Stanford and Carnegie Mellon find race and age bias in mobility data that drives COVID-19 policy

Venture Beat | Nov 18, 2020 at 7:15 PM
  • Smartphone-based mobility data has played a major role in responses to the pandemic.
  • If certain races or age groups are not well-represented in the data used to inform policy-making, there’s risk of enacting policies that fail to help those at greatest risk, the Stanford and Carnegie Mellon researchers assert.
  • The coauthors looked at 2018 voter turnout data in records from U.S. authorities, aiming to see whether SafeGraph coverage of voters at poll locations varied with those voters’ demographics.