The NYU McSilver Institute for Poverty Policy and Research and the Fordham University Graduate School of Social Service invite you to an important learning opportunity that will include panels and an interactive conversation about how predictive risk modeling may be used, and is being used, in child welfare practice. Learn what predictive modeling risk is, how this “tool” is currently being used outside New York, and the concerns advocates and others have raised, including with regard to re-creating disproportionate representation of Black families in the child welfare/family regulation system.

Hear from experts who have helped design predictive risk models; an official from Los Angeles County where predictive modeling is being implemented; the ACLU, which has conducted a national survey on predictive analytics in child welfare systems; and from an authority on how people react emotionally and internally, often unconsciously, to these and other issues that are connected to race and bias.

Moderator

Michael A. Lindsey, PhD, MSW, MPH
Executive Director
NYU McSilver Institute

Panelists

J. Khadijah Abdurahman
Fellow at Columbia University, AI Now Institute, UCLA C2I2

Jennie Feria, LCSW
Deputy Director
Los Angeles County Department of Children and Family Services

Aaron Horowitz
Chief Data Scientist
ACLU

Emily Putnam-Hornstein, PhD
Director of Policy Practice
UNC Chapel Hill School of Social Work
Co-Director
Children’s Data Network

Anjana Samant
Senior Staff Attorney
Women’s Rights Project, ACLU

Rhema Vaithianathan
Professor, Social Data Analytics
The University of Auckland