The Institute for Computing in Humanities, Arts, and Social Science (I-CHASS) is pleased to announce that Digging into Image Data to Answer Authorship Related Questions has been awarded funding through the Digging Into Data (DID) Challenge, as posted at www.diggingintodata.org The DID Challenge seeks to promote innovative humanities and social science research that relies on the analysis of large-scale datasets and is an initiative jointly sponsored by the National Science Foundation (NSF), the National Endowment for the Humanities (NEH), Social Sciences and Humanities Research Council (SSHRC) of Canada, and the United Kingdom’s Joint Information Systems Committee (JISC).
Digging into Image Data to Answer Authorship Related Questions is an international collaboration between researchers at the University of Illinois at Urbana-Champaign (UIUC) funded by NSF, Michigan State University (MSU) funded by NEH, and the University of Sheffield funded by JISC. The effort is supported by key participants from the Alliance for American Quilts.
Led at I-CHASS by Dr. Peter Bajcsy, Associate Director for Data Analytics and Pattern Recognition and a Research Scientist at the National Center for Supercomputing Applications (NCSA), the project uses advanced computational techniques to explore the authorship of three different datasets of visual works—15th century manuscripts, 17th and 18th century maps, and 19th and 20th century quilts—and to answer such questions as how visual and production styles reflect regional tastes or historical moments, how traumatic historical events manifest in cultural production, and how artifacts reflect and influence relationships between cultural groups.
The UIUC project’s co-Principal Investigators are Anne D. Hedeman of the University of Illinois, and I-CHASS Executive Director Kevin Franklin. The collaborating sites are led by Dr. Dean Rehberger of Michigan State University, and Dr. Peter Ainsworth of the University of Sheffield.
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Founded in 2004 at the University of Illinois at Urbana-Champaign, I-CHASS charts new ground in high-performance computing and the humanities, arts, and social sciences by creating both learning environments and spaces for digital discovery. I-CHASS presents path-breaking research, computational resources, collaborative tools, and educational programming to showcase the future of the humanities, arts, and social sciences.
For more information on I-CHASS, please visit: http://www.ichass.illinois.edu