Slides 09-29-2017
Future of Privacy Forum Higher Education Working Group GLBA Safeguards Rule Dean Forbes Counsel September 29, 2017 Agenda • Introductions • Department of Education Publications on Protecting Student Information • GLBA Privacy and Safeguards Rules • FTC Orders and NIST • Questions and Discussion 2 Presenter Dean C. Forbes Counsel Washington, D.C. 1.202.736.8165 [email protected] Education: […]
Notes 09-29-2017
1 of 10 Higher Ed Student Privacy Working Group Meeting Notes Friday, September 29, 2017 11:30am -12:30pm Topic: Gramm -Leach -Bliley Act (GLBA) Safeguards and Upcoming Higher Ed Audits Dean Forbes (Sidley) on GLBA Safeguards Department of Education Publications on Protecting Student Information The DOE has issued a couple of publication on protecting student information. […]
Roundtable Discussion: Smart Cities and Open Data (2017 MetroLab Network Annual Summit)
The Smart Cities and Open Data movements promise to use data to spark civic innovation and engagement, promote inclusivity, and transform modern communities. At the same time, advances in sensor technology, re-identification science, and Big Data analytics have challenged cities and their partners to construct effective safeguards for the collection, use, sharing, and disposal of personal information.
The Top 10: Student Privacy News (October-November 2017)
The Future of Privacy Forum tracks student privacy news very closely, and shares relevant news stories with our newsletter subscribers. Approximately every month, we post “The Top 10,” a blog with our top student privacy stories.
Future-of-Privacy-Forum-2016-990-Public-Inspection-Copy_FinalA
Checkifself-employed OMB No. 1545-0047 Department of the TreasuryInternal Revenue Service Check ifapplicable: AddresschangeNamechangeInitialreturnFinalreturn/termin-ated Gross receipts $ AmendedreturnApplica-tionpending Are all subordinates included? 632001 11-11-16 Beginning of Current Year Paid Preparer Use Only Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except private foundations) | Do not enter social security numbers on this form […]
FPF-Education-and-Innovation-Foundation-2016-990-Public-Inspection-Copy_FinalA
Checkifself-employed OMB No. 1545-0047 Department of the TreasuryInternal Revenue Service Check ifapplicable: AddresschangeNamechangeInitialreturnFinalreturn/termin-ated Gross receipts $ AmendedreturnApplica-tionpending Are all subordinates included? 632001 11-11-16 Beginning of Current Year Paid Preparer Use Only Under section 501(c), 527, or 4947(a)(1) of the Internal Revenue Code (except private foundations) | Do not enter social security numbers on this form […]
Reduction Framework for Algorithmic Accountability over Personal Information
B RUSSELS P RIVACY S YMPOSIUM AI ETHICS: THE PRIVACY CHALLENGE November 6, 2017 • Vrije University Brussel Rome and Lisbon Conference Room Institute of European Studies, Pleinlaan 5, 1050, Brussel, Belgium Abstracts Reduction Framework for Algorithmic Accountability over Personal Information Authors: Micah Altman 1, Alexandra Wood 2, and Effy Vayena 3 Artificial intelligence and […]
Ad Tech & Ed Tech Legal Frameworks Notes 07-27-2017
1 of 19 Ad Tech & Ed Tech Call 2 : Legal Frameworks Wednesday , July 27 , 2017 Time: 3:00pm -4:30 pm Table of Contents Sara Kloek (U.S. Department of Education) on Advertisements and FERPA ………………….. 3 USED Regulatory Frameworks ………………………….. ………………………….. ………………………….. .. 3 FERPA ………………………….. ………………………….. ………………………….. ………………………….. …….. 3 FERPA and […]
Upcoming Future of Privacy Forum Events
In the coming months, FPF will be hosting or co-hosting a number of events. We welcome your attendance and participation. Please contact us at [email protected] for further information.
FPF Seattle Open Data Report_Proposed Draft (August 2017)
City of Se a ttle Open Data Risk Assessment AUGUST 2017 – PROPOSED DRAFT REPORT 2 DRAFT REPORT: Table of Contents DRAFT REPORT: Executive Summary ………………………….. ………………………….. ………………………….. ……….. 3 Background ………………………….. ………………………….. ………………………….. ………………………….. ………………. 5 Open Data Privacy Risks ………………………….. ………………………….. ………………………….. …………………………. 6 Re -identification ………………………….. ………………………….. ………………………….. ………………………….. … 6 Data […]