What does data science tell us about art auctions?
This episode is syndicated from the new Harvard Data Science Review Podcast. Published by the MIT Press, Harvard Data Science Review is an open access multidisciplinary journal that defines and shapes data science as a scientifically rigorous field based on the principled and purposed production, processing, parsing and analysis of data.
In this episode, the journal’s Features Editor Liberty Vittert and Editor in Chief Xiao-Li Meng discuss art auctions with art curator Dan Cameron and Artnome’s Jason Bailey.
If you enjoy this preview of the Harvard Data Science Review podcast, find the journal on twitter at @TheHDSR and remember to subscribe to their podcast on your favorite platform.
Learn more about your ad choices. Visit megaphone.fm/adchoices
Support our show by becoming a premium member! https://newbooksnetwork.supportingcast.fm/art
Art Auctions and Data Science | New Books in Art podcast - Listen or read transcript on Metacast
