Art as Data: DH Fellow Elizabeth Honig on Art History in the Age of Big Data

What does the advent of big data have to offer art historians? What do art historians, well versed in the study of images, have to offer researchers in computational methods? What approaches are available to scholars studying large collections of images, and what types of research questions do these engender? How can we connect large image collections with rich metadata? Elizabeth Honig, DH Fellow and Associate Professor in History of Art, and Melissa Geisler Trafton, Senior Researcher, Fitz H.

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DH Fellow Eduardo Escobar on Analyzing Social Networks and Semantic Networks in Assyriology

DH Fellow Eduardo Escobar, a PhD candidate in Near Eastern Studies, has turned to network analysis to study semantic and social networks in the history of science. In network analysis, a graph’s nodes (e.g. people, places, words) and their connecting edges (kinship, trade routes, synonyms) are visualized, with the goal of providing scholars with new insights.

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Join the Bancroft Library to Map the 1915 San Francisco World’s Fair, Nov. 19

On Thursday, November 19, the Bancroft Library will celebrate the 100th anniversary of the 1915 San Francisco Panama-Pacific International exhibition by inviting students and members of the public into the archives. Using the Historypin platform, students will attach rarely seen photographs of the world’s fair to a  historic map of the PPIE fairgrounds. 

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Prof. David Bamman to Offer Interdisciplinary Critical Data Science Course Spring 2016

This fall, David Bamman joined the School of Information faculty as an Assistant Professor. His research in natural language processing and machine learning has direct applications for digital humanities scholarship. Bamman himself has a background in the humanities, including undergraduate studies in classics and English literature at the University of Wisconsin-Madison and an M.A. in Applied Linguistics from Boston University.

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