معرفی
Tim Crawford is a Professorial Research Fellow in Computational Musicology at Goldsmiths, University of London's Department of Computing. He transitioned from a 15-year professional music career to academia in the 1990s, working at King’s College, University of London. His research focuses on computational approaches to music history (16th–18th centuries), digital musicology, and lute music. Notable projects include the Electronic Corpus of Lute Music (AHRC-funded) and the Transforming Musicology project involving 15 researchers and 3 PhD students across multiple universities. He also leads the Learn To Play initiative, applying machine learning to music education.
Education: While specific degrees aren't listed, his career shift from professional musician to academic implies advanced training in both music performance and computational musicology.
Research Interests: Computational musicology, early music history, lute studies, music information retrieval, and digital humanities. His work bridges historical musicology with modern computational tools, emphasizing corpus development and semantic alignment in music libraries.
Recent Articles: Focus on digital corpora (e.g., John Dowland's lute music), pragmatic digital musicology frameworks, and tools like F-TEMPO for musicological analysis. Projects emphasize scalable solutions for early music digitization and social data infrastructure for music annotation.
Grants & Collaborations: AHRC-funded projects including Transforming Musicology and Learn To Play. Collaborates internationally on initiatives like OMRAS and DLfM conferences. Supervises PhD students in computational musicology and digital libraries.
Labs/Teams: Leads teams in projects like Electronic Corpus of Lute Music and F-TEMPO tool development. Engages with interdisciplinary groups in music technology, digital humanities, and semantic web technologies.
