IF you happen to be near the University of Utah tomorrow, then you might want to stop by the Visualization & Geometric Computing Group of the Scientific Computing & Imaging Institute (wow, mouthful) to check out a talk from Carlos Schiedegger about his project VisTrails.
How do we cope with the ever-increasing amount of available information? Can we create computational tools that facilitate the exploratory process inherent in scientific discovery? With a motivating example I encountered in my work in geometry processing, I will present research on managing the provenance of computational processes with VisTrails, a novel scientific visualization system I have helped design and develop.
If you’ve never tried VisTrails, I highly recommend it. It applies classic strategies on Revision Control & branching onto visualization pipelines, making it a breeze to build re-usable visualization pipelines and share them amongst friends. It even has a (commercial) Maya plugin to add the same features.
