Understanding and preventing child maltreatment through data science.
Official title: Research Project 1
Funded at New York University School of Medicine · NIH-10920437 · Data updated 2026-11-12
This study is looking into what causes different kinds of child abuse and neglect, and it aims to create helpful tools for professionals to better support kids and families, making sure they get the right help to prevent these issues.
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) | $526,122 |
| NIH project number | 5P50HD112027-02 |
| Project ID | NIH-10920437 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include children aged 0-11 years who have experienced or are at risk of maltreatment.
✕Less likely to help
Patients who are outside the age range of 0-11 years or who have not experienced maltreatment may not benefit from this research.
What this research studies
This research focuses on identifying the causes and consequences of various types of child maltreatment, such as physical abuse and neglect. By utilizing advanced data science techniques, the project aims to create decision support tools that help practitioners make informed decisions to prevent maltreatment and improve outcomes for affected children. The research will analyze large datasets to develop predictive models that can guide interventions tailored to the specific needs of children and families. Ultimately, the goal is to enhance the effectiveness of maltreatment prevention strategies.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies for child maltreatment, improving the health and well-being of vulnerable children.
How similar studies have gone: Other research has shown success in using data science approaches to understand and prevent child maltreatment, indicating that this methodology is promising.
Where this research is happening
-
New York University School of Medicine
New York, United States Active
Researchers
- Principal investigator: Ma, Sisi — New York University School of Medicine
- Study coordinator: Ma, Sisi
Related research
Other NIH-funded projects on the same topics.
-
Actions to Decrease Disparities in Blood Pressure Control for Blacks
Aiming to help Black patients manage high blood pressure by using nurses, community health workers, and home monitoring in real-world clinics.
-
Blood-based markers to identify lung cancer risk in never-smokers
A researchers team at NYU School of Medicine is testing blood tests that might flag higher lung cancer risk in people who have never smoked, helping decide who might need screening.
-
Oxytocin's effect on social brain function in autistic adults
A group at NYU School of Medicine studies how oxytocin affects social thinking and brain activity in adults with autism.
-
COVID-19 healthcare disruptions and heart health inequities in NYC adults with multiple conditions
This project looks at how COVID-19-related gaps in care affected heart health in adults with several chronic conditions in New York City.
-
Connecting TDP-43 Pathology to Molecular Profiles in Neurodegeneration
This grant explores how specific molecular patterns in brain tissue relate to ALS and Alzheimer’s disease features, aiming to improve understanding of disease subtypes and progression.
-
INOCA-mobile heart rehab for angina and breathlessness
A mobile health-based cardiac rehabilitation program is being tested to help people with INOCA feel better and move more.
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.