Commentary on COVID-19 Contact Tracing Privacy Principles

Dazza Greenwood; Bryan Wilson; Ryan Carrier; Mark Potkewitz; Ajintha Pathmanathan; Nadia Diakun-Thibault; Cari Spivack; Matt Gee; Nishant Bhajaria; Kelsey Finch; Pagona Tsormatzoudi; Jonathan Askin; Tony Lai

Commentary on COVID-19 Contact Tracing Privacy Principles

Dazza Greenwood
, Bryan Wilson
, Ryan Carrier
, Mark Potkewitz
, Ajintha Pathmanathan
, Nadia Diakun-Thibault
, Cari Spivack
, Matt Gee
, Nishant Bhajaria
, Kelsey Finch
, Pagona Tsormatzoudi
, Jonathan Askin
, Tony Lai

Research output: Contribution to specialist publication › Article

Abstract

This document represents v0.3 of our model privacy principles for digital contact tracing applications and services that leverage personal individual location and proximity data to combat COVID-19.

Original language	English
Specialist publication	MIT Computational Law Report
Publication status	Published (in print/issue) - 14 Aug 2020

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

Keywords

COVID-19
privacy
law

Access to Document

https://law.mit.edu/pub/commentaryoncovid19contacttracingprivacyprinciples/release/1Licence: CC0

Cite this

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title = "Commentary on COVID-19 Contact Tracing Privacy Principles",

abstract = "This document represents v0.3 of our model privacy principles for digital contact tracing applications and services that leverage personal individual location and proximity data to combat COVID-19.",

keywords = "COVID-19, privacy, law",

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AU - Greenwood, Dazza

AU - Wilson, Bryan

AU - Carrier, Ryan

AU - Potkewitz, Mark

AU - Pathmanathan, Ajintha

AU - Diakun-Thibault, Nadia

AU - Spivack, Cari

AU - Gee, Matt

AU - Bhajaria, Nishant

AU - Finch, Kelsey

AU - Tsormatzoudi, Pagona

AU - Askin, Jonathan

AU - Lai, Tony

PY - 2020/8/14

Y1 - 2020/8/14

N2 - This document represents v0.3 of our model privacy principles for digital contact tracing applications and services that leverage personal individual location and proximity data to combat COVID-19.

AB - This document represents v0.3 of our model privacy principles for digital contact tracing applications and services that leverage personal individual location and proximity data to combat COVID-19.

KW - COVID-19

KW - privacy

KW - law

M3 - Article

JO - MIT Computational Law Report

JF - MIT Computational Law Report

ER -

Commentary on COVID-19 Contact Tracing Privacy Principles

Abstract

UN SDGs

Keywords

Access to Document

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Cite this