The Graduate Center, City University of New York, co-leader of CUNY's newly created Big Data Consortium, announced that it will establish the CUNY Center for Digital Scholarship and Data Visualization. The consortium has been awarded $15 million from the State of New York in the CUNY 2020 grant competition.
See full Press Release for more details.
The idea of the Center builds on the pioneering work of Lev Manovich who joined CUNY as The Professor in the Ph.D. Program in Computer Science in 2013. Manovich's lab (Software Studies Initiative, softwarestudies.com) has been based in California Institute for Telecommunication and Information (Calit2) since 2007 and now operates between San Diego and NYC. The lab a pioneer of theory and practice of cultural analytics, applying computational and visualization methods to massive sets of visual cultural data. (Manovich first proposed the idea of cultural analytics in 2005.)
While Software Studies Initiative analyzes all kinds of cultural data sets, The CUNY Center for Digital Scholarship and Data Visualization plans to specifically focus on datasets from leading New York City and national cultural institutions. The institutions who already expressed interests in working with the Center are the Museum of Modern Art, the New York Public Library, the Cooper-Hewitt Museum, the New York Historical Society, the Brooklyn Historical Society, the Digital Public Library of America, and Rhizome at the New Museum. Unlike most big data work, which concentrates on numbers and texts, many cultural institutions have media-centric heterogeneous datasets that include images, sounds, videos, and maps. The Center for Digital Scholarship and Data Visualization plans to concentrate especially on the opportunities and challenges involved in visualizing and interpreting these complex datasets.
Software Studies Initiative will continue to operate in its current format, drawing on the unique resources of Calit2 and CUNY. We are looking forward to participating in the work of the new Center and sharing our experiences in working with leading cultural institutions on their data sets.