# Dan Stowell

> British academic

**Wikidata**: [Q56746747](https://www.wikidata.org/wiki/Q56746747)  
**Source**: https://4ort.xyz/entity/dan-stowell

## Summary
Dan Stowell is a British academic and researcher specializing in bioacoustics and machine listening. He has worked at institutions including Queen Mary University of London and Tilburg University, contributing to the fields of artificial intelligence and biodiversity through his research in the Centre for Digital Music.

## Biography
- Born: [date and place not provided]
- Nationality: British
- Education: [degrees and institutions not provided]
- Known for: [specific contributions not detailed in source material]
- Employer(s): Queen Mary University of London (until March 1, 2021), Tilburg University (from August 17, 2023)
- Field(s): Machine listening, bioacoustics, artificial intelligence, biodiversity

## Contributions
Dan Stowell has developed research in machine listening and bioacoustics, applying artificial intelligence techniques to biodiversity studies. His work involves analyzing audio data to identify and classify species, contributing to conservation efforts. As a member of the Centre for Digital Music, he has participated in projects that bridge the gap between computer science and biological research. His research has practical applications in environmental monitoring and species preservation through automated audio analysis systems.

## FAQs
### Q: What is Dan Stowell's area of expertise?
A: Dan Stowell specializes in machine listening, bioacoustics, artificial intelligence, and biodiversity, focusing on how technology can analyze audio data for scientific and conservation purposes.

### Q: Where has Dan Stowell worked academically?
A: Dan Stowell has been affiliated with Queen Mary University of London until March 2021 and has been associated with Tilburg University since August 2023. He is also a member of the Centre for Digital Music.

### Q: How can I follow Dan Stowell's work?
A: Dan Stowell maintains an active online presence through his website (mcld.co.uk) and social media accounts, including Twitter (@mclduk) and Mastodon (danstowell@mastodon.social).

## Why They Matter
Dan Stowell's work bridges the gap between artificial intelligence and biological research, developing technologies that can automatically analyze audio data to identify and classify species. His contributions to machine listening and bioacoustics have advanced environmental monitoring capabilities, allowing for more efficient biodiversity assessment and conservation efforts. By applying AI techniques to biological problems, Stowell's research has influenced both computer science and ecological fields, demonstrating how interdisciplinary approaches can address complex environmental challenges.

## Notable For
- British academic and researcher in bioacoustics and machine listening
- Member of the Centre for Digital Music
- Formerly affiliated with Queen Mary University of London
- Currently associated with Tilburg University
- Maintains significant social media presence with over 2,000 Twitter followers

## Body

### Academic Affiliations
Dan Stowell has held academic positions at several institutions. He was associated with Queen Mary University of London until March 1, 2021. Since August 17, 2023, he has been affiliated with Tilburg University. He is also a member of the Centre for Digital Music, indicating his involvement in research focused on digital music technologies and applications.

### Research Focus
Stowell's work centers on machine listening and bioacoustics, with applications in biodiversity. His research involves developing artificial intelligence models capable of analyzing audio data to identify and classify species. This interdisciplinary approach combines computer science with biological research, contributing to both fields through innovative methodologies and practical applications in environmental monitoring.

### Digital Presence
Dan Stowell maintains an active online presence through multiple platforms. His website (mcld.co.uk) serves as a professional hub for his work. On social media, he uses the handle @mclduk on Twitter, where he had 2,282 followers as of January 3, 2021. He is also active on Mastodon under the address danstowell@mastodon.social, where his following has grown from 554 in February 2024 to 569 by April 2024.

### Professional Identifiers
Stowell has several professional identifiers that facilitate academic recognition and citation:
- GND ID: 1065417055
- VIAF ID: 313438391
- Scopus Author ID: 26649050000
- Dimensions Author ID: 013617347017.93
- Google Scholar ID: BXu3q_wAAAAJ
- WorldCat Entities ID: E39PBJgcXQBBjbMxw3cgdXTbVC

These identifiers help track his publications and research impact across various academic databases and platforms.

## References

1. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8068-3769/employment/8101926)
2. [ORCID Public Data File 2023](https://pub.orcid.org/v3.0/0000-0001-8068-3769/employment/19053665)
3. [Source](https://data.dnb.de/opendata/authorities-gnd-person_lds.rdf.gz)
4. [ORCID Public Data File 2020](https://pub.orcid.org/v3.0_rc1/0000-0001-8068-3769/external-identifiers/1492227)
5. [Source](https://twitter.com/mclduk)