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Special talk by Robert Laramee on Democratic Data Visualization

2019.08.14 | Søs Küster Markussen

Date Fri 16 Aug
Time 09:00 10:00
Location 5335-395

Abstract:

Some people believe that we live in the Age of Information. I believe it’s much more accurate to say we live in the Age of Data. Even more accurate is to say we live in the Age of Data Chaos. With the rapid advancement of big data storage technologies and the ever-decreasing costs of hardware, our ability to derive and store data is unprecedented. However, a large gap remains between our ability to generate and store large collections of complex, time-dependent data and our ability to derive useful information and knowledge from it. This is complicated further by the fact that our data collection is often unstructured and usually not very well planned-to the extent of creating an environment of data chaos. Data visualization leverages our most powerful sense, vision, in order to derive knowledge and gain insight into large, multi-variate and sometimes chaotic data sets that describe complicated and often time-dependent behavior. This talk presents a selection of case studies that address the age of data chaos with multi-disciplinary taster applications. To add to the chaos, the audience will vote to determine the outcome of the talk.

Short Bio:

Robert S. Laramee received a bachelors degree in physics, cum laude, from the University of Massachusetts, Amherst. He received a masters degree in computer science from the University of New Hampshire, Durham. He was awarded a PhD from the Vienna University of Technology (Gruess Gott TUWien), Austria at the Institute of Computer Graphics and Algorithms in 2005. From 2001 to 2006 he was a researcher at the VRVis Research Center (www.vrvis.at) and a software engineer at AVL (www.avl.com) in the department of Advanced Simulation Technologies. Currently he is an Associate Professor at the Swansea University (Prifysgol Cymru Abertawe), Wales in the Department of Computer Science (Adran Gwyddor Cyfrifiadur). His research interests are in the areas of scientific visualization, information visualization, and visual analytics. He has published more than 160 peer-reviewed papers in scientific journals and conferences.

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