11 research outputs found

    Visualizing the Past: Tools and Techniques for Understanding Historical Processes

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    The University of Richmond requests a Level I Digital Humanities Start-Up grant to bring together experts for investigations about how to overcome limitations that prevent most humanities scholars from taking advantage of visualization techniques in their research. The grant will fund a two-day workshop where invited scholars will discuss current work on visualizing historical processes, and together consider: (1) How can we harness emerging cyber-infrastructure tools and interoperability standards to explore, visualize, and analyze spatial and temporal components of distributed digital archives to better understand historical events and processes? (2) How can user-friendly tools or web sites be created to allow scholars and researchers to animate spatial and temporal data housed on different systems across the Internet? The grant will also fund initial experiments toward creating new tools for overcoming obstacles to data visualization work. Results will be presented as a white paper

    Crucible of the Civil War: Virginia from Secession to Commemoration

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    Crucible of the Civil War offers an illuminating portrait of the state’s wartime economic, political, and social institutions. Weighing in on contentious issues within established scholarship while also breaking ground in areas long neglected by scholars, the contributors examine such concerns as the war’s effect on slavery in the state, the wartime intersection of race and religion, and the development of Confederate social networks. They also shed light on topics long disputed by historians, such as Virginia’s decision to secede from the Union, the development of Confederate nationalism, and how Virginians chose to remember the war after its close.https://scholarship.richmond.edu/bookshelf/1258/thumbnail.jp

    Mapping Historical Texts: Combining Text-mining & Geo-visualization to Unlock the Research Potential of Historical Newspapers

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    The digital age is overwhelming most scholars with far more information than they can process through traditional means. If scholars are going to make sense of millions of digitized historical newspapers they need more effective tools for uncovering meaningful patterns than a basic word search can provide. What scholars need are more sophisticated methods for (1) identifying meaningful patterns embedded in large-scale digital datasets and (2) tools for visualizing those patterns so they can be understood. This project will combine the two best methods for such work: text-mining and geo-visualization. We will mine digitized historical newspapers for language patterns scattered across millions of words, and then map that information as it moved across time and space. The result will be a series of working models demonstrating how humanities scholars can both extract meaningful patterns from otherwise overwhelming datasets and then make sense of those patterns by visualizing them
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