Convergence Accelerator Phase I (RAISE): Building the Federalism Data and Advanced Statistics Hub (FDASH)

融合加速器第一阶段 (RAISE)：建立联邦制数据和高级统计中心 (FDASH)

• 批准号: 1937033
• 负责人: Jason Windett
• 金额: $ 100万
• 依托单位: University of North Carolina at Charlotte
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2021-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1937033&HistoricalAwards=false
• 关键词: Convergence; Accelerator; Phase; RAISE; Building

The NSF Convergence Accelerator supports team-based, multidisciplinary efforts that address challenges of national importance and show potential for deliverables in the near future. The broader impact and potential societal benefit of this Convergence Accelerator Phase I project is the development of a single, comprehensive source of data and analysis on governing institutions and public policies across the states of the United States of America. This resource, which the project calls the Federalism Data and Advanced Statistics Hub (F-DASH), has the potential to provide significant benefits to researchers, educators, and the public by integrating an unprecedented amount policy, social, and economic data, as well as developing analytic tools that will allow users to easily explore, visualize, and analyze these data. The project is a convergence research effort encompassing applied statistics, computer science, geography, philosophy, political science, public policy, and sociology. It also draws on technical expertise and channels for connecting the work to users through collaborations with several partner organizations, such as Open States, the Society for Public Health Educators, and the State Politics and Policy Section of the American Political Science Association. These collaborations and the overall F-DASH effort should facilitate breakthroughs by researchers, innovations by practitioners, new classroom materials for teachers, and new opportunities for engagement by citizens. Public policy at the state level has a direct impact on citizens? daily lives, including their health, education, and employment, and this phase I F-DASH project will provide immediate and accessible information on these and other topics. The study of public policy is the study of how representative government in a federal system translates citizen preferences into laws that impact society. The American states represent an ideal venue for understanding the effects of policy choices because states routinely experiment with different solutions to important challenges. However, the decentralized nature of the American federal system impedes efforts to compare economic, social, or other outcomes across the states. Indeed, researchers must often engage in 50 separate data collection processes due to the unique challenges of data acquisition in each state. Consequently, researchers or government agencies commonly collect only the minimum of what they need to address a particular question. Moreover, they often do not share these data, and those who do make data publicly available have no obvious way to connect their data to data collected by others. The F-DASH will provide a centralized location for data collection and analysis related to institutions, policies, and their implications in the American states. These data will include policy documents produced by government, such as legislative bills, as well as commonly-used derivative measures. In addition, the F-DASH will promote innovation in complex database design and provide an extensive test-bed for researchers interested in text mining, large-scale relational databases, static and dynamic network analysis, and many other topics.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.

NSF融合加速器支持以团队为基础的多学科努力，以应对国家重要性的挑战，并在不久的将来展示可交付成果的潜力。 这个融合加速器第一阶段项目的更广泛的影响和潜在的社会效益是开发一个关于美利坚合众国各州管理机构和公共政策的单一、全面的数据和分析来源。该项目称之为联邦主义数据和高级统计中心（F-DASH），通过整合前所未有的大量政策，社会和经济数据，以及开发允许用户轻松探索，可视化和分析这些数据的分析工具，有可能为研究人员，教育工作者和公众提供显着的好处。该项目是一个融合的研究工作，包括应用统计学，计算机科学，地理学，哲学，政治学，公共政策和社会学。它还利用技术专业知识和渠道，通过与开放国家、公共卫生教育工作者协会以及美国政治科学协会州政治和政策部门等多个合作伙伴组织的合作，将工作与用户联系起来。这些合作和F-DASH的整体努力应该促进研究人员的突破，从业者的创新，教师的新课堂材料以及公民参与的新机会。国家层面的公共政策对公民有直接影响吗？日常生活，包括他们的健康，教育和就业，这个第一阶段F-DASH项目将提供关于这些和其他主题的即时和可访问的信息。公共政策的研究是如何在一个联邦系统的代议制政府转化为影响社会的法律公民的喜好的研究。美国各州是理解政策选择效果的理想场所，因为各州经常尝试不同的解决方案来应对重要挑战。然而，美国联邦系统的分权性质阻碍了各州之间比较经济、社会或其他结果的努力。事实上，由于每个州的数据采集面临着独特的挑战，研究人员必须经常参与50个独立的数据收集过程。因此，研究人员或政府机构通常只收集解决特定问题所需的最低限度。此外，他们通常不分享这些数据，而那些公开数据的人没有明显的方法将他们的数据与其他人收集的数据联系起来。F-DASH将为美国各州的机构、政策及其影响相关的数据收集和分析提供一个集中的位置。这些数据将包括政府制定的政策文件，如立法法案，以及常用的衍生措施。此外，F-DASH将促进复杂数据库设计的创新，并为对文本挖掘、大规模关系数据库、静态和动态网络分析以及许多其他主题感兴趣的研究人员提供广泛的测试平台。该奖项反映了NSF的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。