EAGER: GreenSC: Characterizing and Modeling Energy Use in Social Computing

EAGER：GreenSC：社会计算中能源使用的表征和建模

• 批准号: 1141517
• 负责人: Thomas Finholt
• 金额: $ 30万
• 依托单位: Regents of the University of Michigan - Ann Arbor
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2011
• 资助国家: 美国
• 起止时间: 2011-09-01 至 2014-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1141517&HistoricalAwards=false
• 关键词: EAGER; GreenSC; Characterizing; Modeling; Energy

Social networks link behavioral and social activities with a myriad of infrastructural networks that support relationships between individuals. These infrastructural networks include the Internet, telephone systems and transportation networks, all of which are in turn tied to power and fuel-supply networks, such as electricity grids. Social networks play a powerful shaping role on underlying infrastructural networks, placing great demands on their capacity and helping determine how they evolve through use. An initial set of analyses suggests that there are significant opportunities for improving energy use by analyzing and optimizing the energy required to build and sustain social networks. This project seeks to quantify the energy requirements of social networks and identify strategies for optimizing their energy use by: assessing the ecology of technologies used in social networks through surveys and crowdsourced data; modeling and empirically measuring the power consumed in communication technologies; and developing a social sustainability composite indicator that will be integrated into a tool to help users make more sustainable choices. Intellectual Merit This project will lead to an improved understanding of the behavior and dynamics of complex, socio-technical networks so that future networks can be better designed. The project seeks to build an understanding of how different communication technologies are used together in social networks and to use this model to address how energy use accumulates in technical networks that support relationships. Finally, the project seeks to link large-scale problems with the actions and behaviors of individuals, which is critical for promoting behavioral change. Broader Impacts The questions answered in this project are critical to informed optimization and innovation of energy use in the context of social networks and social life. A better understanding of the energy cost of social networks and social computing technologies promises to have impact in climate change, information technology for development and operational efficiency. Additionally, the project?s findings will be distributed through a number of national programs for training and curriculum development.

社会网络将行为和社会活动与无数支持个人之间关系的基础网络联系起来。这些基础设施网络包括互联网、电话系统和运输网络，所有这些网络反过来又与电力和燃料供应网络（如电网）联系在一起。社交网络在底层基础设施网络中发挥着强大的塑造作用，对它们的能力提出了巨大的要求，并帮助确定它们如何通过使用而发展。一组初步分析表明，通过分析和优化建立和维持社会网络所需的能源，有很大的机会改善能源使用。该项目旨在量化社交网络的能源需求，并通过以下方式确定优化其能源使用的策略：通过调查和众包数据评估社交网络中使用的技术生态；通信技术能耗建模与实证测量并开发一个社会可持续性综合指标，将其整合到一个工具中，以帮助用户做出更可持续的选择。这个项目将提高对复杂的社会技术网络的行为和动态的理解，以便更好地设计未来的网络。该项目旨在了解不同的通信技术如何在社交网络中一起使用，并使用该模型来解决能源使用如何在支持关系的技术网络中积累。最后，该项目寻求将大规模问题与个人的行动和行为联系起来，这对于促进行为改变至关重要。本项目所回答的问题对于社会网络和社会生活背景下能源使用的知情优化和创新至关重要。更好地了解社会网络和社会计算技术的能源成本有望对气候变化、信息技术促进发展和运营效率产生影响。此外，项目？调查结果将通过若干国家培训和课程编制方案分发。