RIDIR: Collaborative Research: Data Science Tools for Policy Analyses

RIDIR：协作研究：用于政策分析的数据科学工具

• 批准号: 1831921
• 负责人: Tyler Scott
• 金额: $ 3.84万
• 依托单位: University of California-Davis
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-09-01 至 2021-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1831921&HistoricalAwards=false
• 关键词: RIDIR; Collaborative; Research; Data; Science

This research will design and develop a data science platform that provides access to policy documents. The platform will make available for the first-time analytical tools, using natural language computer processing and data science to enable systematic research and inquiry by practitioners, project proponents, scholars, and the public to answer a host of critical questions about public policy. Using natural language processing and data science, this research will design and develop a data science platform that provides access to tens of thousands of policy documents. The research team will produce a blueprint for the platform and validate its functionality with a community of scholars and practitioners, and establish the platform structure, ingest data, and refine analytical tools to integrate policy documents across many repositories, link text to metadata even when text comes from one source and the metadata from another, infer more detailed types of metadata that are not present in any of the existing repositories from analysis of the text, and allow researchers, contractors, and policy analysts to pose complex questions and answer them via analysis of policy documents. The team will also build a user community to catalyze scholarship and application and develop long-term mechanisms to ensure the sustainability and continued growth, management, and use of the platform and its resources.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.

这项研究将设计和开发一个数据科学平台，提供访问政策文件的途径。该平台将首次提供分析工具，使用自然语言计算机处理和数据科学，使从业者、项目支持者、学者和公众能够进行系统研究和询问，以回答一系列关于公共政策的关键问题。这项研究将利用自然语言处理和数据科学，设计和开发一个数据科学平台，提供对数万份政策文件的访问。研究团队将为该平台制定蓝图，并与学者和从业者社区一起验证其功能，并建立平台结构，吸收数据，改进分析工具，以集成多个存储库的政策文档，将文本与元数据链接，即使文本来自一个来源，元数据来自另一个来源，通过对文本的分析推断出任何现有存储库中没有的更详细的元数据类型，并允许研究人员、承包商和政策分析师提出复杂的问题并通过分析政策文档来回答这些问题。该团队还将建立一个用户社区，以促进学术和应用，并开发长期机制，以确保平台及其资源的可持续性和持续增长、管理和使用。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势和更广泛的影响审查标准进行评估，被认为值得支持。