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01/10/201 8 (v2.0) Page 1 of 4 Future of Privacy Forum www.smartstoreprivacy.com Mobile Location Analytics Code of Conduct Preamble Mobile Location Analytics (MLA) provides technological solutions for Retailers by developing aggregate reports used to reduce waiting times at check – out, to optimize store layouts and to understand consumer shopping patterns. The reports are generated […]

1 Processing Personal D ata on the Basis of Legitimate Interests under the GDPR PRACTICAL CASES The Future of Privacy Forum and Nymity would like to thank Gabriela Zanfir -Fortuna (Policy Counsel, FPF) and Teresa Troester -Falk (Chief Global Privacy Strategist, Nymity) for authoring this paper and Me aghan McCluskey (Director, Compliance Research, Nymity) principal […]

1 Processing Personal D ata on the Basis of Legitimate Interests under the GDPR PRACTICAL CASES The Future of Privacy Forum and Nymity would like to thank Gabriela Zanfir -Fortuna (Policy Counsel, FPF) and Teresa Troester -Falk (Chief Global Privacy Strategist, Nymity) for authoring this paper and Me aghan McCluskey (Director, Compliance Research, Nymity) principal […]

PRIVACY PAPERS FOR POLICYMAKERS 2017 This material is based upon work supported by the National Science Foundation under Grant No. 1654085. Privacy Papers for Policymakers 2017 1 February 27, 2018 We are pleased to introduce FPF’s eighth annual Privacy Papers for Policymakers. Each year, we invite privacy scholars and authors with an interest in privacy […]

PRIVACY PAPERS FOR POLICYMAKERS 2017 Privacy Papers for Policymakers 2017 1 February 27, 2018 We are pleased to introduce FPF’s eighth annual Privacy Papers for Policymakers. Each year, we invite privacy scholars and authors with an interest in privacy issues to submit scholarship to be considered by members of our Advisory Board. A committee of […]

City of Se a ttle Open Data Risk Assessment JANUARY 2018 – FINAL REPORT 2 Table of Contents Executive Summary ………………………….. ………………………….. ………………………….. ………………………….. …… 3 Background ………………………….. ………………………….. ………………………….. ………………………….. ………………. 6 Open Data Privacy Risks ………………………….. ………………………….. ………………………….. …………………………. 7 Re-identification ………………………….. ………………………….. ………………………….. ………………………….. … 7 Data Quality and Equity ………………………….. ………………………….. […]

De – Identification 101 FPF Working Group Session Oct. 11, 2017 Our Presenters Daniel Barth -Jones Assistant Professor of Clinical Epidemiology, Columbia University Mike Hintze Partner Hintze Law PLLC Amelia Vance [email protected] Kelsey Finch [email protected] An Overview of De – Identification Law & Policy M i ke H i n t ze Pa r t […]

Data Privacy and Transparency Working to get the good word out about education data privacy in the Mountain State Privacy Foundations • FERPA • WVBE Policies 4350 and 2460 • Student DATA Act • WVDE Data Access & Management Guidance • Employee handbooks and policies • Data g overnance processes and structures Nothing to Hide […]

▶ ▶ ▶    Internet Access Here Sign by steverhode (Flikr ) Children at school by lupuca (Flikr )  Applies to 95% of schools (all schools that receive E -rate funds)  Requires some filtering and monitoring  Often criticized as incentivizing over – filtering Typing on a Laptop by danielfoster (Flikr […]