Participation in the DHCH@ISR 2022 event
Giacomo Alliata, doctoral assistant in the Laboratory of Experimental Museology eM+, has participated in the DHCH@ISR 2022 event in Rome, Italy, in June 2022, with a presentation on "Exploring Large Audiovisual Archives through Embodied Experiences in Immersive Environments".
Participation to the Creativity and Cognition 2022 conference
Giacomo Alliata, doctoral assistant in the Laboratory of Experimental Museology eM+, has participated in the graduate student symposium of the Creativity and Cognition 2022 conference in Venice, Italy, in June 2022, with a paper on "Redefining Access to Large Audiovisual Archives through Embodied Experiences in Immersive Environments: Creativity & Cognition 2022 - Graduate Student Symposium".
Participation to the DARIAH-EU 2022 annual event in Athens, Greece
Giacomo Alliata and Yuchen Yang, doctoral assistants in the Laboratory of Experimental Museology eM+, have participated in the DARIAH-EU annual event 2022 in Athens, Greece, in May 2022, with a poster on "Exploring large audiovisual archives through storytelling in an immersive environment: a conceptual framework".
Reactivating Eye Filmmuseum’s 68mm Biograph Films
Eye Filmmuseum’s contribution to Narratives from the Long Tail is a selection of high-resolution digitized films from its Mutoscope & Biograph Collection. As explained elsewhere on this website, these remarkable early silent films were made between 1897 and 1903 by the American Mutoscope & Biograph Company, which was based in the United States, and by […]
The Forgotten Margins of AI Ethics
Birhane et al. (2022) shared their review on the heated topic of AI ethics in the latest paper, and answered the question “How has recent AI Ethics literature addressed topics such as fairness and justice in the context of continued social and structural power asymmetries?” [Abstract] How has recent AI Ethics literature addressed topics such […]
Sensible AI: Re-imagining Interpretability and Explainability using Sensemaking Theory
The most recent work from Kaur et al. (2022) explores the interpretability and explainability of machine learning models through sensemaking theory. [Abstract] Understanding how ML models work is a prerequisite for responsibly designing, deploying, and using ML-based systems. With interpretability approaches, ML can now offer explanations for its outputs to aid human understanding. Though these […]
The digital turn of audiovisual archives
Digitisation, Digital transformation, Datafication With the rise of computational methods for humanities research, as well as the increasing born-digital materials out there, archives around the globe are experiencing a digital turn. Compared to practices years ago where the focus is predominantly on digitising physical objects, nowadays practices cover all aspects of record-keeping – creation, capturing, […]