Understanding and preventing child maltreatment through data science
Official title: Resource Core
Funded at New York University School of Medicine · NIH-10920434 · Data updated 2026-11-12
This study is looking at what causes and predicts child abuse so we can create helpful tools to prevent it, and it's designed for people who work with kids and want to make a difference.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | New York University School of Medicine NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 5, 2023 |
| Project end | August 31, 2028 |
| Funding year | 2024 |
| Award (this year) | $136,673 |
| NIH project number | 5P50HD112027-02 |
| Project ID | NIH-10920434 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children and adolescents who are at risk of maltreatment or have experienced maltreatment.
✕Less likely to help
Patients who are adults or those who do not have a history of maltreatment may not benefit from this research.
What this research studies
This research focuses on identifying the factors that predict and cause maltreatment in children and adolescents. It aims to develop accessible tools for prevention and to validate these tools through field trials. The project utilizes advanced data science techniques to analyze complex data and translate findings into practical applications for those working to prevent child maltreatment. Additionally, it seeks to educate scientists on the use of causal data science in addressing maltreatment-related issues.
Why it matters
Potential benefit: If successful, this research could lead to effective tools and strategies for preventing child maltreatment, ultimately improving the safety and well-being of children.
How similar studies have gone: Previous research has shown promise in using data science approaches to address child maltreatment, but this specific application is innovative and aims to expand on existing knowledge.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Kummerfeld, Erich — New York University School of Medicine
- Study coordinator: Kummerfeld, Erich
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About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.