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FP7

SAFECITI

Simulation Platform for the Analysis of Crowd Turmoil in Urban Environments with Training and Predictive Capabilities

Programme
Seventh Framework Programme
Started
Ends
Duration
24 months
Total cost
EUR 1,899,049
EU contribution
EUR 1,442,734
Participants
6 from 5 countries
Topic
FP7_SEC-2013.7.6-1
Grant agreement
607626

Coordinated by Anyverse SL (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
OrganisationCountryRoleEU contributionRecognised by
Anyverse SLESSpainCoordinatorEUR 494,860PIC (1.00)
Esri R&d Center Zurich AGCHSwitzerlandParticipantEUR 159,600PIC (1.00)
Ministerio del InteriorESSpainParticipantEUR 58,340known name (0.95)
Golaem SAFRFranceParticipantEUR 366,364PIC (1.00)
Politecnico di TorinoITItalyParticipantEUR 256,626known name (0.95)
Griffin Software SRLRORomaniaParticipantEUR 106,944PIC (1.00)

Changes of the consortium

First seen on with 6 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.