Monday, February 1, 2016

‌OLIN 014

Reception at 4 p.m.
Lecture at 4:30 p.m.

Related Fields: Computer Science, Applied Statistics, Art, Art History, Architecture, Film Studies, Music , Music and Technology, Sociology, Language majors who study literature 

Manovich will provide an overview of cultural approaches to big data, showing examples of important projects from the fields of data art, data design, digital art history and digital humanities. Discussion will include recent work in the  combining methods from digital art, computer science and humanities to study massive cultural datasets. Examples include comparison of 2.3 million from 13 global cities; an interactive online for exploring patterns in selfies; the recent for New York Public Library that visualizes Broadway street in NYC using 30 million images and data records; and work for MoMA to visualize 20,000 historical photographs in its Photo collection.


This event will be streamed live starting at 4:30pm on Monday, February 1.



Dr. Lev Manovich
Dr. Lev Manovich; Professor, The Graduate Center, City University of New York (CUNY) and Director, Software Studies Initiative
Dr. Lev Manovich is the author and editor of eight books including  (RIXC, 2015), (, (Bloomsbury Academic, 2013),  (The MIT Press, 2005), and  (The MIT Press, 2001) which was described as "the most suggestive and broad ranging media history since Marshall McLuhan." He appeared on the list of  in 2013 and the list of  in 2014. Manovich is a Professor of Computer Science at , and a Director of the  that uses methods from computer science, media design and humanities to analyze big cultural data such as millions of Instagram images.The lab's most recent projects were commissioned by MoMA, New Public Library, and Google.