How can we explore patterns in massive amounts of visual, user-generated content such as the billions of images and video on Instagram, Facebook and Twitter? How to democratize data mining so such research can be done by designers, artists and students who don’t have computer science degree? How do we analyze social media data without thinking about "typical," "popular" or "outliers"? How to use "big data" to question our assumptions about cultures and societies?
Dr. Lev Manovich, the speaker, is the author and editor of eight books including Data Drift (RIXC, 2015), Software Takes Command, (Bloomsbury Academic, 2013), Soft Cinema: Navigating the Database (The MIT Press, 2005), and The Language of New Media (The MIT Press, 2001) which was described as "the most suggestive and broad ranging media history since Marshall McLuhan."
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