معرفی
Amanda Wasielewski serves as Associate Senior Lecturer of Digital Humanities and Associate Professor (Docent) of Art History at Uppsala University's Department of ALM (Art History, Musicology and Theatre Studies). Her academic work bridges traditional art historical scholarship with cutting-edge digital methodologies, focusing on how computational technologies reshape artistic practice, cultural heritage institutions, and art historical research itself.
Dr. Wasielewski's research interests center on the critical examination of digital technologies in art contexts, with particular emphasis on artificial intelligence applications in art history, digital humanities methodologies, virtual reality experiences in cultural institutions, and the transformation of visual culture through digital mediation. Her work consistently interrogates the theoretical implications of computational approaches to art historical study while developing practical digital research methods.
Analysis of her recent publications (2021-2025) reveals a pronounced shift toward critical engagement with generative AI systems like Midjourney and DALL-E, examining their impact on artistic creation, photographic authenticity, and art historical representation. Her scholarship demonstrates how AI image generators reanimate historical art canons while exposing fundamental limitations in computational understanding of visual concepts. This work positions her at the forefront of critical digital art history as a distinct scholarly field.
Dr. Wasielewski has established herself as a leading voice in critical digital art history through significant publications including the 2023 MIT Press monograph Computational Formalism: Art History and Machine Learning and the forthcoming 2024 edited volume Critical Digital Art History (Intellect Press). Her editorial work includes the 2020 special issue of Digital Culture & Society titled "The Politics of Metadata."
Her methodological contributions include developing techniques for bulk processing humanities texts and analyzing art historical datasets, demonstrating both theoretical sophistication and practical research skills. Dr. Wasielewski's work consistently bridges computational methods with deep art historical knowledge, creating a distinctive scholarly position at the intersection of traditional humanities and digital innovation.
