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Privacy preserving COVID-19 Self-reporting

MATCH ROUND 6

0 DAI

MATCH ESTIMATE

ROUND

5 DAI
1 contributors

Description

{"ops":[{"insert":"This grant supports work on a privacy-preserving voluntary COVID-19 self-reporting platform for contact tracing. Users can share (encrypted) location history and test status, and learn if they have been in proximity to higher risk locations. \n\nSocial contact tracing based on mobile phone data has been used to track and mitigate the spread of COVID-19. However, this is a significant privacy risk, and sharing this data may disproportionately affect at-risk populations, who could be subject to discrimination and targeting. In certain countries, obtaining this data en masse is not legally viable.\n\nWe propose a privacy-preserving, voluntary self-reporting system for sharing detailed location data amongst individuals and organizations. Users will be able to encrypt and share complete location history, and their current status (positive, negative, unknown). Users will be able to update their status if it changes. This system will compute on shared, aggregate data and return location-based social contact analytics.\n"}]}

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