VisMaster is a European Coordination Action Project focused on the research discipline of Visual Analytics: One of the most important challenges of the emerging Information Age is to effectively utilise the immense wealth of information and data acquired, computed and stored by modern information systems. On the one hand, the appropriate use of available information volumes offers large potential to realize technological progress and business success. On the other hand, there exists the severe danger that users and analysts easily get lost in irrelevant, or inappropriately processed or presented information, a problem which is generally called the information overload problem. Visual Analytics is an emerging research discipline developing technology to make the best possible use of huge information loads in a wide variety of applications. The basic idea is to appropriately combine the strengths of intelligent automatic data analysis with the visual perception and analysis capabilities of the human user.
VisMaster's aim is to push the limits of today's Visual Analytics. To achieve this goal, the Coordination Action joins European academic and industrial R&D excellence from several individual disciplines, forming a strong Visual Analytics research community. The project is divided into an array of thematic working groups that focus on advancing the state of the art in Visual Analytics. Specifically, the working groups will join excellence in the fields of data management, data analysis, spatial-temporal data, and human visual perception research with the wider visualisation research community.
The VisMaster Project main goals are to
- form and shape a strong European Visual Analytics community
- define the European Visual Analytics Research Roadmap
- expose public and private stakeholders to Visual Analytics technology
- set the stage for larger follow-up Visual Analytics research initiatives in Europe.
The project VisMaster CA acknowledges the financial support of the Future and Emerging Technologies (FET) programme within the Seventh Framwork Programme (FP7) for research of the European Commission (EC) under FET-Open grant number 225429.