Session: From Data to Decision-Making: Emerging AI Methods for Social Work Research and Practice (Society for Social Work and Research 31st Annual Conference)

210 From Data to Decision-Making: Emerging AI Methods for Social Work Research and Practice

Schedule:
Saturday, January 23, 2027: 8:00 AM-9:30 AM
Union Station 24 (Hilton San Francisco Union Square)
Cluster: Research Design and Measurement
* noted as presenting author
Community-Engaged AI for Youth Homeless Services: A Perspective on Data, Equity and Opportunity
Eric Rice, PhD, University of North Carolina, Chapel Hill; Jaspreet Ranjit, University of Southern California; Peichen Liu, MSW, University of Southern California; Swabha Swayamdipta, PhD, University of Southern California; Lindsay Young, PhD, University of Southern California; Olga Koumoundouros, MFA, University of Southern California; Laura Onasch-Vera, MSW, My Friend's Place; Bill Tang, University of Southern California; Nicole Haseman, MSW, University of North Carolina at Chapel Hill; Hailey Winetrobe Nadel, MPH, CHES, University of North Carolina at Chapel Hill; Brian Rice, MDCM, Stanford University; Hsun-Ta Hsu, PhD, University of North Carolina at Chapel Hill
From Narrative to Knowledge: Developing an Ontology-Based Sdoh Extraction Pipeline from Pediatric Psychosocial Assessments
Mike Killian, PhD, Florida State University; Xiaoyu Wang, MS, Florida State University; Sonnie Mayewski, MSW, Florida State University; Grace Cavnar, MSW, Florida State University; Felix Preston, BSW, Florida State University; Dipankar Gupta, MBBS, DCH, M.D., University of Florida; Zhe He, PhD, Florida State University
Toward Rigorous Data Science: A Systematic Review and Evaluation of AI and Data Science Methods In Social Work and Welfare Policy
Woojin Jung, PhD, MSW/MPP, Rutgers University; Vatsal Shah, BS, Rutgers University; Mozammel Hoque, MPI, Rutgers University
Unequal Care By Design? a Multilingual Audit of AI-Generated Mental Health Support for Immigrant Communities
Cheng Chow, MPhil, University of Texas at Austin; Xiuer Gu, The University of Texas at Austin
When AI Isn’t Enough: Preserving Meaning through Human and Community Verification In Qualitative HIV Prevention Research
Joanna Barreras, PhD, MSW, California State University, Long Beach; Nina Harawa, PhD, University of California, Los Angeles; Laura Bogart, PhD, Charles R. Drew University of Medicine and Science; Jesse Robledo, University of California, Los Angeles
See more of: Oral Presentations