Modern privacy

WPF participant in Designing our Digital Society Workshop, Pacific Northwest College of Art

Pam Dixon will be participating in a special Workshop at the Pacific Northwest College of Art, “Designing our Digital Society.” The Workshop is open to the public, and will be held from 4pm-7 pm Tuesday, April 25, 2017. The Workshop will be held at the Pacific Northwest College of Art, in the famed “511 Building,”

Op Ed on Employer-Sponsored Wellness Programs

Today The Guardian published an op-ed I wrote about employer-sponsored wellness programs. You can find that op-ed here. I have researched and written about HIPAA, health plans, wellness, predictive analytics, and big data for years now. A lot of my work coalesced together when Robert Gellman and I researched and wrote the Scoring of America

WPF to present domestic violence privacy and safety training workshop this week

WPF Executive Director Pam Dixon will be presenting a two hour technology and privacy training at the National Network to End Domestic Violence Tech Summit. The training will be geared to professionals who work with survivors of domestic violence, stalking, and related issues. The workshop will cover the key emerging aspects of social media safety

WPF News: Scoring of America report in NYT, White House report

We are delighted that our 2014 report, The Scoring of America, was discussed in the New York Times over the weekend. The Scoring of America was the first major report to discuss, analyze, and rigorously document the secret scores that determine many key aspects of Americans’ financial, educational, health, and work lives and opportunities. We

Public comments: WPF urges FTC to focus on providing statistical parity for consumers (Big Data workshop)

WPF urges FTC to focus on consumers’  ability to control their digital exhaust and statistical parity for big data era At the FTC workshop on Big Data September 15, Big Data: Tool for Inclusion or Exclusion?, panelists including the World Privacy Forum discussed legal and ethical frameworks that are applicable to large datasets and issues