We study data patterns to understand the

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quality of life
in
NYC
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The Office of Neighborhood Safety (ONS) within the Mayor's Office of Criminal Justice (MOCJ) collaborated with community partners and an interdisciplinary team of social work scientists for the Neighborhood Navigator initiative.

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Discover

Our Story

The Neighborhood Navigator initiative sought to develop improved measures of safety and thriving in communities to inform policy and social interventions for criminal justice and community settings. It incorporated community-driven research and community engagement efforts. 

As part of this initiative, Columbia University's SAFElab conducted community focus groups and one-on-one interviews in combination with artificial intelligence (AI) techniques to provide short-term and continuous feedback on resident sentiment. 

The results will provide policymakers with insight into public sentiments and thoughts about government work and safety, allowing them to respond accordingly.

  • Social Media Analysis
  • Qualitative Interviews
  • Meeting/Focus Group
Community

We are ready

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An interdisciplinary team of social work scientists, computer scientists, designers, and researchers from Columbia University conducted research to better understand  patterns and changes in sentiment of quality of life, wellbeing, community, and living conditions among residents of New York City.

Neighborhood Navigator

Statistics

69
total interviews across NYC
38
focus group participants
20
Years average interviewees lived
in NYCHA
9
Amount of focus group participatingcommunities
5
Amount of community events attended
85%
An interdisciplinary team of social scientists
4.9/5
of social scientists
2.5M+
An interdisciplinary team of social scientists
0%
An interdisciplinary team of social scientists
2.5M+
An interdisciplinary team of social scientists
4.9/5
An interdisciplinary team of social scientists
85%
An interdisciplinary team of social scientists
12M+
Tweets analyzed pertaining to
NYCHA
10
communities represented
6+
hours of focus group data
50+
hours of interview data
1000+
different data points