Brian E Perron
Professor of Social Work, School of Social Work and Faculty Associate, Population Studies Center, Institute for Social Research
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BIO
Dr. Perron’s research focuses on mental disorders and addiction, emphasizing services, clinical epidemiology, and measurement. In recent work he explores the effective use of administrative data to improve service delivery and other business processes in service organizations.
- Brian E Perron, Bryan G. Victor, Zia Qi. 2026. Evolution of Social Work Knowledge Production Over 35 Years: An AI-Enabled Analysis of Trends in Empiricism, Methodology, Collaboration, Citation Patterns, and Output. Research on Social Work Practice
- Brian E Perron, Zia Qi. 2025. Theoretical and Methodological Shifts in Social Work Research: An AI-Driven Analysis of Postmodern and Critical Theory at the SSWR Annual Conference. Research on Social Work Practice
- Brian E Perron, Barbara S. Hiltz, Erin M. Khang, Sue Ann Savas. 2025. AI-Enhanced Social Work: Developing and Evaluating Retrieval-Augmented Generation (RAG) Support Systems. Journal of Social Work Education 61(1):3-13.
- Hui Luan, Brian E Perron, Yu Zhang. 2025. Co-authorship Networks in Left-Behind Children Research in China: A Social Network Analysis. Research on Social Work Practice 35(8):955-967.
- Brian E Perron, Hui Luan, Bryan G. Victor, Oliver Hiltz-Perron, Joseph Ryan. 2025. Moving Beyond ChatGPT: Local Large Language Models (LLMs) and the Secure Analysis of Confidential Unstructured Text Data in Social Work Research. Research on Social Work Practice 35(6):695-710.
- Maria Y. Rodriguez, Lauri Goldkind, Bryan G. Victor, Barbara Hiltz, Brian E Perron. 2024. Introducing Generative Artificial Intelligence Into the MSW Curriculum: A Proposal for the 2029 Educational Policy and Accreditation Standards. Journal of Social Work Education 60(2):174-182.
- Bryan G. Victor, Lauri Goldkind, Brian E Perron. 2024. Forum: The Limitations of Large Language Models and Emerging Correctives to Support Social Work Scholarship: Selecting the Right Tool for the Task. International Journal of Social Work Values and Ethics 21(1):200-207.
- Perron, Brian E, Ryan, Joseph P, Victor, Bryan G, Bushman, Gregory , Moore, Andrew , Lu, Alex Jiahong, Piellusch, Emily K. 2019. Detecting substance-related problems in narrative investigation summaries of child abuse and neglect using text mining and machine learning. Child Abuse & Neglect 98:104180.
- Perron, Brian E, Wang, Miao , Victor, Bryan G, Wu, Shiyou . 2019. Associations between family structure and social-emotional development among school-aged children in mainland China. Asia Pacific Journal of Social Work and Development :1-15.
- Perron, Brian E, Wang, Miao , Victor, Bryan G, Hong, Jun Sung, Wu, Shiyou , Huang, Jin , Luan, Hui . 2019. A Scoping Review of Interventions to Promote Health and Well-Being of Left-behind Children in Mainland China. The British Journal of Social Work