3rd International and Interdisciplinary Conference on Spatial Methods for Urban Sustainability (SMUS Conference) & 3rd RC33 Regional Conference Asia: India, 20.‒26.02.2023, Onsite conference hosted by Indian Institute of Technology Roorkee (IIT Roorkee, India) Session Call for Papers: “How Modality Matters? Learning from the Multiplicity of (Non-)Digital Discourse Analytical Approaches” Submission Deadline: July 15, 2022 Digital…
“Digital Humanities in Architectural History,” is a free event to be held Tuesday, June 28, from 11:00 AM – 12:30 PM CDT / 12:00 – 1:30 PM EST / 9:00 – 10:30 AM PDT. This is a second collaborative project of SAH WiA AG and Carlton University | Art & Architectural History, and with SAH Archipedia, organized by Dr. Gül…
The Future of the Virtual Past – New Directions and Shared Standards in the Reconstruction of the Medieval-Renaissance Built Environment Online (Zoom) /Frankopan Hall, Jesus College, University of Cambridge – 10:00 am – 6:00 pm (BST) / 2:00 am – 10:00 am (PDT) An international interdisciplinary conference organized by Donal Cooper (University of Cambridge) and…
LD4 Conference on Linked Data: Linking Global Knowledge Co-Chairs Joe Cera, Jim Hahn, and Mary Seem are excited to announce that registration for the 2022 LD4 Conference is open! Join them virtually on July 11-15, 2022 to learn concrete ways that linked data benefits GLAM institutions and discover pathways to participation in linked data. The…
Article by Benjamin Sutton (The Art Newspaper, published 4 January 2022) Art historians may have a new tool for settling the attribution of disputed paintings using artificial intelligence (AI) thanks to research by a cross-disciplinary team led by physicists at Case Western Reserve University in Cleveland, Ohio. The research, published in November in the journal Heritage…
By Audrey Altman, March 30, 2022. Curatorial work with large archival collections is challenging. In order to find artifacts related to a chosen topic, curators have to sift through thousands – sometimes millions – of materials and determine which are truly relevant. Machine learning can help streamline curatorial workflows by analyzing complex datasets and making…