The Association of German Art Historians, in collaboration with the Ulmer Verein and the Arbeitskreis Digitale Kunstgeschichte, is organising the online conference »Digital Experiences and Strategies in Art History after a Year of the Corona Pandemic« on 26/27 March 2021.
From 17-30 March 2021, »Training the Archive« was part of the »Cambridge Cultural Heritage Data School« at the University of Cambridge. To the programme.
On Wednesday, 13 January 2021 at 17:25 Dominik Bönisch, Research Project Manager, will give a presentation at the online conference »The Art Museum in the Digital Age« at the Belvedere in Vienna.
The scientific research project »Training the Archive« started at the Ludwig Forum Aachen and the HMKV Hartware MedienKunstVerein in Dortmund at the beginning of 2020. Now a new partner has been found at RWTH Aachen University in the form of the Visual Computing Institute headed by Prof. Dr. Leif Kobbelt, so that the next phase of the project can begin.
»Training the Archive« is part of the poster session at the online conference »dhnord2020 – The Measurement of Images. Computational Approaches in the History and Theory of the Artism.«
From 1-5 September 2020, »Training the Archive« was part of the DAHSS – Digital Art History Summer School at the University of Málaga.
The first prototype in the research project »Training the Archive« has been published. It makes it possible to cluster image data from a museum collection in order to identify interesting visual connections between artworks.
From November 2019 to May 2020, Dominik Bönisch, scientific project manager of »Training the Archive,« completed the so-called »KI-Schule« (AI School) of the Lower Saxony Foundation (Stiftung Niedersachsen).
At the beginning of 2020, a new scientific research project on the digital transformation in cultural institutions will start at the Ludwig Forum Aachen with »Training the Archive.« To the press release.
»Training the Archive« (2020–2023) is a research project that explores the possibilities and risks of AI in relation to the automated structuring of museum collection data to support curatorial practice and artistic production.
