Submitted by: Martin Kurze (Director Research & Innovation Deutsche Telekom, T-Labs) --------------------------------- Bio Martin Kurze holds a PhD in computer science and currently works as director research & innovation at T-Labs, Deutsche Telekom AG (DT). The work he lead here (at T-Labs) has a strong focus on privacy and privacy preserving technologies, in particular software stacks, (mobile) operating systems and devices. In Firefox OS (a mobile operating system developed with Mozilla), he lead DTs code contributions (2012 to 2014) that focused very much on unique privacy preservation technologies. 2015 and 2016, Martin Kurze designed and implemented an academic course program “Privacy & Security in Telecommunications) for the university of applied science in telecommunications (HfTL) in Leipzig. Since 2017 he is responsible for DT’s contribution and participation in the “SPECIAL” project on privacy and big data. Also he co-authored a study on tracking technologies and tracking prevention in 2017. --------------------------------- Your goals Understand, discuss and optionally influence the definition of terms used in privacy technologies and papers. Having taught respective courses in the university, I am in desperate need for a clear wording and well defined vocabulary to enable a productive communication on the topic. Dealing with developers , product managers and decision makers in the telco industry almost every day, I am sick of explaining the meanings of terms that we all use when discussing privacy issues and opportunities. I'd rather refer to a reference (dictionary?) that could be established after the workshop. --------------------------------- Workshop Goals List of terms (words/phrases) to be defined Methods and general rules on how to define those terms some technical implications for the developer implementing privacy relevant applications and services. --------------------------------- 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 1 ] * Identity management vocabularies: [ Ranked 3 ] * Modeling personal data usage, processing, sharing, and tracking: [ Ranked 2 ] * Interlinking aspects of privacy and provenance: [ Ranked 4 ] * Modeling consent and making it transportable: [ Ranked 2 ] * New ways to put the user in control benefiting from semantic interoperability of policy information: [ Ranked 2 ] * Modeling permissions, obligations, and their scope: [ Ranked 3 ] * Reasoning about formally declared privacy policies: [ Ranked 3 ] * Exploring links and synergies using Linked Data vocabularies in the context of related efforts: [ Ranked 4 ] * Visualizations of data and policy information to help data self determination: [ Ranked 2 ] --------------------------------- Other Thoughts Inter-cultural and multi-cultural thougts and standards: Recent history and personal experience shows that privacy and its different aspects are rated differently in different culture. I particular the diference between western/European views and Asian/Chinese standards and plans show a possible challenge. Comig from a European background, I consider the role and treatment of privacy in some (Asian) countries as inadequate. However, I think it is inevitable that the workshop (or follow-up activities) includes/consiers/mentions “the Chinese view” to privacy and the respective terminology and vocabulary .