Research and development projects

Technology for portability and privacy of interoperable data in p2p applications using the new paradigm of privacy preserving machine learning.

Development of a platform for interoperable data portability and privacy in p2p applications through the new paradigm of privacy preserving machine learning. This will materialise in the construction of a personal data marketplace, which will make it easier for citizens to transfer their personal data from one service provider to another, in a simple and direct way, in accordance with the GDPR and based on blockchain technologies and artificial intelligence.

Furthermore, developing this new technology will open up a whole new series of challenges and opportunities that can be used both by local companies to grow and develop, and by entrepreneurs to create new companies and expand and strengthen the region’s business fabric.

Interoperable Data Portability Support for Developing Privacy-Aware P2P Applications.

The project aims to serve as a catalyst by addressing best practices in application development and implementation, expediting consistent development, and ensuring that data portability is integrated and interoperable across applications in different domains. This prevents them from becoming data silos and a source of frustration and uncertainty for citizens.

The project builds upon the robust framework provided by the combination of Decentralized Identifiers (DID), standardized verifiable credentials, and their verification mechanisms transmitted through secure P2P communications.