Housing Precarity, Eviction, and Inequality in the Wake of COVID-19

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Key facts

  • Disease

    COVID-19
  • Funder

    C3.ai DTI
  • Principal Investigator

    Prof and Prof and Assis Prof Karen Chapple, Matthew Desmond, Joshua Blumenstock
  • Research Location

    United States of America
  • Lead Research Institution

    University of California-Berkeley, Princeton University
  • Research Priority Alignment

    N/A
  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Social impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

Ensuring housing security is vital to mitigating the spread of the COVID-19 virus and sustaining health, economic security, and family stability. This joint, interdisciplinary project will bring together academics and data scientists to track, analyze, and respond to pandemic-driven spikes in eviction and displacement risks. Doing so requires development of: 1) an innovative system for tracking real-time eviction filings after the outbreak; and 2) a housing precarity risk model using machine learning, to better analyze and predict areas at disproportionate risk of displacement in the wake of the COVID-19 pandemic. This project will provide major new sources of data and inform research and public policy regarding U.S. housing and inequality.