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David Lie

Biographic Data

ID6006002
NAMEDavid Lie
GIVEN NAMESDavid
FAMILY NAMELie
SIGNATURELIE D
AFFILIATIONSUniversity of Toronto
ORCID0000-0002-2000-6827
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS2
WORKS AS AUTHOR2
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2021
LATEST PUBLICATION YEAR2022
H-INDEX1
  • Automating accountability? Privacy policies, data transparency, and the third party problem

    David Lie, Lisa M Austin et al.•ARTICLE•University of Toronto Law Journal•2022

    We have a data transparency problem. Currently, one of the main mechanisms we have to understand data flows is through the self-reporting that organizations provide through privacy policies. These suffer from many well-known problems, problems that are becoming more acute with the increasing complexity of the data ecosystem and the role of third parties – the affiliates, partners, processors, ad agencies, analytic services, and data brokers invol…

  • Data Trusts and the Governance of Smart Environments

    Open Access•Lisa M Austin, Lisa Austin et al.•ARTICLE•Surveillance & Society•2021•Cited by: 2

    Data trusts are an increasingly popular proposal for managing complex data governance questions, although what they are remains contested. Sidewalk Labs proposed creating an “Urban Data Trust” as part of the Sidewalk Toronto “smart” redevelopment of a portion of Toronto’s waterfront. This part of its proposal was rejected before Sidewalk Labs cancelled the project. This research note briefly places the Urban Data Trust within the general debate r…

  • Data Trusts and the Governance of Smart Environments

    Open Access•Lisa M Austin, Lisa Austin et al.•ARTICLE•Surveillance & Society•2021•Cited by: 2

    Data trusts are an increasingly popular proposal for managing complex data governance questions, although what they are remains contested. Sidewalk Labs proposed creating an “Urban Data Trust” as part of the Sidewalk Toronto “smart” redevelopment of a portion of Toronto’s waterfront. This part of its proposal was rejected before Sidewalk Labs cancelled the project. This research note briefly places the Urban Data Trust within the general debate r…

  • Data Trusts and the Governance of Smart Environments

    Open Access•Lisa M Austin, Lisa Austin et al.•ARTICLE•Surveillance & Society•2021•Cited by: 2

    Data trusts are an increasingly popular proposal for managing complex data governance questions, although what they are remains contested. Sidewalk Labs proposed creating an “Urban Data Trust” as part of the Sidewalk Toronto “smart” redevelopment of a portion of Toronto’s waterfront. This part of its proposal was rejected before Sidewalk Labs cancelled the project. This research note briefly places the Urban Data Trust within the general debate r…

  • Automating accountability? Privacy policies, data transparency, and the third party problem

    David Lie, Lisa M Austin et al.•ARTICLE•University of Toronto Law Journal•2022

    We have a data transparency problem. Currently, one of the main mechanisms we have to understand data flows is through the self-reporting that organizations provide through privacy policies. These suffer from many well-known problems, problems that are becoming more acute with the increasing complexity of the data ecosystem and the role of third parties – the affiliates, partners, processors, ad agencies, analytic services, and data brokers invol…

Accountability (2 works) · Business (2 works) · Computer Science (2 works) · Computer security (2 works) · Law (2 works) · Law (2 works) · Political science (2 works) · Privacy, Security, and Data Protection (2 works) · Analytics (1 work) · Argument (complex analysis (1 work)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae