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DIVA R & D Projects
Duration: 01-12-2011 / 30-11-2015
Participant role
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Participant name
|
Country |
| Full network partner |
University of Zurich (UZH) |
CH |
Full network partner
|
Centro di Ricerca, Sviluppo e Studi Superiori in Sardegna (CRS4)
|
IT
|
Full network partner
|
University of Rostock
|
D
|
Full network partner
|
Chalmers University of Technology |
SWE |
Full network partner
|
Diginext (DXT)
|
FR |
Full network partner
|
Holografika (HOLO)
|
HU |
Associate partner
|
Eyescale Software GmbH (EYE) |
CH |
Associate partner
|
Geomatics & Excellence (GEXCEL) |
IT |
Associate partner
|
Compagnia Generale Riprese aeree (BLOM CGR) |
IT |
Associate partner
|
Centre d’Essais et de Recherche de l’ENTENTE (CEREN) |
FR |
| Associate partner |
Fraunhofer IGD |
D |
| Associate partner |
AIRBUS |
FR |
| Associate partner |
NVIDIA GmhB |
D |
| Associate partner |
AMD |
IT |
Abstract:
The DIVA Project is an Initial Training Network (ITN) funded by the EU within the 7th Framework Programme. It brings together 6 full partner institutions and 8 associated partners from 6 different EU countries.
The main goal of the network is to train the next generation of researchers in the fields of 3D data presentation and understanding, with a primary focus on data intensive application environments. The people in this program are mostly Early-Stage european scientific Researchers who in the future will lead the development of novel Data Intensive Visualization and Analysis (DIVA) methodologies in data-driven science and technology application domains.
The program of DIVA is based on integrating training and research projects across different aspects of visualization and interactive analysis, with a multidisciplinary application oriented collaboration. The objective of this network is to increase, by scientific exchange and collaboration, the development of new technologies and knowledge around virtual manipulatable representations of complex datasets.
The major focus will be on spatial data and data embedded in 3D space, which have a strong impact in a wide range of application domains. The research program is organized around five interconnected interdisciplinary themes, which are among the most urgent research topics for current large scale visualization research: innovation in data processing; innovation in interactive visualization; innovation in display systems; innovation in perceptual- and cognitive-motivated methods; innovation in information management and integration.
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