Cross-Agency Administrative Data Sets for Actionable Intelligence

Session Submission Type: Panel

Abstract

This panel describes three projects that reflect collaborative efforts across multiple New York City agencies to improve City services by harnessing the power of multiple administrative data sets. Perez and Cassidy’s paper evaluates the Every Child and Family is Known initiative, a cross-agency initiative that assigns students living in shelter a school-based “Caring Adult” to facilitate personalized support, and finds that students in the program experienced improvements in school attendance, math test scores, and school stability. Sell’s research aims to identify characteristics and experiences of high school students that are associated with experiencing homelessness later as a young adult. It finds that students experiencing homelessness, foster care, or receiving child welfare prevention services were most likely to experience homelessness as a young adult and will benefit from targeted service delivery at critical times in their lives. Finally, Mullan’s work examines the characteristics, care trajectories, and outcomes among individuals engaged through clinician-led involuntary removals, after New York City government issued a directive to a more expansively interpretation of the circumstances under which an individual may be involuntarily removed from a public area and transported to a hospital. The study finds that removals most frequently occurred in subway stations and that individuals were most frequently transported to public hospitals; a high percentage of individuals were admitted to hospitals, there was a high prevalence of chronic mental illness, and many had been engaged with the City’s homeless service agency in the year prior to the removal.

Policy Area

• Education

Secondary Policy Area

• Health Policy

Chair

• Maryanne Schretzman, Center for Innovation through Data Intelligence

Discussant

• Marybeth Shinn, Vanderbilt University

Organizer

• Marya Kuklick, Center for Innovation through Data Intelligence

Individual Presentations

• Caring Adults Improve Outcomes for Students Experiencing Homelessness: Evidence from New York City Public Schools - Presenting Author: Michael Thomas Cassidy, Icahn School of Medicine at Mount Sinai; Non-Presenting Co-Author: Glendalis Perez, Center for Innovation through Data Intelligence

• Clinician-led Involuntary Removals in New York City: Understanding Patterns and Outcomes from an Inter-agency Initiative - Non-Presenting Co-Author: Jack Mullan, NYC Department of Social Services; Presenting Author: Kinsey Dinan, NYC Department of Social Services; Non-Presenting Co-Author: Edith M. Kealey, New York City Department of Social Services; Non-Presenting Co-Author: Andy Goldstein, NYC Department of Social Services

• Preventing Young Adult Homelessness among Students at Risk in NYC - Presenting Author: Jessica Sell, Center for Innovation through Data Intelligence; Non-Presenting Co-Author: Marya Kuklick, Center for Innovation through Data Intelligence; Non-Presenting Co-Author: Natalie S Brown, Center for Innovation through Data Intelligence; Non-Presenting Co-Author: Oliver Ponce, Center for Innovation through Data Intelligence; Non-Presenting Co-Author: Glendalis Perez, Center for Innovation through Data Intelligence; Non-Presenting Co-Author: Nebahat Noyan, Center for Innovation through Data Intelligence

• The Impact of NYC’s Gifted and Talented Program on Middle and High School Attendance and Achievement - Presenting Author: Katherine Jane Strickland, University of Florida