Understanding and preventing child maltreatment through data science
Official title: The Center on Causal Data Science for Child Maltreatment Prevention (the CHAMP Center)
Funded at New York University School of Medicine · NIH-10920429 · Data updated 2026-11-12
This study is looking into what causes child abuse and neglect so we can come up with better ways to prevent it and keep kids safe in our communities.
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) | $1,513,828 |
| NIH project number | 5P50HD112027-02 |
| Project ID | NIH-10920429 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children aged 0-11 years who are at risk of experiencing maltreatment or who have been identified as victims.
✕Less likely to help
Children who are not at risk of maltreatment or who are outside the age range of 0-11 years may not benefit from this research.
What this research studies
This research focuses on identifying the complex causes of child maltreatment and developing effective prevention strategies. By utilizing advanced data science techniques on large datasets, the project aims to uncover the underlying factors contributing to various forms of maltreatment, such as physical abuse and neglect. The goal is to translate these findings into actionable interventions that can be implemented at a community level to protect vulnerable children. This initiative seeks to bridge the gap between scientific knowledge and practical application in child welfare.
Why it matters
Potential benefit: If successful, this research could lead to significant improvements in the prevention of child maltreatment, ultimately enhancing the health and well-being of children.
How similar studies have gone: Previous research has shown promise in using data science approaches to understand and address child maltreatment, indicating that this methodology could yield valuable insights.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Saxe, Glenn N — New York University School of Medicine
- Study coordinator: Saxe, Glenn N
Related research
Other NIH-funded projects on the same topics.
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Understanding how state income support affects pediatric hospitalizations and child maltreatment
This project looks at how different state policies that provide income support to families influence hospital stays for kids and rates of child maltreatment.
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Pilot test of a telehealth-based approach to improve child maltreatment prevention reach and quality
A pilot project will test a telehealth-enabled approach to help more families access high-quality, safe child maltreatment prevention services.
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CHAMP Center: Causal Data Science to Prevent Child Maltreatment
A large, team-based effort uses advanced data science to understand what causes different kinds of child maltreatment so that better prevention approaches can be developed for kids 0-11 and their families.
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Preventing child maltreatment by supporting pregnant women and early childhood relationships
A multi-site trial tests programs delivered during pregnancy and when children are ages 3–6 to reduce child maltreatment and promote healthier parent-child bonds.
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Dissemination and Outreach Core for Penn State's Translational Center for Child Maltreatment Studies
A national research center is funding outreach efforts to help child protective services use evidence to better prevent and respond to child maltreatment.
-
Telehealth for adolescent sexual assault forensic care (SAFE-T) expansion
A nationwide program helps rural and underserved hospitals give expert, trauma-informed sexual assault care to adolescent survivors through telehealth support.
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.