CASE STUDY GLYPTOTHEK
One focus for DUST AND DATA is the Glyptothek of the Academy of Fine Arts, Vienna, which is a collection of plaster casts dating back to the late 17th century. The Glyptothek itself is currently known to a very limited public only, but DUST AND DATA aims to bring its content back to the attention of both digital and real life audiences in the 21st century.
CASE STUDY VOLKSKUNDEMUSEUM WIEN
We are working on applying machine learning and AI to the digital collections of the Austrian Museum of Folk Life and Folk Art and their journal Österreichische Zeitschrift für Volkskunde, which has been published since 1895.
CASE STUDY BELVEDERE
We are aiming to compute semantic pathways through the fine arts collection of the Belvedere, Vienna, enabling co-curation of man and machine. The Belvedere houses a famous collection of Austrian art dating from the Middle Ages to the present day, completed by works of international artists.
Flexer A.: Computational filling of curatorial gaps in a fine arts exhibition, in Proceedings of the Twelfth International Conference on Computational Creativity (ICCC ’21), pp. 2-5, 2021.
Flexer A.: Discovering X Degrees of Keyword Separation in a Fine Arts Collection, in Proceedings of the 37th International Conference on Machine Learning, Machine Learning for Media Discovery Workshop, Vienna, Austria, PMLR 108, 2020.