Since technology is responsible for growth in the world’s collective knowledge, it also shares the responsibility of categorizing that knowledge into easily digestible bites. Because what’s the use of this glut if it can’t easily be understood? And in order for data to have the largest possible impact, doesn’t it make sense for it to be understandable by researchers and blog-readers alike?
This conflict is one of the main issues breathing life into the Advanced Data Visualization Project (ADVP), a data analyzation project now in its second year at Columbia University. Birthed from a collaboration between international newswire Thomson Reuters and Columbia University’s Graduate School of Architecture, Planning and Preservation (GSAPP), the ADVP is looking to make intricate systems--like neurons, international port logistics and library catalogues--both easily readable and stunningly beautiful.
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