There will be a C3.ai Digital Transformation Institute Colloquium on Digital Transformation Science webinar on Thursday, December 10 at 3:00 p.m. U.S. Central Time. Presenting "Housing Precarity, Eviction, and Inequality in the Wake of COVID-19" will be Karen Chapple, from the University of California, Berkeley.
Abstract: COVID-19 has the potential to exacerbate a severe housing and economic crisis in the United States, which will in turn undercut public health responses to the pandemic. Ensuring housing security is vital to mitigating the spread of the virus and sustaining health, economic security, and family stability. This joint, interdisciplinary project between the University of California, Berkeley and Princeton University brings together a group of academics and data scientists to track, analyze, and respond to pandemic-driven spikes in eviction and displacement risks. Doing so requires two central elements, both of which rely heavily on data science tools and methodologies. First, we have developed the Eviction Tracking System, an innovative tool for tracking real-time eviction filings in more than a dozen cities across the U.S. Second, we have developed a housing precarity risk model using machine learning that allows us to better analyze and predict areas at disproportionate risk of eviction, displacement, unemployment, and infection in the wake of the COVID-19 pandemic. This project provides major new sources of data that serve to inform research and public policy regarding housing and inequality in America.
