ESR16 - Irakli Pkhakadze

The General Data Protection Regulation (GDPR) provides robust protections for personal integrity. While video-based Ambient Assisted Living (AAL) technologies offer significant benefits in healthcare and well-being, they also raise substantial privacy concerns that could jeopardize their long-term viability. Accelerating the deployment of vital research in AAL technologies can be achieved through the use of "digital twins" to emulate data, thereby addressing critical upcoming challenges without undermining the privacy of individuals. This project concentrates on exploring opportunities for conducting essential research by employing data from "computer-generated agents" or alternative simulations, rather than relying on personal data. 

As a researcher, my primary duty will involve compiling a comprehensive and detailed report on “digital twins”, aiming to add valuable insights to the existing literature on methods of anonymization within data privacy, especially regarding highly sensitive data such as health data. This report will investigate alternative strategies that employ “digital twins” to navigate the intricacies of stringent data protection regulations.

In particular, the report will include a current catalogue of pertinent research initiatives and practical implementations, detailing any associated social, ethical, and legal challenges encountered. Furthermore, it will consist of a systematic review of established and possibly applicable regulatory frameworks.