The Centre for Digital Humanities and Arts in Iceland is pleased to announce a new lecture series: Digital Humanities After Hours.
When: Tuesdays, 16:30 GMT
Where: University of Iceland, Edda 209
This series brings together a range of experts working across digital humanities and the arts, offering informal, engaging talks designed for a broad audience. The focus is on sharing ideas and perspectives in a clear and accessible way, making the field approachable to anyone with an interest, no prior knowledge required.
Talks will also be livestreamed on MSHL’s YouTube channel, making them accessible both on-site and online.
Full schedule below.
Recording of the lecture: Here
Sigurður Gunnarsson, National Gallery of Iceland
When Blue Isn’t Blue: Preserving Color Fidelity in Digitized Masterpieces
Sigurður Gunnarsson, photographer at the National Gallery of Iceland, will share the behind-the-scenes challenges of capturing artworks through photography, and how those challenges are solved. He will talk about creating faithful digital reproductions, getting colors just right, and the trusted methods and standards professionals use to make sure the artwork looks as true to life as possible.
Recording of the lecture: Here
Kathryn Teeter, University of Iceland
Future-Proofing the Past: 3D Scanning Icelandic Turf Houses
The Icelandic turf house is an important part of the country’s history and cultural heritage, yet these unique buildings are increasingly at risk. To ensure the survival of the turf house for future generations, we need to improve our understanding of their structural behaviour. 3D scanning is one way that digital technologies are being combined with museum conservation to increase our knowledge and support long-term conservation efforts.
Recording of the lecture: Here
Arnoud Wils, Maastricht University
From Static Pages to Interactive Stories: Using AI to bring Art Research to Life
Large Language Models have the potential to transform scanned art catalogues into structured digital resources. This presentation uses the Corpus Rubenianum (a series of over 40 volumes on Rubens) as a case study to showcase how AI can extract bibliographic references, artwork provenance data and iconographic details from unstructured, unattractive PDFs. This data can then be transformed into compelling visualisations to foster art historical research and public engagement.
Pétur Húni Björnsson, Árni Magnússon Institute for Icelandic Studies
More information soon!
Martin Roček, Charles University & Austrian Academy of Sciences
More information soon!
Emily Lethbridge, Árni Magnússon Institute for Icelandic Studies
More information soon!
Katrín Lísa L. Mikaelsdóttir, Centre for Digital Humanities and Arts, Reykjavík
Drawing the Line (and Knowing Where not to): Why Good Data Presentation Matters
More information soon!
Jóhannes B. Sigtryggsson, Árni Magnússon Institute for Icelandic Studies
Ljóslestrarforrit: lykill að luktum heimildum
More information soon!
Alice Watterson, Hornafjörður Research Center, University of Iceland
More information soon!
Katarzyna Anna Kapitan, Paris Sciences et Lettres University
Teaching a Computer to Read Medieval Icelandic Manuscripts: A Do-It-Yourself Approach
More information soon!
