Knowledge Generation Model
Knowledge Generation Model
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Monitoring activities within the SPIRIT Project will be carried out by internal and external authorities.
Monitoring activities within the SPIRIT project will be carried out by internal and external authorities.
Internal authorities are:
(i) the ethical and legal lead partner of the project UAB-IDT,
(ii) the Data Protection Officer, specially appointed to ensure strict compliance with the EU and national legal data protection frameworks.
The external authorities are:
(i) the Ethical Advisory Board (EAB) AB,
(ii) the Ethical Committees of the LEAs participating in the project,
(iii) National Data Protection Authorities.
The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype.
SPIRIT will start the initial development phase focussing on the use cases provided by the End User Partners wrapped in the privacy by design blanket to establish an early prototype that will be installed in each of the End User Partners’ offices. The system will utilise anonymised data sets combined with developed functionality to trawl through open source data securely behind each partner Forces’ firewall and security systems.
Knowledge Generation Model
The SPIRIT project will take a novel approach in the development, testing, training and evaluation of a new scalable privacy preserving intelligence analysis for resolving identities system prototype.
Project Coordinator: Mr. Paolo Fabbri (LUTECH SPA.)
Project Technical Coordinator: Dr. Costas Davarakis (Singularlogic SA)
Project Support, Dissemination & Communication: NST AE
A Plenary Meeting took place in Linköping on July 17-19, 2019
Published on 20 July 2019
A Technical Meeting took place in Ilmenau on June 12-13, 2019
Published on 16 June 2019
Copyright © 2018 SPIRIT| Scalable privacy preserving intelligence analysis for resolving identities.
This project has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 786993
