Submitted by: Jason Novak

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Bio

I am a Privacy Analysis engineer in the User Privacy group at Apple, Inc.
where I work to understand the intersection of privacy and technology,
including how users understand privacy, ensuring Apple's strict privacy
protections are maintained and strengthened across its product range, and
assessing external risks for user privacy.  As part of this work I work
with standards groups like the W3C in PING and TPWG to enhance privacy in
standards.  I previously managed the company's Privacy Engineering team
where I worked with engineering teams to build features with privacy by
design.

Prior to Apple, I was an Assistant Director of Digital Forensics at Stroz
Friedberg, LLC, where he was responsible for: supervising digital forensic
examiners; analyzing apps and systems for their privacy impact; and
providing expert testimony.  Jason 

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Your goals

In conversation with engineers, technologists, product marketing, legal
teams, and other stakeholders, it is common for different people to say the
same words but mean radically different things when it comes to privacy.  A
goal that I have in attending this workshop is to help develop a common
language of privacy that can be used by industry to better define the
privacy problems users face and develop solutions that integrate technology
and privacy's many facets including regulatory requirements and legal
jurisprudence.

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Workshop Goals

For the workshop to be productive, I think that it should focus on delivery
a definition of private data and how it can be modeled to effectively
assess privacy harm and shape both technologies and regulation of that
technology effectively.

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Your interests

Please select the rank-order (1 to 10) for the options
you think are acceptable (i.e.  you can 
live with it), where 1  is the most preferred, 2 the next best and so on...

 * Vocabularies to model privacy policies, regulations, and involved
   (business) processes: [ Ranked 3 ] 
 * Identity management vocabularies: [ Ranked 7 ] 
 * Modeling personal data usage, processing, sharing, and tracking: [ Ranked 1 ] 
 * Interlinking aspects of privacy and provenance: [ Ranked 9 ] 
 * Modeling consent and making it transportable: [ Ranked 8 ] 
 * New ways to put the user in control benefiting from semantic
   interoperability of policy information: [ Ranked 4 ] 
 * Modeling permissions, obligations, and their scope: [ Ranked 6 ] 
 * Reasoning about formally declared privacy policies: [ Ranked 5 ] 
 * Exploring links and synergies using Linked Data vocabularies in the
   context of related efforts: [ Ranked 10 ] 
 * Visualizations of data and policy information to help data self
   determination: [ Ranked 2 ] 

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Other Thoughts