CAV Merged Presentation Slides 6-25-20
Digital Data Flows Masterclass # 7 : Connected and Autonomous Vehicles June 25, 2020 Future of Privacy Forum Our Mission Bridging the policymaker-industry-academic gap in privacy policy Developing privacy protections, ethical norms, & responsible business practices. Our Workstreams De-identification Smart Communities Mobility & Data Youth Privacy AI & Machine Learning Location & Ad Tech Internet […]
Commoditization of Data is the Problem, Not the Solution – Why Placing a Price Tag on Personal Information May Harm Rather Than Protect Consumer Privacy
This guest post is by Lokke Moerel, a Professor of Global ICT Law at Tilburg University and Senior of Counsel at Morrison & Foerster in Berlin, and Christine Lyon, partner at Morrison & Foerster in Palo Alto, California. To learn more about FPF in Europe, please visit https://fpf.org/eu. By Lokke Moerel and Christine Lyon[1] Friend and […]
PPPM 2020 Digest
PRIVACY PAPERS FOR POLICYMAKERS 2019 This material is based upon work supported by the National Science Foundation under Grant No. 1837413. Privacy Papers for Policymakers 2019 1 Februar y 6, 2020 We are pleased to introduce FPF’s tenth annual Privacy Papers for Policymakers. Each year, we invite privacy scholars and authors to submit scholarship for […]
Privacy Papers 2019: Spotlight on the Winning Authors
FPF recently announced the winners of the 10th Annual Privacy Papers for Policymakers (PPPM) Award. This Award recognizes leading privacy scholarship that is relevant to policymakers in the United States Congress, at U.S. federal agencies, and for data protection authorities abroad. From many nominated privacy-related papers published in the last year, five were selected by Finalist […]
FPF_2017_Form_990_Public_Inspection_Copy_Final
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? 732001 11-28-17 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 […]
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 […]
sopipa-guide_nov-4-2016
FPF Guide to Protecting Student Data Under SOPIPA: For K-12 School Administrators and Ed Tech Vendors November 2016 2 FPF Guide to Student Data Protection Under SOPIPA: For K-12 School Administrators and Ed Tech Vendors1 Introduction …………………………………………………………………………………………………………………………………………….. 4 Student Data Privacy – Background and Overview ………………………………………………………………………… 6 Parental Concerns ………………………………………………………………………………………………………………………………….. 7 Concerns About Third Parties […]
PolonetskyGratton_RTBFpaper_FINAL
Privacy above all other Fundamental Rights? Challenges with the Implementation of a Right to be Forgotten in Canada* Eloïse Gratton** and Jules Polonetsky* ** Executive Summary This paper explores whether importing a “right to be forgotten” (RTBF) that would allow individuals to stop data search engines or other third parties, from providing links to information […]
Big Data and Privacy Paper Collection
Solutions to many pressing economic and societal challenges lie in better understanding data. New tools for analyzing disparate information sets, called Big Data, have revolutionized our ability to find signals amongst the noise. Big Data techniques hold promise for b reakthroughs ranging from better health care, a cleaner environment, safer cities, and more effective marketing. […]
SOCIAL – Selinger & Hartzog – Big Data in Small Hands
Big Data in Small Hands W o o d r o w H a r t z o g * a n d E v a n S e l i n g e r ** “Big data” can be defined as a problem -solving philosophy that leverages massive data sets and algorithmic analysis to […]