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Privacy for the TLA (Closed)

Researching the foundations of privacy for future learning ecosystems.

Description

The PS4TLA project investigates user-tailored privacy to support Total Learning Architecture (TLA) users’ privacy decisions. The user-tailored privacy methodology accounts for the high variability and context-dependency of people’s privacy decisions by creating a personalized, context-dependent model of users’ privacy preferences, and then tailors users’ privacy settings to these modeled preferences. A summit will be held to develop an industry standard for user-tailored privacy, followed by a report with recommendations for privacy support for the TLA, and a draft specification for privacy support for the TLA.

Major Deliverables

  • TLA Privacy Specification (Versions 0.1/0.2/1.0) (Privacy Research)
  • Standard-setting summit, report, and webinar
  • Webinar on user-tailored privacy
  • Research prototype release

Publications

PS4TLA: Privacy Support for the Total Learning Architecture Volume 5 - Policy Requirements
Knijnenburg, B.P.; Ghaiumy Anaraky, R.; Bahirat, P; He, Y.; Namara, M.; Ash, E.; Johnson, A
2019, Clemson University

PS4TLA: Privacy Support for the Total Learning Architecture: Summit Report
Knijnenburg, B.P.; et al
2018

PS4TLA: Privacy Support for the Total Learning Architecture: Modeling Factors
Knijnenburg, B.P.; et al
2018

Death To The Privacy Calculus?
Knijnenburg, B.P.; Cherry, D.; Wilkinson, D.; Sivakumar, S.; Raybourn, E.; Sloan, H.
2017, SSRN Journal, Social Science Research Network

PS4TLA: Privacy Support for the Total Learning Architecture Operational Characteristics
Knijnenburg, B.P.; et al
2017