The Eisenberg Family Depression Center is devoted entirely to bringing depression into the mainstream of research, care, community education and public discourse. We are investing in high-impact research and evidence-based initiatives to progress our field forward. Our code repositories help us accelerate mental health discoveries by promoting interdisciplinary collaborations across research, reducing barriers to utilizing mobile technologies, and helping researchers solve common technology problems without re-inventing the wheel.
The Depression Center Code Repositories on GitHub feature code used in research, made available to the public through open source licenses. Our projects range from data cleaning automations, R analytical libraries, dashboard templates, to innovative solutions for research teams. These repos include code developed by us, by our partners, and by researchers throughout University of Michigan and Michigan Medicine.
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Automated sleep data cleanup and processing to harmonize Fitbit data obtained via Fitabase with self-reported sleep diary entries sent via SMS messages. |
Code and documentation for Mi Nap sleep diary smartwatch app and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan. |
Code and documentation for TrackMaster membership tracking tool™ and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan. |
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Code for tools and automation used internally by the Mobile Technologies Core. |
Scripts to capture GitHub repository and usage statistics daily. |
🕶️ Tell your expensive BI tools: "Data la vista, baby!" DataLaVista is a lightweight, client-side reporting and dashboard toolkit. |
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Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit. |
Real-world examples of AI prompts from the University of Michigan. |
See all our repos. |
- Gabriel Mongefranco, Sr. Mobile Data Architect, Mobile Technologies Core
- Email: 📧
- Git: @gabrielmongefranco
- Web: Staff Profile | Website
- Eisenberg Family Depression Center
- Email: 📧
- Phone: 734-763-9629
- Web: https://depressioncenter.org
Depression Center Website | GitHub | Knowledge Base | Depression Center's Video Library
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