Improving Governance of Next-generation ICT Infrastructure

改善下一代ICT基础设施的治理

• 批准号: 0941310
• 负责人: Johannes Bauer
• 金额: $ 69.8万
• 依托单位: Michigan State University
• 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
• 起止时间: 2009-09-15 至 2013-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0941310&HistoricalAwards=false
• 关键词: Improving; Governance; Next; generation; ICT

Information and communication technologies (ICT) have become an integral part of work and social relations. They enhance the quality of life and are prerequisites for continued economic growth and international competitiveness. Next-generation ICT infrastructure (e.g., fiber optical networks, broadband wireless) will support further innovative applications and services in health care, education, and commerce and expand the opportunities for civic participation in public affairs. Successful deployment of next-generation networks and services requires the collaboration of an increasing number of specialized firms. Their working is therefore contingent upon many technical, legal, regulatory, and business agreements. Some of these governance arrangements will emerge from private, decentralized negotiations but others will have to be developed jointly by users, suppliers, and government. Past experience and existing tools used by managers and policy makers are deficient for addressing the upcoming challenges. Most importantly, they do not take into account the multiple interdependencies and feedbacks that characterize modern ICT. This project sets out to develop new conceptual foundations and practical modeling tools that are appropriate for state-of-the-art ICT. These tools will help improve governance arrangements (including voluntary industry agreements, government regulation, and legislation). To this end, the research team will develop simulations of the U.S. ICT infrastructure that capture the key technological, economic, and policy aspects of the ICT infrastructure. Combining genetic programming and agent-based modeling techniques will allow first finding a reasonable representation of this complex adaptive system. This framework will then guide systematic exploration of the effects of different governance choices on ICT infrastructure performance. Alternative governance choices modify behavior of individuals or groups of stakeholders which will be captured in the rules followed by the agents in the simulation. The computational approach allows the systematic exploration of how such governance choices affect the performance of the ICT system after relevant feedbacks and indirect effects are taken into account.During the next decade, the U.S. will have to make important ICT governance decisions that may influence the course of ICT development for a long time with substantial economic and social implications. The project will develop a modeling framework in which, for the first time in the field of ICT, the performance consequences of alternative management and public policy choices can be explored in virtual space rather than by potentially costly trial-and-error. It will contribute to the formation of new theories of the interaction between governance and the performance of complex adaptive systems but also spawn practical tools that can be used to improve such decisions. Experts in industry, government, and research will be briefed and consulted throughout the whole project to improve the relevance of the research and share preliminary findings with practitioners. Moreover, the project will generate new modules that can be used in teaching. As ICT infrastructure is one example of a class of complex adaptive systems, the project will also develop groundwork for similar approaches in other areas.

信息和通信技术（ICT）已成为工作和社会关系不可或缺的一部分。 它们提高了生活质量，并且是持续经济增长和国际竞争力的先决条件。 下一代ICT基础设施（例如，光纤网络，宽带无线）将支持医疗保健，教育和商业中进一步的创新应用和服务，并扩大公民参与公共事务的机会。 成功部署下一代网络和服务需要越来越多的专业公司的合作。 因此，他们的工作取决于许多技术，法律，监管和商业协议。 其中一些治理安排将从私人，分散的谈判中出现，但其他人则必须由用户，供应商和政府共同开发。 经理和政策制定者使用的过去经验和现有工具在解决即将到来的挑战方面缺乏。 最重要的是，他们没有考虑到代表现代ICT的多种相互依存关系和反馈。 该项目着手开发适合最先进的ICT的新概念基础和实用建模工具。 这些工具将有助于改善治理安排（包括志愿行业协议，政府监管和立法）。 为此，研究团队将开发对美国ICT基础设施的模拟，以捕捉ICT基础设施的关键技术，经济和政策方面。 结合遗传编程和基于代理的建模技​​术将首先找到这种复杂自适应系统的合理表示。 然后，该框架将指导系统探索不同治理选择对ICT基础设施绩效的影响。 替代治理选择改变了个人或利益相关者群体的行为，这些行为将在模拟中的代理商遵循的规则中捕获。 计算方法允许对这种治理选择的系统探索如何影响相关反馈和间接影响后如何影响ICT系统的性能。在接下来的十年中，美国将必须做出重要的ICT治理决策，这可能会对ICT发展产生长期发展的实质性经济和社会影响。 该项目将开发一个建模框架，在该框架中，在ICT领域，替代管理和公共政策选择的绩效后果首次可以在虚拟空间中探索，而不是通过潜在昂贵的反复试验。 它将有助于形成治理与复杂自适应系统性能之间相互作用的新理论，还可以产生可用于改善此类决策的实用工具。 在整个项目中，将对行业，政府和研究的专家进行简报和咨询，以提高研究的相关性并与从业者分享初步发现。 此外，该项目将生成可用于教学的新模块。 由于ICT基础架构是一类复杂自适应系统的一个例子，因此该项目还将为其他领域的类似方法开发基础。