Thank goodness there’s finally a tool that can fight back against election misinformation and lies in a way that’s timely, clear, concise, and easily digestible by voters. This can really help lessen the damage caused by either ignorance or ne’er-do-wells.
Travis County, TX Clerk (retired)
“…The work itself is a creative and savvy combination of technical software engineering and a deep understanding of the context of elections, combining Stephanie’s unusual combination of scientific sophistication and concrete experience with election administration.”
Developed in partnership with a former Philadelphia Election Commissioner with funding from the National Science Foundation, ElectionShield uses state-of-the-art anomaly analysis to monitor election results in real time for irregularities warranting internal investigation.
At the push of a button, ElectionShield allows an administrator to run tens of thousands of automated reviews of the election canvass, and quickly spot outliers for staff awareness well before results are certified. This allows election administrators to catch mistakes — and even malfeasance. Federal convictions for election fraud have resulted from investigations prompted by ElectionShield.
ElectionShield accepts exports directly from your tabulation system. After configuration and upload, the system is entirely automated and results are available in under an hour.
ElectionShield has caught errors in results that conventional checks missed. This approach has also caught criminals: two recent federal convictions for election fraud are the result of an investigation sparked solely by this statistical methodology.
ElectionShield uses state-of-the-art anomaly analysis — based on cybersecurity research funded by the National Science Foundation — to monitor election results in real time for discrepancies warranting investigation.
We process millions of election results data points rapidly and provide a comprehensive and internal anomaly report. This process is safe and secure.
Our engineers use “Infrastructure as Code” technologies to auto-scale all compute resources.
