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Art auctions and data science -- syndicated from MIT Press journal Harvard Data Science Review

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When? This feed was archived on September 02, 2022 14:46 (1+ y ago). Last successful fetch was on October 13, 2021 15:32 (2+ y ago)

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Manage episode 302349252 series 2448427
Content provided by The MIT Press. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The MIT Press or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

100 episodes

Artwork
iconShare
 

Archived series ("Inactive feed" status)

When? This feed was archived on September 02, 2022 14:46 (1+ y ago). Last successful fetch was on October 13, 2021 15:32 (2+ y ago)

Why? Inactive feed status. Our servers were unable to retrieve a valid podcast feed for a sustained period.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

Manage episode 302349252 series 2448427
Content provided by The MIT Press. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by The MIT Press or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

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.

  continue reading

100 episodes

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