> For the complete documentation index, see [llms.txt](https://musicenfanthen.gitbook.io/eswc-2022-tutorial/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://musicenfanthen.gitbook.io/eswc-2022-tutorial/meet-the-team.md).
# Meet the team
###  David M. Weigl
💌 weigl\[at]mdw\.ac.at — :house\_with\_garden: Department of Music Acoustics – Wiener Klangstil (IWK),\
mdw – University of Music and Performing Arts — :flag\_at:Vienna (GMT+1)
:globe\_with\_meridians:
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, an FWF-funded project (Austrian Science Fund; 34664-G) to quantitatively describe the Vienna Philharmonic's New Year's Concert series using approaches from music informatics, digital musicology, and Web science.
\\
###  Stefan MĂĽnnich
💌 stefan.muennich\[at]unibas.ch — :house\_with\_garden: University of Basel — :flag\_ch:Basel (GMT+1)
:globe\_with\_meridians:
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.
---
# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.
## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.
Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:
```
GET https://musicenfanthen.gitbook.io/eswc-2022-tutorial/meet-the-team.md?ask=&goal=
```
`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.
Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.