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Brian E. Perron

Professor of Social Work, School of Social Work, and Faculty Associate, Populations Studies Center, Institute for Social Research

Brian E. Perron

Brian E. Perron, PhD, is a Professor at the University of Michigan School of Social Work. Perron’s recent work focuses on helping community-based organizations use data to improve service delivery and other business processes. This includes developing user-friendly and sustainable data management systems; creating interactive data visualizations to facilitate interpretation of data, especially for non-technical users; and building organizational capacity to promote data-driven decision making. Perron helped establish and works actively with the Child & Adolescent Data Lab, where he examines services for vulnerable youth and families in the child welfare system, with the ultimate goal of improving service outcomes. His research (NCBI, Google Scholar, ResearchGate) has been supported by the National Institutes of Health, Department of Veterans Affairs and the state of Michigan. Perron is also interested in the role, application and ethical use of artificial intelligence in social work and how tools like machine learning and natural language processing can be leveraged to improve our knowledge.

Perron is passionate about teaching students about research and data analysis, with a special interest in helping students who do not have a strong math background. Perron also has considerable experience teaching both the diagnosis and treatment of mental health and substance use disorders. In addition to his research, service and teaching activities, Perron regularly participates as a student in MOOCs to ensure his skills and knowledge are current with the rapid developments of technology.

Research Interests/Focus

Service research, data science, artificial intelligence, non-profit data consulting

Education

Year Degree   School
2007 PhD Social Work Washington University, St. Louis, MO
1998 MSW Social Work University of Wisconsin, Madison, WI
1995 BA Psychology The College of St. Scholastica, Duluth, MN

Websites

Child & Adolescent Data Lab
Medium

Winter 2024

To see course dates, times or section specific details, please log in.

Quantitative Methodologies for Socially Just Inquiry SW671

Instructor: Brian E. Perron
Program Type: Residential
Format: In-Person
Credits Hours: 3

Data Visualization Applications SW672

Instructor: Brian E. Perron
Program Type: Online
Format: Online
Credits Hours: 3

Past Term Courses

Fall 2023

Course # Section Course Name
SW672 801 Data Visualization Applications View Course

Spring / Summer 2023

Course # Section Course Name
SW672 001 Data Visualization Applications View Course

Winter 2023

Course # Section Course Name
SW672 001 Data Visualization Applications View Course
SW678 802 Program Evaluation and Applied Research View Course

Fall 2022

Course # Section Course Name
SW672 001 Data Visualization Applications View Course

Spring / Summer 2022

Course # Section Course Name
SW672 001 Data Visualization Applications View Course

Winter 2022

Course # Section Course Name
SW672 001 Data Visualization Applications View Course

Spring / Summer 2021

Course # Section Course Name
SW672 001 Data Visualization Applications View Course

Winter 2021

Course # Section Course Name
SW522 002 Basic Social Work Research View Course
SW522 003 Basic Social Work Research View Course

Fall 2020

Course # Section Course Name
SW673 001 Advanced Statistics View Course

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