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Pathcheck
  • PathCheck: Privacy-Preserving Crowdsourcing for Citizen Engagement
  • Background
  • Problem
  • Stakeholders
  • Solution
    • The Three Step Process
    • How do we solve the grand challenge?
    • Unique parts of our solution
    • Core Technical Innovation
  • Testimonials
    • Academicians
    • Policymakers/States/Cities
    • Public
  • Privacy Preserved AI for HealthCare
    • Exposure Notification for Automated Contact Tracing (Download only solution)
    • Risk Calculator
    • Secure Multi-Party Computation
    • Differential Privacy
    • Federated and Split Learning
  • Solution Videos
  • The PathCheck Foundation
    • Our Team
    • Team Members
    • Accolades
  • Frequently Asked Questions (FAQs)
  • Our research papers and articles
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PathCheck: Privacy-Preserving Crowdsourcing for Citizen Engagement

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Last updated 3 years ago

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Crowdsourced citizen data can complement and connect incomplete and fragmented data that cripples pandemic responses. But, large-scale participation requires citizens’ trust and engagement. We solve this with a unique “NoPeek” privacy and personalization delivered with a free, open-source toolkit for governments and large institutions.

Frequently Asked Questions (FAQs)
LogoPathCheck Foundation | COVID-19 Technology & Research