From Amazon: You have a mound of data sitting in front of you and a suite of computation tools at your disposal. And yet, you're stumped as to how to turn that data into insight. Which part of that data actually matters, and where is this insight hidden?
If you're a data scientist who struggles to navigate the murky space between data and insight, this book will help you think about and reshape data for visual data exploration. It's ideal for relatively new data scientists, who may be computer-knowledgeable and data-knowledgeable, but do not yet know how to create effective, explorable representations of data.
NeuroImage Journal Cover Features SCIRun Renderings
The publication and cover image is the result of a close collaboration between the University of Freiburg (Lukas Fiederer, Tonio Ball and others) in Germany and the NIH-funded Center for Integrated Biomedical Computing (CIBC, Moritz Dannhauer) at the SCI institute (Johannes Vorwerk). The cover of NeuroImage' March (128) issue illustrates different tissues in a model of the human head that are known to have distinct electrical properties. In this study, we simulated the electrical effect of blood vessels on current flow originating from active brain regions as monitored by scalp electrodes (encephalography, EEG). Since the understanding of EEG measurements matters in many clinical applications (e.g., epilepsy), SCIRun software offers a set of tools to investigate their underlying electrical generators. Recently, in the new version 5.0 of SCIRun additional capabilities (BrainStimulator) have been added to simulate the current flow from external stimulation devices targeting brain regions of potential EEG generators.
SCI Research Highlighted in Argonne's 10 Year Celebration
Modeling detonations to transport explosives safely
Researchers modeled a 2005 explosion that left a 30-by-70-foot crater in a Utah highway, capturing the physics that made the truck's cargo explode more violently than it should have. With such simulations, we can design safer transport for explosives. Led by Martin Berzins, University of Utah
Best Paper: H. Nguyen, P. Rosen, Improved identification of data correlations through correlation coordinate plots, Intl. Conf. on Information Visualization Theory and Applications (IVAPP), 2016.
Best PhD Project: H. Nguyen, P. Rosen, Data Scalable Approach for Identifying Correlation in Large and Muti-Dimensional Data, Intl. Conf. on Information Visualization Theory and Applications Doctoral Consortium (IVAPP), 2016.