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Software Studies Initiative

Software Studies Initiative

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Lev Manovich - Selected Projects & Exhibitions Inequaligram View Project Website 2016 Inequaligram measures social media inequality in NYC using 7.5M Instagram images. Read more → On Broadway View Project Website 2015 The interactive installation and web application "On Broadway" represents life in the 21st-century city through a compilation of images and data collected along the 13 miles of Broadway that span Manhattan. Read more → Selfiecity View Project Website 2014 Interactive web app for exploring a dataset of 3200 Instagram selfie photos, and separate visualizations of these photos created with custom software. Linköping University Nu på Svenska! Swedish Web site: National Center for Visual Analytics (NCVA) is a Swedish national educational and research resource for Geovisual Analytics established in 2007 with financial support from the Swedish Knowledge Foundation's Visualization Program, VINNOVA (Swedish government agency), Vetenskapsrådet (Swedish Research Council), Unilever Research, Statistics Sweden, OECD, European Commission, Eurostat, SMHI, Norrköping Kommun and others. Professor Mikael Jern is the director. Mikael is a frequently invited speaker at international statistical Conferences - figure shows Eurostat "Europé 2020" Conference.

Literary Constellations - C82: Works of Nicholas Rougeux When a story is well-written, you can become so immersed while reading that it becomes your world. All your surroundings disappear and all that remains are the words on the page guiding you through the story. These words can be transformed into constellation-like diagrams. The first words of a story—and even every chapter—are unique in that they set the stage for what's to come. Constellations were created from words of first sentences of each chapter in classic short stories to draw a paths based on word length and part of speech. The directions of lines were based on part of speech (noun, verb, adjective, etc.) and length is based on the length of the word.

The Use of Data Visualization in Government Monday, June 10th, 2013 - 10:26 The concept of visualization recalls a pivotal scene in the movie A Beautiful Mind which showed the protagonist, mathematician John Nash, looking at an expansive table of numbers. Slowly, certain numbers seemed to glow, suggesting that Nash was perceiving a pattern among them, though no other researcher had been able to draw any meaning from the table. For most people, however, a table of numbers is not intrinsically meaningful. Think of the most prosaic example: a spreadsheet. Data Games Data games are games that use real-world information for creating their content. Data is incorporated into game content under the assumption that players should view, learn and interact with such data during gameplay. However, data in its raw form is usually not suitable for direct use in-game, and need to be transformed.

Institute: Visualisierungsinstitut der Universität Stuttgart The Visualization Research Center (VISUS) is a central institution of the University of Stuttgart. About 30 scientists research in different areas of Scientific Visualization, Visual Analytics, Visual Computing and Computer Graphics, as well as interdisciplinary, applied research. The latter results in a very close co-operation with non-visualization disciplines of the University of Stuttgart. As part of the Institute for Visualization and Interactive Systems (VIS), the insitute is embedded into the Faculty of Computer Science, Electrical Engineering and Information Technology.

InfoVis Group @ UBC Computer Science 06/2016 [talks]: Information+ Keynote, Lightning Talk Tamara Munzner will be giving a keynote talk entitled Visualization Analysis and Design at Information+, June 16 - 18, 2016 in Vancouver BC, Canada. Center for Digital Humanities and Computational Social Science {*style:<ul>*}{*style:<li>*}{*style:<h3>*}{*style:<a href=' Co-Director Elizabeth Dillon featured in the New York Times{*style:</a>*}{*style:</h3>*} November 24, 2016 {*style:<br>*}Professor Elizabeth Maddock Dillon recently published an op-ed, “Long Before ‘Hamilton’ Brouhaha, Theater Was Anything but Polite” in the New York Times. You can read her ... {*style:<a href=' more...{*style:</a>*}{*style:</li>*}{*style:<li>*}{*style:<h3>*}{*style:<a href=' Moya Bailey Interviewed at HASTAC{*style:</a>*}{*style:</h3>*} November 4, 2016 {*style:<br>*} Moya Bailey, NULab Core Faculty member and Assistant Professor in the Department of Cultures, Societies and Global Studies and the Women’s, Gender and Sexuality Studies Program, ... {*style:<a href=' more...

Data Visualization and Feelings - Scientific American Blog Network In a memorable talk at OpenVisConf earlier this year, data journalist Mona Chalabi posited that there is no such thing as an emotionless data visualization. There is a person behind each visualization, she reasoned, and that person has feelings about the information she is representing. Whether consciously or not, those feelings are often revealed in the visual design decisions that characterize the resulting image. In science visualization, however, the goal is often to be as detached as possible. When representing scientific data, we are generally not trying to evoke an emotional response from our readers, but rather to allow them to explore the data and draw empirical conclusions themselves. While those conclusions may carry emotional weight, it is not the job of the visualization to arouse those feelings directly.

SEMVAST News The old server that hosted the Repository died... so it was moved HERE: the new version of the Visual Analytics Benchmark Repository . The original websites for a few older challenges also ran on now-outdated technology and stopped working, so we saved PDF copies of the pages and include them in the benchmark repository for archival purposes. The VAST Challenge 2014 was a success. The solutions and all entries will be posted soon on the Visual Analytics Benchmark Repository

Visual Analytics Benchmark Repository About Us The repository: The Visual Analytics Benchmarks Repository contains resources to improve the evaluation of visual analytics technology. Benchmarks contains datasets and tasks, as well as materials describing the uses of those benchmarks (the results of analysis, contest entries, controlled experiment materials etc.)