[21-06-11] Scalable privacy-preserving technologies for crossborder federated computation in Europe involving personal data

The two tables below can be used when a European organization is looking for project partner, i.e. a specific type of organization, with a specific type of skill or interest.

The first table shows the skills and interests among a number of potential partners. When searching for a specific skill, start by looking at column 1. For each skill the potential partners are listed in the same row. The organization’s names are also links to their home pages.

The second table below shows all the organizations that are interested in this call, and also the types of organization (SME, startup, RTO etc.).

If you are interested in getting in touch with any of these organizations, please contact the node for more information at cybernode@ri.se.

Type of expertise neededOrganisations
GDPRKarlstads universitet, PICS/Högskolan i Skövde, Omen technologies, Göteborgs stad
Big DataGöteborgs stad
Advanced privacy preserving computation
techniques such as homomorphic encryption, secure
multiparty computation, and differential privacy
Karlstads universitet
Real-world use case scenarios Linköpings universitet, Göteborgs stad, PICS/Högskolan i Skövde
Integration with existing infrastructures and traditional security measures Linköpings universitet, Göteborgs stad
User’s needsDefentry, PICS/Högskolan i Skövde, Göteborgs stad
Legacy variation in personal data types Defentry, Göteborgs stad
Privacy-preserving computation in realistic federated data infrastructures Karlstads universitet
EU health data space Göteborgs stad
Developed as open source software Defentry, PICS/Högskolan i Skövde

DefentrySME, startup
Göteborgs stadPublic organisation
Högskolan i SkövdeRTO
Karlstads universitetRTO
Linköpings universitetRTO
Omen technologiesSME, startup