动旨在对科学、工程、教育和社会产生广泛影响。我们对信息工作者生产力的理解对于经济增长越来越重要。制定稳健、实用的干预策略来调节网络系统的行为对于从组织设计到流行病学再到病毒式营销等领域都很重要。该项目强调对组织绩效进行建模和预测，这将对企业的组织方式以及企业内部的资源分配方式产生重要影响。