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NYC Digital Art History

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Mission:
The New York City Digital Art History (NYC-DAH) group brings together local institutions and individuals with an interest in the practice of digital art history. The NYC-DAH is an opportunity for art historians, artists, curators, conservators, students, and members of the GLAM community (galleries, libraries, archives, museums) to meet each other and share knowledge, projects, and initiate collaboration.

The immediate goal of the group is community building. Through the NYC-DH website and community activities, the group aims to connect key institutions and individuals, and build a dynamic network of digital art historians, designers and engineers.

Our first workshop took place on February 11, 2016 at the Institute of Fine Arts, New York University. Join the NYC DAH group to get updates on the group’s activity and upcoming events.

NYC-DAH Steering Group:
Chair: Jason Varone, The Institute of Fine Arts, NYU
Burcak Ozludil Altin, New Jersey Institute of Technology
Matthew Israel, Artsy
Gabriel Rodriguez, Columbia University
Katharine Wright, The Metropolitan Museum of Art

“The Art of Seeing: Aesthetics at the Intersection of Art and Science” (12/10)

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    • November 30, 2015 at 2:22 pm #1428
      Matthew K. Gold
      Keymaster

      Hi All,

      GC Digital Initiatives/CUNY DHI will host an art history/computer science event on December 10. Please pass this announcement on to anyone who might be interested. Thanks!

      best,

      Matt

      —

      “The Art of Seeing: Aesthetics at the Intersection of Art and Science”

      Thursday, December 10th, 4:15-5:30p
      The Science Center, Room 4102
      The Graduate Center, CUNY.

      Featuring:
      Emily L. Spratt, Dept. of Art and Archaeology, Princeton University and Ahmed Elgammal, Dept. of Computer Science, Rutgers University

      In this two-part presentation, art historian Emily L. Spratt and computer scientist Ahmed Elgammal explore the uses of vision technology for the analysis of art and its philosophical implications for both aesthetic theory and artificial intelligence. Through an investigation of the most fundamental questions computer scientists are confronted with in giving a machine the capacity to see, we demonstrate the value in utilizing methodologies from art history as the field of computer vision has already, in fact, predicted certain categories of interpretation that aid in the analysis of art. Returning to the aesthetic debates inspired by Kant and renewing focus to the art historical theories of iconography and iconology that were prominent in the first half of the twentieth century, basic issues of object classification are examined in relation to vision technology. In this presentation, we hope to demonstrate the merit of bridging the fields of art history and computer science, and to underscore the new challenges aesthetics, in the age of artificial intelligence, face.

      http://cunydhi.commons.gc.cuny.edu/2015/11/23/announcing-the-art-of-seeing-aesthetics-at-the-intersection-of-art-and-science/

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