Creating personalized models to predict aggressive behavior
Official title: Developing Personalized Predictive Models of Aggression
Funded at University of Pittsburgh at Pittsburgh · NIH-11051796 · Data updated 2026-11-12
This study is looking to understand what causes aggressive behavior in young adults by using smartphones to collect real-time information about their daily lives, and it aims to create personalized tools that could help prevent such behavior in the future.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pittsburgh at Pittsburgh NIH-funded |
| Lab location | 1 site (Pittsburgh, United States) |
| Project start | March 15, 2023 |
| Project end | February 29, 2028 |
| Funding year | 2025 |
| Award (this year) | $178,616 |
| NIH project number | 5K01MH130746-03 |
| Project ID | NIH-11051796 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are young adults aged 18-30 who have been diagnosed with mental and behavioral disorders and are at an elevated risk for aggression.
✕Less likely to help
Patients who do not have any history of aggressive behavior or mental health disorders may not benefit from this research.
What this research studies
This research aims to understand and predict aggressive behavior in young adults by using innovative methods to collect real-time data through smartphones. By analyzing both passively-sensed and self-reported information, the project seeks to identify the various factors that contribute to aggression in daily life. The goal is to develop personalized predictive models that can help in understanding the dynamics of aggression and potentially guide prevention strategies. Participants will be monitored over a three-week period to gather comprehensive data on their behavior and experiences.
Why it matters
Potential benefit: If successful, this research could lead to more effective prevention strategies for aggressive behavior, improving mental health outcomes for individuals at risk.
How similar studies have gone: Previous research has shown promise in using real-time data collection methods for understanding behavioral patterns, suggesting that this approach could yield valuable insights.
Where this research is happening
-
University of Pittsburgh at Pittsburgh
Pittsburgh, United States Active
Researchers
- Principal investigator: Vize, Colin — University of Pittsburgh at Pittsburgh
- Study coordinator: Vize, Colin
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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.