On September 29th, we had the privilege of hosting an AI Deep Dive Session with Dr. Krista Mehari, where insightful discussions unfolded around her project titled ‘Project GRIP’ (Gun-Related Injury Prevention). This session illuminated the potential of generative AI in organizing and analyzing qualitative data, particularly interview responses, to shed light on gun violence prevention.
Highlights:
- Purpose: Project GRIP aims to understand gun-related attitudes and behaviors in high-risk groups, seeking to bridge the cultural gap in prevention strategies.
- Coding Status: With over 200 interviews transcribed and a thematic coding structure in place, the project has made significant progress.
- AI Assistance: Generative AI can efficiently code interviews, reducing the workload and emotional stress on human coders while maintaining reliability in data analysis.
Session Insights:
- Generative AI can organize qualitative interview responses into clusters, aiding in the understanding and interpretation of data.
- AI’s support in coding interviews accelerates the process and alleviates the emotional toll on researchers.
Conclusion:
The session provided valuable insights into how AI can support projects like GRIP in developing effective prevention strategies for gun-related injuries and fatalities.
Are you interested in being a part of the research team? Contact us at datascience@vanderbilt.edu.