What can big data tell us about the character of an iconic street? The interactive installation On Broadway (2015) represents life in the 21st-century city through a compilation of images and data collected along the 13 miles of Broadway that span Manhattan. On Broadway does not show data in a conventional way, using only graphs and numbers, nor does it use the familiar way of representing spatial data, a map. Instead, it proposes a new visual metaphor for thinking about the city: a vertical stack of image and data layers navigated by means of a visually rich image-centric interface. There are 13 layers of data and images in the project, all aligned to locations along Broadway. The unique interface allows the viewer to see all the data at once or to zoom in and follow Broadway block by block. Browsing through the data, one can take the position of a big data algorithm and detect patterns between subsets of the data.
On Broadway was originally commissioned by the New York Public Library, for its exhibition The Public Eye (2014-2016) and developed by Daniel Goddemeyer, Moritz Stefaner, Dominikus Baur, and Lev Manovich. Contributors: Jay Chow, Mehrdad Yazdani, Brynn Shepherd, Leah Meisterlin.
ON BROADWAY from Moritz Stefaner on Vimeo.