معرفی
Professor Jennifer Bain holds a position in Musicology at the Fountain School of Performing Arts, Dalhousie University, with a cross-appointment in Gender and Women's Studies. Her work bridges historical and modern scholarship, focusing on medieval musical traditions and their contemporary interpretations.
Education:
- Bachelor of Music (BMus) from Wilfrid Laurier University
- Master of Arts (MA) from McGill University
- Doctor of Philosophy (PhD) from Stony Brook University
Research Interests: Professor Bain’s research explores the secular music of Guillaume de Machaut, medieval music theory, digital chant analysis, and the 19th-20th-century revival of Hildegard of Bingen. She emphasizes the role of women in music composition and production, particularly in medieval contexts. Her interdisciplinary approach integrates digital humanities, chant studies, and music historiography.
Publications Trends: Her recent articles highlight digital methodologies applied to medieval music, such as MEI encoding and optical music recognition. She also examines the cultural and historical reception of Hildegard, underscoring her legacy and modern reinterpretations. Collaborative editing projects, including work on Florilegium and Music Theory Online, reflect her leadership in academic publishing.
Awards & Grants:
- Recipient of the 2020 Sheila K. Piercey Award for Performing Arts Educators
- Elected to the Royal Society of Canada’s College of New Artists, Scholars, and Scientists (2016)
- Principal Investigator of multiple SSHRC grants, including a Partnership Grant (2023–2030) funding digital chant research
Advising & Grants: While no advisees are listed, her roles as editor and grant PI indicate significant contributions to mentoring through editorial projects and research initiatives. Her grants also support interdisciplinary teams working on chant transmission and early music notation.
Labs & Teams: Bain leads projects in digital musicology, collaborating with institutions like the Digital Research Alliance. Her work often involves cross-disciplinary teams focused on technology’s role in musicological research, such as the MEI encoding collaboration with Behrendt, Fujinaga, and others.
