- COVID-19 is a contagious respiratory disease that is known to spread rapidly through person-to- person contact.
- As organizations, cities, and municipalities reopen, they will need data on the adherence to physical distancing to inform programs and policies to stop the spread of COVID-19.
- Poirot collects information about individuals’ physical interactions in a privacy-preserving manner using secure multiparty computation and differential privacy to provide actionable information to decision-makers and the individuals themselves.
- To ensure privacy, Poirot only displays aggregate statistics collected about the contact events to decision-makers and this information cannot be linked back to any individual.
BACKED BY GLOBAL HEALTH AND COMPUTER SCIENCE
Our team consists of a group of researchers at Duke University from the Computer Science Department and the Department of Family Medicine and Community Health and Duke Global Health Institute. It is also advised by an expert panel in global health.
Pediatric infectious diseases clinician, epidemiologist, vaccinologist, and global health researcher
POSTDOCS AND STUDENTS
Privacy and Security
Privacy and secure computation for databases
Privacy and applied cryptography
Fairness in differential privacy