News

New Research Project: IMMV: Interactive Music Mapping Vienna: Exploring a City, 1945 up to the present day

Submitted by Silvia Miksch on

The project’s focus is the valorisation and the mediation of the capabilities of music as an urban identification tool. The interaction between music and urban texture (identity, political symbolism, mental determination, imagination) should be made accessible to academic and to a wide audience through interactive Visual Analytic Technologies.

more information

Silvia Miksch was opponent in Gregorio Palmas's PhD defense

Submitted by Silvia Miksch on

Silvia Miksch served as opponent in Gregorio Palmas's PhD defense at the School of Computer Science and Communication (CSC) at the KTH Royal Institute of Technology in Stockholm, Sweden (November 17, 2016). The title of this thesis is/was "Visual Analysis of Multidimensional Data for Biomechanics and HCI”.

The supervisor was Professor Tino Weinkauf

The members of the examining committee were

We have moved

Submitted by Paolo Federico on

The ieg / CVAST team left their premises in Floragasse 7 and moved into a new office, a stone's throw away, in Favoritenstrasse 9-11.

Please check the updated information How to find us

Job: Junior Research Position (PhD candidate) in Visual Analytics/Information Visualization, TUW, LBC CVAST [DL: Oct 15, 2016]

Submitted by Silvia Miksch on

We are seeking for a highly motivated PhD candidate in the field of Visual Analytics, Information Visualization, visual Data Mining and Interaction Design (with particular focus on data quality and uncertainty) in the Laura Bassi Center of Expertise (LBC), Centre for Visual Analytics Science and Technology (CVAST), which is established at the Institute of Software Technology and Interactive Systems, Vienna Un

Project kick-off: polycube

Submitted by Paolo Federico on

We collaborate with the Department for Knowledge and Communication Management - Danube University Krems​ within the new interdisciplinary research project polycube - Towards Integrated Mental Models of Cultural Heritage Data