A major contributor to this article appears to have a close connection with its subject. (June 2020)
|Formation||February 19, 2020|
|Founded at||Stanford, CA|
|Products||COVID-19 app solution using GAEN or TCN Protocols|
Covid Watch was an open source nonprofit founded in February 2020 with the mission of building mobile technology to fight the COVID-19 pandemic while defending digital privacy. The Covid Watch founders became concerned about emerging, mass surveillance-enabling digital contact tracing technology and started the project to help preserve civil liberties during the pandemic.
Covid Watch began as an independent research collaboration between students at Stanford University, United States and the University of Waterloo, Canada and it was the first team in the world to publish a white paper, develop, and open source a fully anonymous Bluetooth exposure alert protocol - the CEN Protocol, later renamed the TCN Protocol - in collaboration with CoEpi in early March 2020. This was followed by the rapid development of very similar decentralized protocols in early April 2020 like DP-3T, PACT, and Google/Apple Exposure Notification.
The Covid Watch team had over 200 active volunteers from around the world including advisers in public health, epidemiology, privacy, policy, and law from universities like Stanford, Waterloo, UW, UCSF, and Berkeley.
Covid Watch also built a fully open source mobile app for sending anonymous exposure alerts first using their own TCN Protocol in April 2020 and later using the nearly identical protocol within the Google/Apple exposure notification (GAEN) framework when the GAEN APIs were released in May 2020. Also in May 2020, Covid Watch launched the first calibration and beta testing pilot of the GAEN APIs in the United States at the University of Arizona.
In August 2020, the app launched publicly for a phased roll-out in the state of Arizona. Covid Watch volunteers and staff also collaborated with the University of Arizona on research to improve the estimation of infection risk from anonymous Bluetooth data to better inform private quarantine recommendations.
At the end of 2020, the Covid Watch nonprofit closed, but the Covid Watch app and related open source technologies continue to be implemented for public health departments by the WeHealth organization.
As the pandemic began its outbreak in North America, on February 19, 2020, Stanford University PhD candidate and DOE CSGF Fellow Tina White made a public Effective Altruism (EA) forum post about researching smartphone technology like GPS to alert people privately of COVID-19 exposure. This post got the attention of James Petrie at University of Waterloo who had started writing an academic paper on Overleaf on February 7, 2020, exploring private, decentralized methods using MAC addresses. The two researchers began the research collaboration between Stanford and Waterloo, which formed into the nonprofit Covid Watch.
Anonymous, decentralized Bluetooth exposure alerts first publicly appeared on March 2, 2020, when CW's James Petrie posted a PDF describing the privacy model in CW public slack channels, shared with researchers and collaborators worldwide. Covid Watch's description of the technology and procedure for anonymous exposure alerts was shared widely on social media and on the original Covid Watch blog written by Rhys Fenwick. On March 10, 2020, Tina White reached out to Apple engineers to describe BLE anonymous contact tracing technology and background issues on iOS.
Covid Watch developer Zsombor Szabo built the first open source, decentralized, anonymous exposure alert protocol called the CEN Protocol. On March 12, 2020, Zsombor Szabo pushed his first commit to GitHub, laying the foundations of the CW app, completing a proof of concept on March 17 and sharing the video of the working technology on YouTube. Finally, on March 20, 2020, the CW team published a White Paper describing the CEN / TCN protocol.
Tina White presented the technology at Stanford HAI's COVID-19 and AI virtual conference on April 1. After that, Covid Watch began receiving significant news coverage. Covid Watch then helped other groups like the TCN Coalition and MIT SafePaths implement the TCN Protocol within their open source projects to further the development of decentralized technology and foster global interoperability of contact tracing and exposure alerting apps, a key aspect of achieving widespread adoption.
In early April, three other teams publish decentralized, anonymous Bluetooth protocols. On April 3, 2020, the first DP^3T white paper commit is published along with its first commit on GitHub. On April 6, Henry de Valence of the Zcash Foundation publishes a comparison of CEN/TCN with the new white paper proposal from DP^3T.  On April 9, 2020, the MIT PACT protocol spec authored by Rob Rivest, Ramesh Raskar, Vanessa Teague, and many more cited CW and DP^3T and Nicky Case published a comic describing how the CW and DP^3T Protocols work. Finally, after CW and CoEpi published their reference implementation CEN (TCN) protocol and along with several other teams communicated to Apple the issues they faced regarding a successful exposure notification app, Apple and Google announced their contact tracing API on April 10, 2020.
On April 28, 2020, CW implemented the TCN protocol in a fully functional anonymous exposure alert app with Android bridging, first available in Apple TestFlight via the Stanford App Store. In May 2020, Covid Watch launched the first calibration and beta testing pilot of the GAEN protocol in the United States at the University of Arizona.
- "Covid Watch". Covid Watch. 2020-02-19. Retrieved 2020-06-02.
- "COVID-19 Risk Assessment App Idea for Vetting and Discussion". EA Forum. Retrieved 2020-02-19.
- "Tina White". Professional Website. Retrieved 2020-02-19.
- "Covid Watch About Page". Covid Watch. 2020-06-02. Retrieved 2020-06-02.
- University, Stanford (2020-04-09). "Stanford researchers help develop privacy-focused coronavirus alert app". Stanford News. Retrieved 2020-04-09.
- CSGF, DOE (2020-03-31). "Fellow Working to Devise COVID-19 Alert Application". DOE Computational Science Graduate Fellowship. Retrieved 2020-03-31.
- Waterloo, University of (2020-04-20). "Coming into contact with COVID". Waterloo Stories. Retrieved 2020-04-20.
