Launched by Boston University professor Jodi Cranston, Mapping Paintings is an open-source, searchable platform for compiling provenance data for individual artworks (not just paintings, despite its name), from owners to past locations to details of sales or transactions. It allows you to select artworks of interest and visualize their records across time and space, as…
Registration is now open for the California Visual Resources Association Conference (CaVraCon). All CaVraCon events will be held June 12-13 at Wurster Hall at UC Berkeley. We welcome information professionals in archives, commercial enterprises, libraries, museums, and visual resources collections (academic, corporate, private) as well as students and interested members of the public to attend.…
The Getty Provenance Index® has added 138,000 database records of art sales from the 1600s and 1700s, including the earliest known catalog published in Britain. This brings the cumulative Databases holdings to more than 1.7 million records taken from source material such as archival inventories, auction catalogs, and dealer stock books. Quantity and scope of…
The Wired! Group at Duke University is hosting and livestreaming a symposium on Monday, Feb. 22, called “Apps, Maps & Models: Digital Pedagogy and Research in Art History, Archaeology & Visual Studies”. The focus is on the use of digital tools in art historical and archaeological research. The sessions run 9am-1pm and 2-5pm (Note that…
This list of DH tools was created during the HASTAC (Humanities, Arts, Science, and Technology Alliance and Collaboratory; “haystack”) Scholars Unconference at Michigan State University on May 27, 2015. The list in a work-in-progress, with additional tools and insight offered in the comments. Topics include: Media Creation/Annotation (Video/Audio/Image) Project Management Text Processing/Annotation Reference System Archive/Content…
Researchers say they have created a quantitative way to assess “creativity” in works of art that they argue comes close to a scholarly assessment. Ahmed Elgammal and Babak Saleh (The Art and Artificial Intelligence Laboratory, Department of Computer Science, Rutgers University) used 1,710 paintings available on Artchive.com and ran them through their algorithm that looked…