Please join us for a talk by research partners Lauren Tilton and Taylor Arnold entitled Looking Statistically: Alternative Lenses for Visual Culture on March 31, 2016 at 4:30 pm in the Pane Room, Alexander Library. An abstract follows:
Work at the intersection of digital humanities (DH) and computer science has generally focused on an algorithmic application of computational methods such as topic modeling, document similarity, and network centrality measures. As a result, explorative methods developed within applied statistics and data analysis have received limited visibility. In this talk, we will give an overview of the historical developments of exploratory data analysis and statistical computing. We will show, through examples from our work on visual culture, how both have the potential to shape digital humanities projects.
Lauren Tilton is a Ph.D. candidate at Yale University. Her interests include participatory media, twentieth-century history, and visual culture. She is the co-director of the NEH funded project Photogrammar.
Taylor Arnold is currently a lecturer in the department of statistics at Yale and senior scientist at AT&T Labs. His research focuses on the analysis of large, complex datasets and the resulting computational challenges. A particular area of focus is the sparse representation of highly structured objects such as text corpora and digital images. He is the technical co-director of the NEH funded project Photogrammar.
Tilton and Arnold are co-authors of Humanities Data in R: Exploring Networks, Geospatial Data, Images, and Text. Rutgers affiliates can access the digital edition for free, or purchase a discounted print copy through SpringerLink (3/31/16 update: electronic access is on a trial basis only, so download it while you can!). The Libraries will shortly have a print copy for circulation.