Data Event with Lev Manovich

Where: CTVR Dunlop Oriel House, Corner of Fenian Street and Westland Row, Dublin 2.

When: Friday September 5th 7:00pm

Map: http://bit.ly/1sUQieM

Booking: Seating is limited so to be sure of a place please use this eventbrite link to book a seat.

We’re thrilled to announce a D.A.T.A talk with Lev Manovich http://manovich.net/ this Friday, September 5th.

Lev Manovich is an author of books on new media theory, professor in Computer Science program at City University of New York, Graduate Center, U.S. and visiting professor European Graduate School in Saas-Fee, Switzerland. Manovich’s research and teaching focuses on digital humanities, new media art and theory, and software studies. His best known book is ‘The Language of New Media’, which has been widely reviewed and translated into nine languages. Manovich’s new book ‘Software Takes Command’ was published in 2013 by Bloomsbury and also released under a Creative Commons licensehttp://www.amazon.co.uk/s/ref=nb_sb_noss_1?url=search-alias%3Daps&field-keywords=lev+manovich. Lev is no. 2 on the List of “25 people Shaping the Future of Design”:
http://www.complex.com/art-design/2013/10/future-of-design/

This event is proudly sponsored by CTVR: The Telecommunications Research Centre. With special thanks to the Programmable Cities Project in NUI Maynooth.

Bio:
Manovich was born in Moscow where he studied fine arts, architecture and computer programming. He moved to New York in 1981, receiving an M.A. in Experimental Psychology (NYU, 1988) and a Ph.D. in Visual and Cultural Studies from University of Rochester (1993). He has been working with computer media as an artist, computer animator, designer, and programmer since 1984. His art projects have been presented by, among others, Chelsea Art Museum (New York), ZKM, The Walker Art Center, KIASMA, Centre Pompidou, ICA (London), and Graphic Design Museum (Breda, NL).

In 2007 Manovich founded Software Studies Initiative (softwarestudies.com), The lab is developing Cultural Analytics: computational analysis and visualization of patterns in massive cultural visual datasets such as millions of Instagram photos. The lab’s past and present collaborators include Museum of Modern Art (NYC), Getty Research Institute, Austrian Film Museum, Netherlands Institute for Sound and Image and other institutions.