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H2020

GuestXR

GuestXR: A Machine Learning Agent for Social Harmony in eXtended Reality

Programme
Horizon 2020
Started
Ends
Duration
48 months
Total cost
EUR 4,499,520
EU contribution
EUR 4,499,520
Participants
8 from 5 countries
Topic
H2020_FETPROACT-EIC-07-2020
Grant agreement
101017884

Coordinated by Fundacio Eurecat (ESSpain).

Consortium

EU contribution per participant as the open data of CORDIS states it; for a participant with linked third parties it may include their share, and a participant whose amount the data does not hold or cannot make consistent shows Not stated. A participant who left the project is not listed; see the history below.

Members of the consortium, coordinator first
OrganisationCountryRoleEU contributionRecognised by
Fundacio EurecatESSpainCoordinatorEUR 700,375PIC (1.00)
G.tec Medical Engineering GmbHATAustriaParticipantEUR 359,375PIC (1.00)
Universitat de BarcelonaESSpainParticipantEUR 405,938known name (0.97)
Virtual Bodyworks SLESSpainParticipantEUR 529,437PIC (1.00)
Centre National de la Recherche Scientifique CnrsFRFranceThird partyNot statedknown name (0.95)
Institut National de Recherche en Informatique et AutomatiqueFRFranceParticipantEUR 490,352PIC (1.00)
Reichman UniversityILIsraelParticipantEUR 861,125PIC (1.00)
Universiteit MaastrichtNLNetherlandsParticipantEUR 785,419known name (0.95)

Changes of the consortium

First seen on with 8 participants from 5 countries.

A snapshot of each project's members is taken once a month; a change is recorded when a snapshot differs from the one before. A project with no change listed has had the same members since it was first observed.

Project page on CORDIS (opens in new tab)

Where this comes from

EU contribution is the amount CORDIS's open data pays to the participant. For a participant with linked third parties it may include their share (the CORDIS page prints the net); an amount the data does not hold is left out, not counted as zero. EDF factsheets state none per participant, so EDF projects count as projects but add nothing to the amounts.

Organisation-level facts only: a name, a country, a role, an amount, a year. A participant is recognised by its PIC where the source gives one, otherwise by name; the page says which. How the data is built.