Meet the team

David M. Weigl

💌 weigl[at] —
Department of Music Acoustics – Wiener Klangstil (IWK), mdw – University of Music and Performing Arts —
Vienna (GMT+1)
David holds a PhD from the School of Information Studies, McGill University, where he conducted research into the notion of 'relevance' in music information retrieval. After four years of postdoctoral research into music and Linked Data at the University of Oxford's e-Research Centre, he moved to the mdw - University of Music and Performing Arts Vienna. There, he acted as Data Officer on the recently completed EU Horizon 2020-funded TROMPA Project (Towards Richer Online Music Public-domain Archives), before taking on the role of P.I. of Signature Sound Vienna, a project to quantitatively describe the Vienna Philharmonic's New Year's Concert series using approaches from music informatics, digital musicology, and Web science.

Stefan Münnich

💌 stefan.muennich[at] —
University of Basel —
Basel (GMT+1)
Stefan received his PhD from the department of musicology at the University of Basel in 2020 with a dissertation on music notation and its codes (Musikalische Schrift und ihre Codes). He works as a research associate at the Anton Webern Gesamtausgabe, Basel, where he explores ways to apply RDF-based semantic models for the purpose of a scholarly digital music edition. He is committed to promoting, communicating, and integrating Semantic Web approaches in (German-language) traditional musicology. Stefan is an active member of the MEI community and together with David M. Weigl co-chairs the MEI Linked Data Interest Group. He has co-organized workshops on “Linked Data and Music Encoding” at the Music Encoding Conference 2019 and at the Edirom Summer School 2019.
Last modified 1yr ago