Visualization Community

The human visual sense is superior to today’s computers in terms of perceiving content in images. Using vision, high bandwidth can be created between digital data representations and the user. It is this human capability that visualization builds upon by generating images representing the content of large and complex data sets. Interactivity plays a key role in the visualization and image science workflows as the user needs to feed back gained insights and steer the capturing, filtering and refining steps to reach the goal of detecting expected features and discovering unexpected ones in the flow of data. The focus of visualization solutions is thus to assist humans to effectively gain insights from massive amounts of data. This is why visualization is a necessary and central area of e-Science research.

Research Environment

As SeRC is a national network, the members of the visualization community are hosted by different organizations. Among them are the Norrköping Visualization Center C (http://www.visualiseringscenter.se), the Center for Medical Image Science and Visualization (http://www.cmiv.liu.se,), and the Center for Visualization, Interaction and Collaboration (http://www.csc.kth.se/vic). All these sites collaborate closely and have access to the National Supercomputing Center (http://www.nsc.liu.se) and the PDC Center for High Performance Computing (http://www.pdc.kth.se). The visualization community efforts are coordinated by the Scientific Visualization Group at Linköping University.

 

Overall Research Goals

Visualization has a very central role within e-Science research. A superficial and outdated perception of visualization would be as a final, isolated step to perform a simple visual mapping of data. In contrast, visualization is the link to human interaction with data, which means that it is the link to the relevant value of the entire e-Science solution in many scenarios. The long-term objectives for the SeRC visualization community stem from the opportunities and challenges arising with large data sets resulting from the high troughput computing run at the national super computer centers. The greater perspective of the research efforts is to develop novel interactive visualization technologies that enable and promote cross-catalytic interaction, where visualization technology drives improvements in the applied communities and vice versa.