Data Intensive Visualization and Analysis (DIVA)
Research Project, 2011 – 2015

This project is aimed at training the next generation of visualization and analysis experts who will be equipped with the necessary skills to cope with the major challenges for visual presentation and understanding in data intensive application environments. The people in this program are generally 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 an application oriented collaboration.Visualization and interactive analysis, in a larger context includes a variety of research aspects from data acquisition to knowledge discovery. In this training program we want to focus on the core pipeline of visualization from data to visual interaction and understanding. Covered by the activities of the consortium partners, this includes the principal topics such as: data processing, feature extraction, compression, multiscale modelling, interactive rendering, display systems, interaction, visual perception and cognition. Through collaboration and interaction between the partners as well as dedicated teaching and coaching, the trained visualization experts will gain a comprehensive view of visualization in science and technology.

Participants

Morten Fjeld (contact)

Chalmers, Computer Science and Engineering (Chalmers), Interaction Design and Software Engineering

Collaborations

Diginext

Aix en Provence, France

Holografika Hologrameloallito Fejleszto es Forgalmazo

Budapest, Hungary

Sardegna Ricerce (CRS4)

Cagliari, Italy

University of Rostock

Rostock, Germany

University of Zürich

Zürich, Switzerland

Funding

European Commission (EC)

Project ID: EC/FP7/290227
Funding Chalmers participation during 2011–2015

More information

Latest update

2020-09-02