Session: Innovating the Social Safety Net: Access, Administration, and Service Delivery (Society for Social Work and Research 31st Annual Conference)

105 Innovating the Social Safety Net: Access, Administration, and Service Delivery

Schedule:
Friday, January 22, 2027: 9:45 AM-11:15 AM
Union Station 23 (Hilton San Francisco Union Square)
Cluster: Inequality, Poverty, and Social Welfare Policy
* noted as presenting author
Key Predictors of Economic Well-Being of Single Mother Families: A Random Forest Model
Yeqing Li, University of Wisconsin-Madison; Hunmin Cha, MSW, Ohio State University
Reaching Families Where They Are to Increase WIC Benefit Redemption: A Cluster-Randomized Study of a Text Message Intervention
Dan Ferris, PhD, Washington University in Saint Louis; Todd Combs, Washington University in Saint Louis; Amanda Gilbert, PhD, Washington University in Saint Louis; Angie Oesterly, Missouri Department of Health and Senior Services; Eden Mersiehazen, Washington University in Saint Louis; Abel Regassa, Washington University in Saint Louis; Stephen Roll, PhD, Washington University in Saint Louis; Jason Jabbari, PhD, Washington University in St. Louis; Tyler Frank, MS, Washington University in Saint Louis; Sarah Moreland-Russell, Washington University in Saint Louis
Forecasting Child Care Subsidy Receipt Using Linked Administrative Data: A Preliminary Massachusetts Study
Yoonsook Ha, PhD, MSSW, Boston University; Kyle Xu, BA, Boston University; Gang Seob Jung, PhD, Oak Ridge National Laboratory; Qiang Zhang, University of Alabama; Sangmi Kim, MSW, University of Tennessee, Knoxville; Hee Lee, PhD, University of Georgia
Simplifying Administration, Strengthening Care: Insights from Illinois’ Medicaid Continuity of Care 1115 Demonstration
Chi-Fang Wu, PhD, University of Illinois at Urbana-Champaign; Crystal Reinhart, PhD, University of Illinois at Urbana-Champaign; Aidan Berg, MA, University of Illinois at Urbana-Champaign; Wei-Cheng Liu, MSW, University of Illinois at Urbana-Champaign
Using Linked Administrative Data for Predicted Probabilities of Homelessness: An Opportunity to Enhance Targeting In Arizona
Lara Law, LMSW, Arizona State University; Ryann Whealy, PhD, Northern Arizona University
See more of: Oral Presentations