معرفی
Dr. Colin Bannard is a Senior Lecturer in Linguistics at the University of Manchester’s Linguistics and English Language department. His research focuses on quantitative methods in cognitive science, particularly data-intensive analyses of language development across the lifespan. His work bridges experimental and computational approaches to explore language production, balancing habitual and intentional control mechanisms. Key areas include early childhood language emergence, impaired language use in conditions like Parkinson’s disease, and conversational dynamics in autistic children.
Education & Previous Roles:
- PhD in Computational Linguistics from the University of Edinburgh
- Postdoc at Max Planck Institute for Evolutionary Anthropology (Leipzig, Germany)
- Formerly: Assistant Professor at University of Texas at Austin and LuCiD Lecturer in Psychology at University of Liverpool
Teaching: Leads modules on Computational Linguistics and Psycholinguistics.
Research Interests: Combines computational modeling with experimental studies to investigate language development. Key themes include verb production errors in children, corpus-based analyses of language acquisition, and socio-economic influences on vocabulary growth. His work on autistic children explores conversational patterns and cognitive abilities, while his studies on Parkinson’s disease examine habit-driven language deficits.
Awards: No awards explicitly listed, though his research contributes to UN Sustainable Development Goals related to education and health (Digital Futures and Creative Manchester initiatives).
Grants & Advising: No grants explicitly mentioned, but his research involves collaborative projects (e.g., with University of Liverpool, UT Austin). His advising role and student collaborations are inferred from his research outputs but no named students are listed.
Labs/Teams: Engaged in interdisciplinary teams focusing on language development, computational linguistics, and neurocognitive approaches. Collaborates internationally on projects like the LuCiD initiative.
