Mark Hansen

Mark is currently Associate Professor of Statistics at UCLA, where he also has an appointment in the Design|Media Art Department. Previously he was a member of the Technical Staff in the Statistics and Data Mining Research Department of Bell Laboratories.

In addition to his formal statistical work, Hansen also has an active art practice involving the presentation of large or complex data streams for the public. In 2004, Hansen and his collaborator Ben Rubin, (EAR Studio), were awarded the 2004 Ars Electronica Golden Nica for Interactive Art; and his work has been exhibited at the Whitney Museum in New York City, the Centro de Arte Reina Sofia in Madrid, the London Science Museum, the Aarhus Kunstmuseum, the San Jose Museum of Art, The List Visual Arts Center at MIT, and the Cartier Foundation in Paris. In 2005 Hansen and Rubin were named Media Arts Fellows (a program funded by the Rockefeller and Ford Foundations).

His 2007 collaboration with Rubin, Moveable Type, is an artwork commissioned for the ground-floor lobby of The New York Times Building in New York City. It is a dynamic portrait of The Times. Statistical methods and natural-language processing algorithms are used to parse the daily output of the paper (news, features, editorials) and the archives, as well as the activity of visitors to (browsing, searching, commenting). The resulting refracted view of The Times is displayed on 560 vacuum-fluorescent display screens installed in the lobby.

Session: Recently

Join Mark as he describes his work at the intersection of data and design. His recent work includes Project Cascade for the New York Times. Superficially, it’s a data visualization, but it’s actually a tool that could, ever so slightly, change the way we think about online engagement. Plus a collaboration with Ben Rubin and Elevator Repair Service to present Shuffle, a new performance installation where the script is generated in real time by computer algorithms that recombine phrases from classic works by Faulkner, Fitzgerald, and Hemingway.

Panel: Data Viz & Social Justice

This panel will look into the relationship between data (collection | sharing | analysis | visualization) and social justice. What can we reveal about the state of things by creating new views of the data? Can making the data more meaningful actually effect change in society?