SAI: Data-Driven Governance for Broadband Infrastructure

SAI：宽带基础设施的数据驱动治理

• 批准号: 2324515
• 负责人: Nicole Marwell
• 金额: $ 75万
• 依托单位: University of Chicago
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2023
• 资助国家: 美国
• 起止时间: 2023-09-15 至 2026-08-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2324515&HistoricalAwards=false
• 关键词: SAI; Data; Driven; Governance; Broadband

Strengthening American Infrastructure (SAI) is an NSF Program seeking to stimulate human-centered fundamental and potentially transformative research that strengthens America’s infrastructure. Effective infrastructure provides a strong foundation for socioeconomic vitality and broad quality of life improvement. Strong, reliable, and effective infrastructure spurs private-sector innovation, grows the economy, creates jobs, makes public-sector service provision more efficient, strengthens communities, promotes equal opportunity, protects the natural environment, enhances national security, and fuels American leadership. To achieve these goals requires expertise from across the science and engineering disciplines. SAI focuses on how knowledge of human reasoning and decision-making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.The United States is at the start of a massive investment in the nation’s broadband infrastructure. A major focus of this investment is on improving equity in broadband access, adoption, and use. To inform the effort, reliable data are needed to identify areas of the nation that are underserved or unserved. A major challenge is that existing data and performance metrics are not well-suited to drawing conclusions about how to target new broadband investments to ensure that all Americans are connected to high-speed broadband at a price they can afford. This project responds to the challenge by developing and validating new sampling and modeling approaches for measuring broadband performance at the scale of meaningful human geographies, such as blocks, neighborhoods, villages, communities, townships, and cities. For these new approaches to be of use and to inform policy implementation requires a better understanding of how governance processes that incorporate data as a source of knowledge unfold and take root in practice. This project therefore also identifies the factors that constrain or enable the adoption of novel Internet measurement data. The research informs ongoing broadband investment efforts and empowers broadband governance stakeholders with the knowledge and tools to gather their own longitudinal Internet performance data.Working in six diverse communities, this project examines how the provision of high-quality data on Internet performance to local broadband stakeholders affects decision-making on deployment of broadband infrastructure investments. Local stakeholders work with the research team to deploy new Internet measurement software to gather continuous measurements on Internet performance from households in each community. This work is complemented by a qualitative research study, combining interviews and participant-observation, to understand how broadband stakeholders respond to this new information in their decision-making. The framework developed by this project accounts for the values, interests, and fears embedded in stakeholder organizations, including government agencies, advocacy organizations, community groups, and Internet Service Providers. By developing new sources of Internet measurement data and achieving a better understanding of how those data are best incorporated into policy implementation decisions, the national investment in broadband infrastructure is more likely to reach the places where it is most needed.This award is supported by the Directorate for Social, Behavioral, and Economic (SBE) Sciences.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

加强美国基础设施（SAI）是一项NSF计划，旨在刺激以人为本的基本和潜在的变革性研究，从而增强美国的基础设施。有效的基础设施为社会经济活力和广泛的生活质量改善奠定了坚实的基础。强大，可靠和有效的基础设施刺激了私营部门的创新，发展经济，创造就业机会，使公共部门服务提供效率更高，增强社区，促进平等的机会，保护自然环境，增强国家安全，并为美国的领导燃料。为了实现这些目标，需要从整个科学和工程学科的专业知识。 SAI专注于对人类推理和决策，治理以及社会和文化过程的了解，使建立和维护有效的基础设施，以改善生活和社会，并以技术和工程的进步发展。这项投资的重点是改善宽带访问，采用和使用的股权。为了告知努力，需要可靠的数据来识别国家服务不足或无服务的领域。一个主要的挑战是，现有的数据和性能指标并不适合得出关于如何针对新宽带投资的结论，以确保所有美国人都以他们负担得起的价格与高速宽带联系。该项目通过开发和验证新的采样和建模方法来应对挑战，以在有意义的人类地理位置（例如街区，社区，村庄，社区，乡镇和城市）的规模上衡量宽带性能。为了使这些新方法用于使用并告知政策实施，需要更好地了解将数据作为知识来源的治理过程如何发展并在实践中扎根。因此，该项目还确定了限制或能够采用新型互联网测量数据的因素。该研究为正在进行的宽带投资工作提供了信息，并使宽带治理利益相关者拥有知识和工具，以收集自己的纵向互联网绩效数据。在六个潜水员社区中，该项目研究如何向本地宽带利益相关者提供高质量的互联网绩效数据，从而影响宽带基础投资的决策。当地利益相关者与研究团队合作，部署新的互联网测量软件，以收集每个社区家庭互联网绩效的连续测量。这项工作是由定性研究完成的，结合了访谈和参与观察的，以了解宽带利益相关者如何在决策中响应这一新信息。该项目开发的框架是嵌入在利益相关组织中的价值，利益和恐惧的框架，包括政府机构，倡导组织，社区团体和互联网服务提供商。通过制定互联网测量数据的新来源，并更好地了解这些数据如何最好地纳入政策实施决策中，国家对宽带基础架构的投资更有可能到达最需要的地方。该奖项得到了社会，行为和经济（SBE）的授予的授权和诚实的构建范围。更广泛的影响审查标准。