About the Project
visuAAL is a four-year (2020-2024) Marie Skłodowska-Curie Actions Innovative Training Network, funded by the European Union, that aims at bridging the knowledge gap between users’ requirements and the appropriate and secure use of video-based AAL technologies to deliver effective and supportive care to older adults managing their health and wellbeing.
visuAAL will seek to increase awareness and understanding of the context-specific ethical, legal, privacy and societal issues necessary to implement visual system across hospital, home and community settings, in a manner that protects and reassures users; outputs will stimulate the development of a new research perspective for constructively addressing privacy-aware video-based working solutions for assisted living.
visuAAL will provide a transdisciplinary and cross-sectoral combination of training, nonacademic placements, courses and workshops on scientific and complementary skills to 15 high achieving Early Stage Researchers (ESRs). These newly hired ESRs will contribute through their individual research projects to fulfil visuAAL's aims.
visuAAL brings together 5 universities:
• Chair of Communication Science, Human-Computer Interaction Center, RWTH Aachen University, Germany
• The Swedish Law and Informatics Research Institute (IRI), Stockholm University, Sweden
• The Trinity Centre for Practice and Healthcare Innovation, School of Nursing and Midwifery, Trinity College Dublin, Ireland
• Computer Vision Lab, TU Wien, Austria
• Department of Computing Technology, Universidad de Alicante, Spain (Project Coordinator)
This Consortium is complemented by 14 partner organizations from Austria, Germany, Ireland, Italy, Portugal, Spain, Sweden, and United Kingdom; that will contribute to the research and training activities.
For more information about visuAAL, see https://www.visuaal-itn.eu/
Project title:
"Digital twins" as a way to help insure legal compliance of video-based AAL technologies
Objectives:
The General Data Protection Regulation (GDPR) offers strong protection for the individuals’ integrity. At the same time, video-based AAL technologies present serious privacy concerns that threaten the long-term sustainability of these products. One way to speed up the implementation of important research within the context of AAL technologies is to simulate data in digital twins [here, agent based modelling should also be a powerful tool], thus helping to solve key future issues without compromising individual integrity. Investigating opportunities to carry out important research without having to use personal data, but instead data on "computer generated agents" or other simulations is the focus of this project.
Expected Results:
This doctoral thesis will contribute to the current body of knowledge surrounding the approaches to anonymization in the context of data
protection, particularly where it concerns highly sensitive data like health data. It will offer a possible solution to avoiding complex data protection rules through the application of “digital twins.”
Supervisory Committee:
• Main Supervisor: Prof. C. Magnusson-Sjöberg (Stockholm University)
• Second Supervisor: Dr F. Florez (University of Alicante)
• Co-Supervisor: Ass. Prof L. Colonna (Stockholm University)
• Advisor: J. Eriksson Lundström (RINFO)
Planned secondment(s):
• Secondment 1: UA (Supervisor: Dr F. Florez) – M17-M19: Training and research on visual privacy protection
• Secondment 2: RINFO (Supervisor: Dr J. Eriksson Lundström, and will be assigned to one of the organisations connected to RINFO that is best suited for the project) – M33-M35: case study examination
Enrolment in Doctoral degree(s):
Doctoral Programme in Law Science, Stockholm University
How to Apply:
Submit your application to https://www.visuaal-itn.eu/esr-vacancies. Please, ensure that you select vacancy number ESR6.
Information:
Further information about the visuAAL project can be obtained from Professor Peter Wahlgren, [Email Address Removed].
For more information about the Doctoral Program, please contact the Director of Studies, Assistant Professor Jaan Paju, [Email Address Removed].
Continue with Facebook
