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H2020

KConnect

Khresmoi Multilingual Medical Text Analysis, Search and Machine Translation Connected in a Thriving Data-Value Chain

Programme
Horizon 2020
Started
Ends
Duration
30 months
Total cost
EUR 3,889,843
EU contribution
EUR 3,083,083
Participants
8 from 5 countries
Topic
H2020_ICT-15-2014
Grant agreement
644753

Coordinated by Technische Universitaet Wien (ATAustria).

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
OrganisationCountryRoleEU contributionRecognised by
Technische Universitaet WienATAustriaCoordinatorEUR 677,540PIC (1.00)
Health on the Net FondationCHSwitzerlandParticipantEUR 0PIC (1.00)
King's College LondonGBUnited KingdomParticipantEUR 320,625known name (0.95)
The University of SheffieldGBUnited KingdomParticipantEUR 409,750known name (0.95)
Tripdatabase LtdGBUnited KingdomParticipantEUR 109,069PIC (1.00)
Precognox Informatikai KftHUHungaryParticipantEUR 153,563PIC (1.00)
Findwise ABSESwedenParticipantEUR 445,543PIC (1.00)
Jonkopings LanSESwedenParticipantEUR 453,125PIC (1.00)

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.