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@DepressionCenter

Eisenberg Family Depression Center Code

Open source code from EFDC and UMich researchers working to accelerate mental health discoveries thru mobile technologies and interdisciplinary collaborations.
Accelerating innovations through code to improve mental health outcomes across our communities, illustrated with a glowing neural network brain.

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Depression Center Knowledge Base

Open source for research

The Eisenberg Family Depression Center publishes open source tools, automations, and research workflows designed to accelerate mental health discoveries while remaining highly reusable across any research discipline. By reducing technical barriers and promoting interdisciplinary collaboration, we help researchers solve complex data problems without starting from zero.

What we build

Research software, data and visualization, automation, and mobile technologies.

Browse all open source projects

Get involved

Open source works best when students, professional developers, and researchers can learn from one another and build on shared solutions.

Students can build experience with real projects, developers can contribute and collaborate, and researchers can use, adapt, and partner on open source research tools.

Explore projects, source code, documentation, and demos →

Let's connect

Technical questions & collaboration — Gabriel Mongefranco
Mobile Data Architect, Mobile Technologies Core · Email · GitHub · Website

Consultations, wearables questions & collaboration — Mobile Technologies Core
Mobile Technologies Core · Email · Website

General inquiries — Eisenberg Family Depression Center
Email · 734-763-9629 · Website

More resources

Website Health Research Resource Library (Knowledge Base) Video Library · Open Source Hub


Help drive the next breakthrough. Your gift supports innovative research and shared tools that help accelerate mental health discoveries. Make a gift.

Open source software from the Eisenberg Family Depression Center at the University of Michigan.
© 2023-2026 The Regents of the University of Michigan | Eisenberg Family Depression Center

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  1. Data-and-Design-Core Data-and-Design-Core Public

    A collection of data tools that can be used for mental health research with secondary data. [DOI: 10.5281/zenodo.15242758]

    Stata 2

  2. SleepDataAutomation SleepDataAutomation Public

    Automated sleep data cleanup and processing to harmonize Fitbit data obtained via Fitabase with self-reported sleep diary entries sent via SMS-to-Email. [10.6084/m9.figshare.25669173.v1]

    4

  3. EMA-CleanR EMA-CleanR Public

    Efficient pre-processing, cleaning, and visualization of Ecological Momentary Assessment (EMA) survey data in R to enable high-quality, real-time behavioral insights. [DOI: 10.5281/zenodo.17982075]

    HTML 7

  4. datalavista datalavista Public

    Tell your expensive BI tools: "Data la vista, baby!"🕶️ DataLaVista™ is a lightweight, client-side reporting and dashboard toolkit.

    JavaScript 11 2

  5. ShareR ShareR Public

    Share your science. R in the browser, nothing to install.

    HTML 1

  6. EFDC-Repo-Template EFDC-Repo-Template Public template

    Standard code repo template that provides common features, README sections, and U-M copyright notices to help new repositories comply with U-M guidelines.

    CSS 1 1

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