How we see people—ourselves as well as others—in the virtual world is perhaps the most challenging problem in the design of online spaces. One approach is to create “data portraits”, depicting people by visualizing data by and about them. The word “portrait” emphasizes the subjectivity of the representation: while the goal of visualization is usually objective accuracy, a portrait is an artistic production, shaped by the tension among the often-conflicting goals of the subject, artist, and audience. To create these portraits, we must address important questions about privacy, control, aesthetics, and social cognition. In this talk I will discuss both the making of these portraits and their effect on the evolution of online culture.
Judith Donath synthesizes knowledge from urban design, evolutionary biology, and cognitive science to design innovative interfaces for online communities and virtual identities. A Harvard Berkman Faculty Fellow and formerly director of the MIT Media Lab’s Sociable Media Group, she is known internationally for her writing on identity, interface design, and social communication. She is the creator of many pioneering online social applications; her work and that of the Sociable Media Group have been shown in museums and galleries worldwide. She is the author of The Social Machine: Designs for Living Online (MIT Press, 2014). Her current research focuses on how we signal identity in both mediated and face-to-face interactions, and she is working on a book about how the economics of honesty shape our world. She received her doctoral and master’s degrees in Media Arts and Sciences from MIT and her bachelor’s degree in history from Yale University.
for information about her recent book visit
Judith Donath – Algorithmic Likenesses: Design and Control of Data Portraits
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October 1, 2014
Visitor Center, Northeastern University
40A Leon Street
Boston, MA 02115
Boston, MA 02115