Pretty Simple Data Privacy isn’t a company or a project. Rather, it is the idea that we’ve made personal data privacy too complicated and granular. Rather than get deeper and deeper into algorithmic approaches, we should be providing users a very simple set of choices about their data and a easy interface to mark their data as usable, off limits, or negotiable.
Most privacy choices come down to Yes, No, and Maybe. Many users are willing to let their personal data be used in a research context, or if they get something back in return for their data. Many want the right to say no if they don’t like or understand the terms. And many are willing to negotiate for the vast majority of questions that fall in between. PSDP ties together privacy and policy issues explored in existing projects to standardize informed consent, create iconic representations of privacy policies, and move towards a world where users manage the way their vendors use their data.
The session specifically builds on the experience of the Consent to Research project in personalized genomics, quantified self, and other personally identifiable data projects.
Kaitlin is the director of the Mozilla Science Lab, a new open science initative at Mozilla to help researchers use the power of the web to change science’s future. She’s previously worked at Digital Science, a technology company out of Macmillan Publishers, as well as Creative Commons, where she managed their science program. She also advises the UK government on digital technology and data-intensive science and business, and is on the board of DataKind UK. You can follow her at @kaythaney.
Betsy Masiello is a Policy Manager on Google’s public policy team. As part of her work at Google she is one of the leads for Google’s privacy efforts and for analyzing Google’s and the Internet’s impact on the economy. Prior to joining Google she was a consultant at McKinsey & Company, where she served global telecommunications companies on new business strategies around emerging technology. Masiello holds a BA in Computer Science from Wellesley College, a MSc in Economics from Oxford where she was a Rhodes Scholar, and an SM from MIT’s Technology & Policy Program.
John Wilbanks works on open content, open data, and open innovation systems. He is a Senior Fellow at the Kauffman Foundation and a Research Fellow at Lybba. He’s worked at Harvard Law School, MIT’s Computer Science and Artificial Intelligence Laboratory, the World Wide Web Consortium, the US House of Representatives, and Creative Commons, as well as starting a bioinformatics company. He sits on the Board of Directors for Sage Bionetworks, iCommons, and 1DegreeBio, and the Advisory Board for Boundless Learning. John holds a degree in philosophy from Tulane University and also studied modern letters at the University of Paris (La Sorbonne).
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