Digital Seminar Series: New Directions in Eighteenth- and Nineteenth-Century Art, Season 5Abstract Submission Deadline: July 31, 2021 This digital seminar series seeks to showcase new and innovative research being undertaken on eighteenth- and nineteenth-century art and its histories. We invite contributions for papers investigating any aspect of the artistic, visual and material cultures of this…
Contingent Systems: Art and/as Algorithmic CritiqueVirtual Panel Series hosted by the Alberta University of the Arts (Calgary, Canada) – every 2nd Friday beginning September 17, 2021Call for Papers Deadline: July 6, 2021 Contingent Systems: Art and/as Algorithmic Critique is a panel series that will explore critical intersections between creative practice and algorithmic culture. Starting on…
Application Deadline: July 7, 2021Acceptance Notification: July 14, 2021 The International Digital Art History Summer School (DAHSS), a joint initiative of the University of Málaga and the University of Berkeley, with the collaboration of the Ludwig Maximilian University of Munich, the Fundación General de la Universidad de Málaga, and the HDH, will celebrate the sixth…
The Quantification of Urban Space: an introduction We live in a world of numbers. Weight and length are measured before birth. Footsteps are tallied. Square footage is priced. Air temperatures are calculated. Ice melt is tabulated. From the most intimate aspects of our lives to the global scales of our planetary environment, our world and…
Call for Papers: Styles Revisited: From Iconology to Digital Visual Studies (online/ to take place every other Monday at 2pm (GMT+1), with the dates a priori considered : September 20, October 18, November 15, December 13, 2021 and January 24, February 7, March 7, April 11, May 16, June 13, 2022)Submission Deadline: May 15, 2021…
There will be a joint Library Carpentry workshop with UC Merced, teaching the fundamentals of working with messy data. This workshop is geared toward learners in the humanities, social sciences, or natural sciences and those who work with messy data. The lessons include Git/Bash, Regular Expressions, and OpenRefine. Learners will learn to: automate repetitive, boring, error-prone…