Projects

Summary

PLIADES advances state-of-the-art dataspace reference architectures, making a qualitative leap in the use of data as a key enabler for technological progress in AI and Robotics. To this end, PLIADES investigates new AI-enabled tools to drive full integration of the data lifecycle, both within a dataspace and across multiple dataspaces.

Objectives

Innovative data creation
Develop new models and methods for environmentally-conscious data generation, taking privacy and security into account across different domains.

Enhanced data privacy
Advance data privacy, security and sovereignty, empowering individuals and organisations to retain control over their information.

Data decentralisation
Promote advanced decentralisation of data by introducing AI-powered intermediaries to facilitate secure, sovereign data exchange.

Integrated dataspaces
Create advanced connectors for dataspaces that enable interconnection between distinct data spaces, covering the full information lifecycle.

Real-time analytics
Provide real-time insights and analytics via decentralised data connectors while ensuring privacy and security.

Diverse use cases
Apply project solutions to multiple use cases, including transport, energy, manufacturing, health and alignment with the Green Deal.

Business model innovation
Develop new business models that promote data sharing and reuse, aligned with principles of data neutrality and altruism.

European collaboration
Create synergies with other European initiatives, contributing to a common European data space with coordinated models and technologies.