Explore a research presentation on assessing disparate coverage in mobility data for COVID-19 policy using administrative data for bias audits. Delve into the methodology, background, and analysis of confounding factors presented by researchers A. Coston, N. Guha, L. Lu, D. Ouyang, A. Chouldechova, and D. Ho at the FAccT 2021 virtual conference. Gain insights into the challenges and implications of leveraging administrative data to evaluate potential biases in mobility data used for pandemic-related policy decisions.
Leveraging Administrative Data for Bias Audits - Assessing Disparate Coverage with Mobility Data for COVID-19 Policy
Association for Computing Machinery (ACM) via YouTube
Overview
Syllabus
Introduction
Background
Confounding
Analysis
Conclusion
Taught by
ACM FAccT Conference