Understanding and preventing child maltreatment through data science
Resource Core
['FUNDING_OTHER'] · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · NIH-10920434
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
| Phase | ['FUNDING_OTHER'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NEW YORK UNIVERSITY SCHOOL OF MEDICINE (nih funded) |
| Locations | 1 site (NEW YORK, UNITED STATES) |
| Trial ID | NIH-10920434 on ClinicalTrials.gov |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research include children and adolescents who are at risk of maltreatment or have experienced maltreatment.
Not a fit: Patients who are adults or those who do not have a history of maltreatment may not benefit from this research.
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 performed: 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, UNITED STATES
- 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
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 below.