Submitted by: Roghaiyeh(Ramisa) Gachpaz Hamed

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Bio

I am a third year PhD student in Trinity College Dublin, Ireland studying
"Privacy Preserving Personalisation". My research uses an ontological
access control model as a baseline method for preserving users' privacy but
rather than just enforcing privacy policies through restricted access, my
research focuses on helping users in disclosing their personal data by
making them aware of the usage restrictions associated with the data. My
approach also helps them to understand the implications of their actions
and encourages transparency and accountability in how user's data is
collected and used.
Before starting my PhD, I worked as a research assistant in different
international research centers in Ireland, namely DERI (Insight Centre -
National University of Ireland- Galway) and CNGL (ADAPT Centre - Trinity
College Dublin). These positions gave me hands-on experience with Web
ontology languages (OWL), Semantic Web Rule Language (SWRL) and ontological
reasoners, such as Pellet, which I am using in my PhD research
practically.
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Nickname : Ramisa
Affiliations : ADAPT Research Centre - Trinity College Dublin
(https://www.adaptcentre.ie/)
LinkedIn :
https://www.linkedin.com/in/roghaiyeh-ramisa-gachpaz-hamed-32857733

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Your goals

The topics of the workshop align with my PhD research and my experience, so
my main goal in attending this workshop would be to discuss and share our
ideas and findings with other participants and to get their opinions and
feedback. 
Also, I would like to raise my awareness of on-going investigations and
their open and hot challenges as well as the new methods and techniques to
address them. 
I believe that having a chance to meet pioneers and young researchers of
the domain will help to sharpen my knowledge and will also be the great
opportunity for further collaboration.

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Workshop Goals

-To introduce  potential/ related  business - real life use cases and
scenarios for  privacy preserving systems
-To identify the evaluation methods for effectiveness and efficiency of
privacy control
-To creation & curation of data collection methods for privacy control
experiments
-To standardisation of various vocabularies used in different  involved 
research area of privacy control  

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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 6 ] 
 * Identity management vocabularies: [ Ranked 5 ] 
 * Modeling personal data usage, processing, sharing, and tracking: [ Ranked 2 ] 
 * Interlinking aspects of privacy and provenance: [ Ranked 9 ] 
 * Modeling consent and making it transportable: [ Ranked 7 ] 
 * New ways to put the user in control benefiting from semantic
   interoperability of policy information: [ Ranked 1 ] 
 * Modeling permissions, obligations, and their scope: [ Ranked 3 ] 
 * Reasoning about formally declared privacy policies: [ Ranked 4 ] 
 * 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 8 ] 

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Other Thoughts