Integrating AI, Deep Learning, and Spatial Analytics to Investigate Environmental Correlates of Child Neglect
In progress
A Novel Integration of Social, Perceptual, and Built Environmental Data
Integrating AI, Deep Learning, and Spatial Analytics to Investigate Environmental Correlates of Child Neglect
Summary:
The presentation discusses how to use computer vision to create indices of the built and perceptual environment and examine their association with child neglect.
Key Details:
| Short description: | The presentation discusses how to use computer vision to create indices of the built and perceptual environment and examine their association with child neglect. |
| Lead developer: | Dr. Gia Elise Barboza-Salerno |
| Further reading: | Download the [presentation slides](/Lightning talk- nationwide.pdf) for full details. |
| Main data source(s): | ZenSVI, Mapillary, Area Deprivation Index, Tree Equity Scores. |
| Coverage: | Los Angeles, California. |
| Citation: | Barboza-Salerno, G.E. (2025). Integrating AI, Deep Learning, and Spatial Analytics to Investigate Environmental Correlates of Child Neglect. Presented at the 3rd Annual Family Violence Research-Practice Networking Event, Aug 13, 2025. |
Check out the code using ZenSVI on our github page.
Dr. Gia Elise Barboza-Salerno
Director
I am an interdisciplinary scholar whose research integrates law, public health, social work, and advanced statistics to study childhood adversity, violence-related harm, and neighborhood-level inequities. I lead the ISSUES Lab at Ohio State, translating spatial and legal analysis into policy and practice.