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Wednesday, April 6 • 2:00pm - 4:30pm
MoMA Through Time [D8]

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With MoMA Through Time, we explore the rich exhibition history of the Museum of the Modern Art (MoMA) using the exhibition dataset provided by the museum. So far, it looks at the most popular artists’ exhibition frequencies at the museum, as well as exploring how different countries and movements are represented at the museum throughout its existence. This project was originally created for "MoMA Untitled: Art Datathon," hosted by the museum and was the overall winner for the event.

Demo/Poster Presenter
avatar for Manuel Rueda

Manuel Rueda

MS Student in Data Science, Data Science Institute
Manuel Rueda is a M.S. student in Data Science at Columbia University. He received his B.S. in Economics in 2010 from ITESM (Mexico), after which he worked for 5 years on big data analysis for financial risk management. His main interests include machine learning, social data and... Read More →
avatar for Woojin Kim

Woojin Kim

MS Student in Data Science, Data Science Institute
Woojin Kim received his BS degree in Chemical Engineering from Cornell University in 2012 and MS degree in Chemical Engineering from Columbia University in 2013. He is currently pursuing a MS degree in Data Science at Columbia University. His interests include machine learning / data... Read More →

Demo/Poster Collaborator
avatar for Nomaduma Masilela

Nomaduma Masilela

Fellow at The Museum of Modern Art, The Museum of Modern Art
Nomaduma Masilela is a second-year PhD candidate who studies modern and contemporary art from Africa and the Diaspora. She is a Ford Pre-Doctoral Fellow and a Mellon Mays Undergraduate Fellow.Nomaduma received her BA from Barnard College (2007). She was a Curatorial Fellow at The... Read More →

Wednesday April 6, 2016 2:00pm - 4:30pm EDT
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

Attendees (1)