RAPID: Developing a Benefits Distribution System to Facilitate Economic Recovery from the Impact of COVID-19

RAPID：开发福利分配系统以促进经济从 COVID-19 的影响中复苏

• 批准号: 2029746
• 负责人: Justine Hastings
• 金额: $ 14.86万
• 依托单位: National Bureau of Economic Research Inc
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-06-01 至 2022-05-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2029746&HistoricalAwards=false
• 关键词: RAPID; Developing; Benefits; Distribution; System

The project aims to serve the national need of developing Pandemic Response benefits distribution systems to support individuals eligible for unemployment benefits and other services. The Coronavirus Disease 2019 (COVID-19) has caused the shutdown of many sectors in the US economy, resulting in an unprecedented amount of unemployment claims in a short period of time. This project seeks to (1) help states develop and deploy Pandemic Response benefits distribution systems needed to meet the high demand of unemployment insurance claims, including for workers newly eligible under the Pandemic Unemployment Assistance (PUA) program; (2) analyze administrative data to understand needs of the impacted population; (3) develop and deploy outreach and support systems to connect the impacted population to government support systems and labor training programs to help individuals find gainful re-employment; and (4) facilitate the sharing of findings to increase the national impact. This project builds upon a pilot that was designed to facilitate and deploy a benefits application collection system for Rhode Islanders (NSF award 1937061). The pilot successfully developed and deployed the system through a collaborative effort with Research Improving People's Lives, Amazon Web Services, and the Rhode Island Department of Labor and Training. This current project will expand and refine the pilot effort to be openly shared with other states. This project aims to design and deploy Pandemic Response benefits distribution systems, such as those needed for unemployment insurance claims, so that states can support their residents during the crisis. The project will analyze state administrative data, including administrative data on earnings, employment, and public assistance programs to quickly deliver insights that help identify needs of the impacted population. By deploying outreach support systems to connect impacted individuals to training programs and government support systems, this project aims to help individuals find gainful re-employment after the COVID-19 shutdown. The project will facilitate sharing findings through video conference meetings to disseminate results and evidence-based practices to the public, including state policy leaders, as an effort to support a national economic recovery.This RAPID award is made by the Convergence Accelerator program in the Office of Integrative Activities and is associated with the Convergence Accelerator Track B: Future of Work and the Human-Technology Frontier.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.

该项目旨在满足国家发展流行病应对福利分配系统的需要，以支持有资格获得失业救济金和其他服务的个人。冠状病毒病2019(新冠肺炎)导致美国经济多个部门停摆，短时间内申领失业救济金人数达到前所未有的规模。该项目旨在(1)帮助各州开发和部署应对大流行病的福利分配系统，以满足失业保险申领的高需求，包括大流行失业援助(PUA)计划下新符合条件的工人；(2)分析行政数据，以了解受影响人口的需求；(3)开发和部署外联和支持系统，将受影响人口与政府支持系统和劳动力培训计划联系起来，帮助个人找到有收入的再就业；以及(4)促进研究结果的共享，以增加全国影响。该项目建立在一个试点项目的基础上，该试点项目旨在促进和部署罗德岛居民的福利申请收集系统(国家自然科学基金奖1937061)。通过与改善人民生活研究、亚马逊网络服务和罗德岛州劳工和培训部的合作，试点成功地开发和部署了该系统。目前的这个项目将扩大和完善试点工作，以便与其他州公开分享。该项目旨在设计和部署大流行应对福利分配系统，例如失业保险索赔所需的福利分配系统，以便各州能够在危机期间支持居民。该项目将分析州行政数据，包括收入、就业和公共援助计划的行政数据，以快速提供见解，帮助确定受影响人口的需求。通过部署外联支持系统，将受影响的个人与培训计划和政府支持系统联系起来，该项目旨在帮助个人在新冠肺炎关闭后找到有报酬的再就业。该项目将通过视频会议促进共享结果，向包括州政策领导人在内的公众传播结果和基于证据的做法，以努力支持国家经济复苏。这一快速奖项由综合活动办公室的融合加速器计划颁发，并与融合加速器轨道B：工作的未来和人-技术前沿相关。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。