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FP7

IMPROVE

Improving Prostate Cancer Outcome with Vectored Vaccines

Programme
Seventh Framework Programme
Started
Ends
Duration
60 months
Total cost
EUR 8,061,102
EU contribution
EUR 6,000,000
Participants
7 from 4 countries
Topic
FP7_HEALTH.2013.2.4.1-2
Grant agreement
602705

Coordinated by The Chancellor, Masters and Scholars of the University of Oxford (GBUnited Kingdom).

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
The Chancellor, Masters and Scholars of the University of OxfordGBUnited KingdomCoordinatorEUR 4,663,640PIC (1.00)
Universite de LausanneCHSwitzerlandParticipantEUR 600,000known name (0.95)
Astrazeneca Computational Pathology GmbHDEGermanyParticipantEUR 200,000PIC (1.00)
Oxford Biomedica (UK) LimitedGBUnited KingdomParticipantEUR 184,358PIC (1.00)
Vaccitech LtdGBUnited KingdomParticipantEUR 5,000PIC (1.00)
Externautics SpAITItalyParticipantEUR 275,000PIC (1.00)
Glaxosmithkline Vaccines SRLITItalyParticipantEUR 72,002PIC (1.00)

Changes of the consortium

First seen on with 7 participants from 4 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.