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Advancing Social Work, Public Health & Social Policy Menu Academics Master of Social Work Master of Public Health Master of Social Policy Dual Degrees 3-2 Programs PhD in Social Work PhD in Public Health Sciences AIBDA Certificate Global Opportunities Field Education Faculty & Research Faculty Professors of Practice Research Professors Teaching Professors, Senior Lecturers & Scholars Visiting & Adjunct Emeritus Faculty Research Centers Faculty Recruitment Resources & Initiatives Professional Development Clark-Fox Policy Institute Community Partnerships Field Instructor Resources Driving Equity 2030 Open Classroom Advanced Learning Certificates Grand Challenges for Social Work News Most Recent News Alumni Students Social Work Practicum Public Health Policy Faculty Research Community Engagement Diversity Global Life at Brown Admitted Student Resources Life at Brown School Our Facilities Student Support Student Groups & Events Student Body Profile Equity, Diversity and Inclusion Career Engagement International Student Support Brown School Library Student Blog St. Louis Region Washington University Apply About Driving Equity 2030 Events Alumni Contact Us Back to Search Eunhye Ahn’s research focuses on leveraging data to improve the outcomes of children and families and advance broader social goals of equity and justice. She is particularly interested in informing child welfare policy and practice by utilizing data science and promoting equitable child welfare outcomes through rigorous examination of racial and socioeconomic disparities. She integrates policy knowledge in child welfare with data science approaches with an emphasis on ethics and justice. To expand our understanding of applying data science to government, policy, and protection systems in the child welfare arena, she closely collaborates with practitioners and community partners. Her research seeks to lay the foundation for future research on aligning data science initiatives with child welfare practice and policy priorities. Some of her current projects explore the ethical use of data in child welfare to support human decision-making processes. This study also examines the biases and fairness of machine learning applied to child welfare. Eunhye Ahn Assistant Professor PhD, University of Southern California Email: [email protected] Areas of Focus: Child Abuse and Neglect Administrative Data Data Science Machine Learning Fairness In The News Brown School Welcomes 12 Dynamic New Faculty Members, Fall 2022 September 8, 2022 Quick Links: Apply About Brown School Contact Us Directions Academic Professional Integrity Policy Native Land Acknowledgement wustl.edu Keep Up with Our Latest News, Research and Insights: Support the Campaign: to Grow. to Lead. to Change. --> Founded in 1925, the George Warren Brown School was named with a generous gift from Betty Bofinger Brown in memory of her late husband. Copyright 2024 by Brown School at Washington University in St. Louis Washington University  •  One Brookings Drive   •  St. Louis, MO 63130

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