Protecting Elections with Data Science
Presents open-source data science tools designed to consolidate election results rapidly and detect reporting anomalies.
Summary
Data Science Applications in Election Verification
Applying data science and statistical analysis to precinct-level returns enables election officials and watchdog groups to verify reporting consistency and identify systemic anomalies.
Consolidating Multi-Jurisdictional Results
An open-source consolidation tool aggregates fragmented reporting feeds from disparate voting machines and county databases into standardized data structures for audit verification.
Public-Facing Election Verification Portals
Deploying transparent web dashboards allows independent researchers and the public to monitor vote consolidation in real time, building confidence in official election outcomes.
Related talks
Voting Village·29 min
John Odum
Examines cybersecurity challenges, SQL injection risks, and systemic vulnerabilities across state-level election management systems.
Voting Village·24 min
Philip B. Stark · Ran Xie
Demonstrates mathematical limitations showing that pre- and post-election logic and accuracy testing cannot prove ballot-marking devices did not alter votes.
Voting Village·1 min
Philip B. Stark
Provides introductory remarks and background context on statistician Philip Stark's voting security research.