课题基金 / 基金详情

RAPID: Collaborative Research: Relationships, social distancing, social media and the spread of COVID-19

RAPID: Collaborative Research: Relationships, social distancing, social media and the spread of COVID-19
RAPID:合作研究:人际关系、社交距离、社交媒体和 COVID-19 的传播
批准号:
2029792
负责人:
Matthew Baum
金额:
$10.0万
依托单位:
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
项目状态:
已结题
起止时间:
2020-05-15 至 2021-10-31

项目摘要

项目成果

Matthew Baum的其他基金

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中文摘要
翻译
该项目旨在通过与个人社交媒体数据相关的滚动全国调查开展大规模数据收集,从而改善国家对COVID-19大流行的应对措施。我们生成对决策者和地方当局有用的信息,并提供近乎实时的各州疾病跟踪。我们的数据使官员能够了解病毒目前在哪里传播,从而促进改善资源分配。我们还评估了疾病的网络性质,根据调查参与者报告的社会关系和他们的社会距离行为跟踪其流动。该项目捕捉了美国人在这场危机期间的信息和通信需求得到满足的程度,观察了公民遵守政府建议、居家令和强制封锁的模式,并评估了它们对抑制病毒在不同人群中传播的影响。该项目有两个核心目标:(1)提供可立即用于改善国家COVID-19应对措施的信息;(2)利用COVID-19数据了解人们如何适应和理解对其日常生活产生重要和直接影响的国家危机。我们依靠每天进行的大规模、滚动的全国调查,每天约有3000名受访者。我们还将调查数据与受访者的社交媒体行为联系起来。每天收集的大量样本提供了近乎实时的各州疾病跟踪,以及观察不同人口群体对政策反应的关键差异的能力。该设计将捕捉人们如何使用技术来工作、获取信息和保持联系,以及受访者在应对疫情时的经济困难、就业经历、养育子女和教育挑战。该奖项反映了美国国家科学基金会的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
英文摘要
This project seeks to improve the national response to the COVID-19 pandemic by launching large-scale data collection through a rolling national survey linked to individual social media data. We generate information useful to policymakers and local authorities and offer near-real-time state-by-state disease tracking. Our data allow officials to understand where the virus is currently spreading, facilitating improved allocation of resources. We also evaluate the networked nature of the disease, tracking its flow based on the reported social relationships of the survey participants and their social distancing behaviors. The project captures how well the information and communication needs of Americans are met during this crisis, observes patterns of citizen compliance with government recommendations, stay-at-home orders, and enforced lockdowns, and assesses their impact on suppressing the spread of the virus among diverse populations.The project has two core objectives: (1) producing information that will be immediately useful in improving the national response to COVID-19; and (2) using COVID-19 data to understand how people adapt to and make sense of a national crisis that has important and immediate ramifications for their daily lives. We rely on a large-scale, rolling national survey that is conducted on a daily basis, with approximately 3000 respondents per day. We also link the survey data to the social media behavior of respondents. The large sample sizes collected daily offers near-real-time state-by-state disease tracking, as well as the ability to observe key differences in responses to policies across demographic groups. The design will capture how people use technology to work, get informed, and stay connected, and respondents’ financial difficulties, employment experiences, and parenting and educational challenges in response to the pandemic.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.
期刊论文(3)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1177/1368430220985912
发表时间: 2021-06-01
期刊: GROUP PROCESSES & INTERGROUP RELATIONS
影响因子: 4.4
作者: [Druckman, James N., Ognyanova, Katherine, Simonson, Matthew]
通讯作者: Simonson, Matthew
Collaborative Research: State Health, Institutions, and Politics Survey (SHIPS)
  • 批准号:
    2241885
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.22万
  • 财政年份:
    2023
  • 负责人:
    Matthew Baum
  • 依托单位:
Collaborative Research: U.S. Institutions after COVID-19: Trust, accountability, and public perceptions
  • 批准号:
    2116458
  • 项目类别:
    Standard Grant
  • 资助金额:
    $12.82万
  • 财政年份:
    2021
  • 负责人:
    Matthew Baum
  • 依托单位:
Collaborative Research: A New Design for Identifying Persuasion Effects and Selection in Media Exposure Experiments via Patient Preference Trials
  • 批准号:
    1526953
  • 项目类别:
    Standard Grant
  • 资助金额:
    $6.17万
  • 财政年份:
    2015
  • 负责人:
    Matthew Baum
  • 依托单位:
海外基金