Ada.Labs
Beyond the expansion of computational infrastructures, an active and critical design of the digital transformation in the humanities asks for new, interdisciplinary and open spaces that correspond to the demands of digitisation as much as they pay attention to the specifics of humanist research cultures and traditions. To this end, the »Ada Lovelace Center for Digital Humanities« works to develop and explore an interdisciplinary lab culture within the humanities.
A series of thematically as well as methodologically focused knowledge spaces - the ADA.Labs - forms the core of our work at the Center. Our ADA.Labs connect heterogeneous expertise within the field in an open and inclusive manner.
The following pages present active labs or tease future work. The number of currently active ADA.Labs can be expanded at any time. Proposals and inquiries regarding the establishment of an ADA.lab are highly welcome!
Digital Audio-Visuality »DAV.lab«
In cooperation with the Kolleg Cinepoetics und Aureka.ai
(Prof. Dr. Jan-Hendrik Bakels, Prof. Dr. Matthias Grotkopp & Cecilia Maas, Laura Sofia Salas, Felix Mertineit)
How can the potentials of digital research methods and tools be used in the analysis of multimodal and especially audio-visual content and media in order to answer or even pose new complex research questions in the humanities from a historical and film studies perspective? In the DAV.Lab we combine the work of the FU project "Affektrethoriken des Audiovisuellen (Ada)" and the FU spin-off "Aureka.ai" in order to open new ways in the digital research of audio-visual content. Among other things, we are concerned with questions and methods of:
- software-supported video annotationpossibilities of automated video analysis
- a (semi-)automated recognition of e.g. cut objects in the image or camera movements as well as
- The potentials of Artificial Intelligence and Machine Learning in the evaluation and indexing of audio-visual content (such as eyewitness reports, interviews, films, TV or radio reports).
More information to follow.