Indiviual presentations -- in video and dowloadable form, where available -- are detailed below.
If you wish to download the agenda for the event and/or biosketches of the presenters, use the links here:
Download Agenda (PDF, 188 KB)
Download Biosketches (PDF, 360 KB)
Dean Steve Anderson, University of Illinois at Urbana-Champaign School of Social Work
Dr. Steve Anderson, Dean of the School of Social Work at University of Illinois Urbana-Champaign, discusses opportunities for partnership among researchers and the Illinois child welfare community in using predictive analytics to support decisionmaking. He introduces the illustrious panel assembled for the Forum (via videofeed).
Emily Putnam-Hornstein, Associate Professor of Social Work, University of Southern California
Dr. Emily Putnam-Hornstein, a leading scholar in predictive risk modeling in child welfare, provides an overview of predictive risk modeling as a tool for decision making, defines some key terms and concepts, and shares her application of this method in California’s child welfare system. She builds upon research with Allegheny County Human Services department to use predictive risk modeling to support screening decisions from hotline calls.
Dana Weiner and Brian Chor, Chapin Hall Center for Children
Dr. Dana Weiner and Dr. Brian Chor discuss the overall approach to working with New York City’s Administration for Children’s Services, and applying predictive risk modeling to understanding the level of care, attention, and service a target population may need. They present some ethical and technical challenges in the work, and examples of the predictive risk models used.
Michelle Rawlings, Bureau Director, Wisconsin Department of Children and Families
Tami Fuller, Director, Children and Family Research Center, University of Illinois Urbana-Champaign
Michelle Rawlings from the Wisconsin Department of Children and Families and Dr. Tami Fuller, Director of UIUC’s Children and Family Research Center discuss the overall approach to applying predictive risk modeling in decision making with families that have reunified. They discuss lessons learned from different phases of predictive modeling work, and strategies they used to create and apply predictive risk models.
Erin Dalton, Deputy Director, Office of Analytics, Technology, and Planning, Allegheny County Department of Human Services
Erin Dalton, Deputy Director for the Office of Analytics, Technology, and Planning discusses Allegheny County’s use of predictive risk modeling. She highlights the data sources used, implementation process, uses of the predictive risk scores to improve decisionmaking with hotline calls, evaluation findings, and implementation changes over time.
Participants in the 2019 Illinois Predictive Analytics Forum engage in Q and A with Forum presenters: Emily Putnam-Hornstein (USC Professor discussing work with California Department of Social Services and Allegheny County Department of Human Services), Erin Dalton (Allegheny County Department of Human Services), Dana Weiner and Brian Chor (Chapin Hall Center for Children researchers discussing work with New York City Administration for Children’s Services), Michelle Rawlings and Tami Fuller (Children and Family Research Center's work with the Wisconsin Department of Children and Families).