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3/16/2018 Learning From the ‘Accidental Consequences’ of Student-Data-Privacy Laws – Market Brief https://marketbrief.edweek.org/analysts-view/learning-accidental-consequences-student-data-privacy-laws/ 1/6 Michele Molnar Associate Editor Analyst’s View March 16, 2018 Learn in g F ro m t he ‘A cci den ta l C on se q u en ce s’ o f S tu den t- D ata – P riv […]

3/16/2018 Learning From the ‘Accidental Consequences’ of Student-Data-Privacy Laws – Market Brief https://marketbrief.edweek.org/analysts-view/learning-accidental-consequences-student-data-privacy-laws/ 1/6 Michele Molnar Associate Editor Analyst’s View March 16, 2018 Learn in g F ro m t he ‘A cci den ta l C on se q u en ce s’ o f S tu den t- D ata – P riv […]

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 […]

FISA Reauthorization Heats Up Surveillance Debate As the December 31 deadline nears for the Foreign Intelligence Surveillance Act (FISA) Section 702 reauthorization, lawmakers are considering three competing bills – each with a different approach to renewal. The Act governs when and how the U.S. can spy on digital communications of foreign nationals, and has drawn […]

1 Appendix C: Model Benefit -Risk Analysis Step 1: Evaluate the I nformation the Dataset Contains Dataset: ___ ___________________________ Consider the following categories of information: o Direct Identifiers: These are data points that identify a person without additional information or by linking to other readily availabl e information. “Personally Identifiable Information,” or PII, often falls […]

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 ………………………….. ………………………….. […]

1 October 2, 2017 Dear Kelsey Finch, We are pleased to have the opportunity to provide comments on the Future of Privacy Forum proposed draft report for the City of Seattle Open Data Risk Assessment. Municipalities face significant challenges regarding the design and implementation of privacy -aware open data systems. A model risk assessment framework […]

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 […]

▶ ▶ ▶    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 […]