Forms of Attraction: The Data Behind the Forms We Wear
This is a project that seeks to understand how popular forms in clothing originated from humble beginnings and gained momentum over time. Machine learning was used to extract form from images at the MET's Costume Institute. Items were then clustered with kmeans, a statistical model that can be used to train machines to predict the items that are most similar from the information given.
Kantar Information is Beautiful 2018 shortlist for People, Language & Identity.
The Migration of Art
This visualization explores how artwork travels across the globe through ownership changes and exhibitions, focusing on The Met's collection of Van Gogh paintings.
Gender and medium. Who are the most collected women and men in The Met’s Modern & Contemporary Art Collection and what did they make?
Narrative investigation of who has made the artworks in the collection by gender, the top collected artists by gender, what medium the artworks are, and the relation between medium and gender.
Other projects for the MET
Where uncertainty falls: the incidence of the word "uncertain" in The Met's collection
Finding the 36 [Google Street] views of Mount Fuji
Qualitative project that explores the famous series of landscape prints by the Japanese ukiyo-e artist Hokusai, “The Thirty-Six Views of Mount Fuji”. Secondary data maps their corresponding geolocations, and re-imagines the creation experience through Google Street Views.
Met.erials
Met-erials provides a new entry into the Met's museum collection by way of their most common material.
Other projects for the MET:
Epoch Runway
Examining a History of Collecing at The Met
This visualization dives into one of the world's most widespread collections of human culture, exploring its development over time and its reflection of history.
Albrecht Dürer @ The Met
This is an interactive story timeline for Albrecht Dürer with his artwork in The Metropolitan Museum of Art in Manhattan, New York. The sprint juxtaposes Dürer Wikipedia data, along with The Met public domain images that transpire for the object create dates of Albrecht Dürer's works of art in The Met.