- "Covid Watch". Covid Watch. 2020-03-20. Retrieved 2020-03-20.
- "Covid Watch White Paper". Covid Watch. 2020-03-20. Retrieved 2020-03-20.
- "First implementation of anonymous exposure alert protocol". GitHub. Retrieved 2020-03-17.[dead link]
- "Covid Watch iOS TCN Testflight App". Apple TestFlight. 2020-03-17. Retrieved 2020-03-17.
- "Covid Watch Github". Github. 2020-03-17. Retrieved 2020-03-17.
- "CoEpi website". CoEpi. 2020-03-17. Retrieved 2020-03-17.
- "The PACT protocol specification" (PDF). PACT MIT. 2020-04-08. Retrieved 2020-04-08.
- "Covid Watch Team Page". Covid Watch. 2020-06-02. Archived from the original on 2020-11-26. Retrieved 2020-06-02.
- "Covid Watch open source iOS TCN app". Github. 2020-03-17. Retrieved 2020-03-17.
- "Covid Watch iOS G/A EN Github Repo". Github. 2020-06-02. Retrieved 2020-06-02.
- "Covid Watch Github Repo". Github. 2020-03-07. Retrieved 2020-03-07.
- "UA testing app to trace COVID-19 cases on campus". KOLD News 13. 2020-05-28. Retrieved 2020-05-28.
- "Online apps likely to play a big role in rebooting UA campus for fall semester". Github. 2020-05-28. Retrieved 2020-05-28.
- "UArizona and Covid Watch Launch COVID-19 Exposure Notification App". University of Arizona News. 2020-08-18. Retrieved 2020-08-20.
- "Covid Watch Arizona". App Store. Retrieved 2020-08-20.
- "Covid Watch Arizona - Apps on Google Play". play.google.com. Retrieved 2020-08-20.
- Wilson, Amanda M.; Aviles, Nathan; Petrie, James I.; Beamer, Paloma I.; Szabo, Zsombor; Xie, Michelle; McIllece, Janet; Chen, Yijie; Son, Young‐Jun; Halai, Sameer; White, Tina; Ernst, Kacey C.; Masel, Joanna (2021). "Quantifying SARS‐CoV‐2 Infection Risk within the Google/Apple Exposure Notification Framework to Inform Quarantine Recommendations". Risk Analysis. 42 (1): 162–176. doi:10.1111/risa.13768. PMC 8447042. PMID 34155669. S2CID 220627870.
- "WeHealth". WeHealth. 2021-06-29. Retrieved 2021-06-29.
- "COVID-19 Risk Assessment App Idea for Vetting and Discussion - EA Forum". forum.effectivealtruism.org. Retrieved 2020-06-24.
- "Optimal Quarantine". www.overleaf.com. Retrieved 2020-06-24.[permanent dead link]
- "ContactTracingUsingSecretNumbers.pdf". www.slack.com. Retrieved 2020-06-24.
- "Public Facebook Post". Facebook. Retrieved 2020-03-05.
- "Covid Watch Bluetooth Primer Blog Post". Internet Archive. 2020-03-07. Archived from the original on 2020-04-10. Retrieved 2020-03-07.
- "One victim of COVID-19 pandemic may be privacy rights". JapanTimes. 2020-03-31. Retrieved 2020-03-31.
- "What privacy-preserving coronavirus tracing apps need to succeed". VentureBeat. 2020-04-13. Retrieved 2020-04-18.
- Shendruk, Amrita Khalid, Amanda. "How Bluetooth could bring digital contact tracing for Covid-19 to billions". Quartz. Retrieved 2020-04-19.
- "First commit · covid19risk/covidwatch-ios@f6068b9". GitHub. Retrieved 2020-06-24.[dead link]
- "Covid Watch Demo 3 Devices". YouTube. Retrieved 2020-06-24.
- White, Tina (June 24, 2020). "Covid Watch White Paper" (PDF). Covid Watch. Archived (PDF) from the original on 2020-06-26.
- "Covid Watch White Paper on Internet Archive". 2020-03-29. Archived from the original on 2020-03-29. Retrieved 2020-06-24.
- "Stanford HAI COVID-19 and AI Virtual Conference". Stanford HAI. 2020-04-01. Retrieved 2020-04-01.
- "Tracking COVID-19 Using Crowdsourced Data: Tina White". Stanford HAI. 2020-04-01. Retrieved 2020-04-01.
- "Surveillance, AI, and saving lives top agenda at coronavirus conference". Stanford HAI. 2020-04-02. Retrieved 2020-04-02.
- "Covid Watch News Coverage". Covid Watch. 2020-06-02. Retrieved 2020-06-02.
- "Bluetooth signals from your smartphone could automate Covid-19 contact tracing while preserving privacy". MIT News. 2020-04-08. Retrieved 2020-04-08.
- "Initial TCN Coalition commit · TCNCoalition/TCN@1b68b92". GitHub. Retrieved 2020-04-18.
- "DP-3T/documents". GitHub. Retrieved 2020-06-24.
- "Private Contact Tracing Protocols Compared: DP-3T and CEN". Zcash Foundation. 2020-04-06.
- Rivest, Ron. "MIT PACT" (PDF). Archived (PDF) from the original on 2020-04-09.
- Case, Nicky. "Comic". ncase.me. Archived from the original on 2020-04-09.
- "Add CEN protocol implementation · covid19risk/covidwatch-ios@e79403f". GitHub. Retrieved 2020-06-24.[dead link]
- "Apple and Google's Contact Tracing API". Archived from the original on 2020-04-10.
- "Join the Covid Watch beta". testflight.apple.com. Retrieved 2020-06-24.