NFDI4Culture Metadata API
Metadata of all resources as Linked Open Data
The NFDI4Culture portal offers all content as Linked Open Data over this RESTful API. The API implements the Hydra-Specification of the W3C Hydra Community Group. The semantic description of this API can be retrieved by clients via the Hydra documentation file (JSON). Each metadata record offered via this API can also be retrieved in one of following machine-readable LOD serializations. The API is the basis for the Culture Research Information Graph, which together with the Culture Research Data Graph forms the Culture Knowledge Graph (for more details see this presentation).
Persistent Identifier: <https://nfdi4culture.de/id/E7035>
KI in Forschung und Lehre – Expert:innenforum im Rahmen der Jahrestagung der Gesellschaft für Musikforschung in Frankfurt/Main
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- KI in Forschung und Lehre – Expert:innenforum im Rahmen der Jahrestagung der Gesellschaft für Musikforschung in Frankfurt/Main
- headline
- KI in Forschung und Lehre – Expert:innenforum im Rahmen der Jahrestagung der Gesellschaft für Musikforschung in Frankfurt/Main
- nfdicore:has url
- https://nfdi4culture.de/news/details/ki-in-forschung-und-lehre-expertinnenforum-im-rahmen-der-jahrestagung-der-gesellschaft-fuer-musikforschung-in-frankfurt-main
- datePublished
- 2026-09-29
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Coming up – the Cultural Research Data Academy, in collaboration with Dennis Ried from the Digital Musicology Section of the Society for Music Research, is organising its expert forum on the topic of ‘KI in Forschung und Lehre’.
It will take place:
- on Tuesday, 29 September 2026, from 11.00 am to 3.30 pm
- Venue: Seminar Room IG 457, Westend Campus, Norbert-Wollheim-Platz 1, 60322 Frankfurt am Main
- Conference programme: www.ae.mpg.de/fileadmin/user_upload/300-Newsroom/Downloads/GfM26-AbstractBook-14a-WEB-260918a.pdf
- Programme overview (PDF): https://www.fb09.uni-frankfurt.de/189033795.pdf
- Participation is also possible via Zoom; the Zoom link is provided below.
In the first part (AI in research):
There will be two more detailed and in-depth presentations by Clemens Gubsch and Jonatan Steller. In addition, seven lightning talks have been selected, reporting on different levels of engagement with AI; these are by Tobias Bachmann, Robert Klugseder, Severin Kolb, Friedrich Kühn, Stefan Morent, Fabian Moss and Linnaea Söhn.
The aim of these lightning talks will be to give the audience an idea of exactly what the purpose of the method or experiment was and what the experience was like.The second part (AI in teaching) focuses on the following questions:
- How can lecturers help students prepare for an AI-driven research culture?
- How can tried-and-tested methods and skills be preserved and further developed in the age of AI?
- Which tools and infrastructures have proven effective, and through which institutions can these be established, maintained and made available in a way that respects data sovereignty?
The format will be a fishbowl discussion; in our case, this will involve four colleagues in discussion, with an additional empty seat in between, which will be taken by participants from the audience to ask specific questions or raise particular concerns (this option is also available to online participants).
The ‘fish’ in our bowl are: Stefanie Aquavella-Rauch, Stefan Morent, Benedikt Schubert and, from 3.00 pm, Fabian Rack (online); Andreas Münzmay will moderate the session.
The Zoom link:
- Time: 28 September 2026, 11.00–15.30 (Amsterdam, Berlin, Rome, Stockholm, Vienna)
- Join the Zoom meeting: adwmainz.zoom.us/j/91211498078
- Join and take notes: adwmainz.zoom.us/j/91211498078
- Meeting ID: 912 1149 8078
- Quick dial from mobile: +496950502596, 91211498078# Germany or +496971049922, 91211498078# Germany
- Join via SIP: 91211498078@zoomcrc.com
- How to join: adwmainz.zoom.us/meetings/91211498078/invitations
We look forward to seeing you all at what is sure to be an exciting event.
Kind regards,
Dennis Ried, Martin Albrecht-Hohmaier, Katharina Bergmann, Andreas Münzmay und Alexander Stark
- keywords
- Digital Humanities
- Information Science
- Information Technology
- Musicology
- Consortial Activity
- Announcement
- Data
- Artificial Intelligence
- Ethics
- Research Data
- Research Software
- Right of Use
- Training
- Teaching
- nfdicore:has subject area
- Digital Humanities
- Information Science
- Information Technology
- Musicology
- contributor
- Role: Author
- nfdicore:has creator
- Martin Albrecht-Hohmaier
- about
- Expert:innen-Forum "KI in Forschung und Lehre" bei der Gesellschaft für Musikforschung 2026 in Frankfurt am Main
- action
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type : CreateAction
actionStatus : CompletedActionStatus
agent: TA 1: Community Empowerment and Shared Data Culture
result: https://nfdi4culture.de/id/E7035