Code that accelerates
research breakthroughs.

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.

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AI-prompt-database

Real-world examples of AI prompts from the University of Michigan. [DOI: 10.6084/m9.figshare.25669170]

Code Website Docs

AutomatorsAnonymous

AI, JavaScript, SharePoint, and Power Platform projects built by the Automators Anonymous™ community of practice at UMich.

Code Website Demo Docs

Data-and-Design-Core

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

Code Website Docs

datalavista

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

Code Website Demo Docs

DontDeleteMyEmail

Collection of solutions to the "IT is going to delete my old emails" problem, using Power Automate or other tools.

Code Docs

EFDC-Repo-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.

Code Website Docs

EFDC-TDX-KB

Custom HTML and CSS for the Depression Center KB (TDX Client Portal), with templates for Bootstrap components that work inside knowledge base articles. [10.5281/zenodo.18164172]

Code Website Demo Docs

EMA-CleanR

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]

Code Website Demo Docs

extractium

Extractium™ builds a compendium: a portable, static, multi-format knowledge index any LLM can consume.

Code Docs

FieldStationAI

Field Station AI is a private, in-browser AI workspace for health and behavioral researchers.

Code Demo Docs

GitHub-Usage-Stats

Scripts to capture GitHub repository and usage statistics daily. [DOI: 10.6084/m9.figshare.26090902].

Code Website Docs

MDEN

Mobile technologies code from the University of Michigan's Mobile Data Experts Network (MDEN), featuring data cleaning automations, REDCap project templates, and links to useful external modules. [DOI: 10.6084/m9.figshare.25438714]

Code Website Docs

MiNap

Code and documentation for MiNap sleep diary smartwatch app and related infrastructure, developed by the 2023 ITS intern cohort at the University of Michigan. [10.6084/m9.figshare.25438711]

Code Website Docs

MiNap-Go

MiNap Go: a standalone, ready-to-run version of MiNap (sleep diary app for research) with no additional technology required.

Code Website Demo Docs

mobile-tech-illustrations

Diagrams and 3D models showcasing mobile technologies devices used in research, such as wearables, nearables, intermittent wearables, and smartphone sensors. [DOI: 10.5281/zenodo.18165506]

Code Website Demo Docs

MTC-Public-PowerBI-Dashboards

PowerBI dashboard templates and examples for research teams.

Code Docs

MTC-SharePoint-Site

Code used by the Mobile Technologies Core team's SharePoint site, including JSON/CSS for View Formatting.

Code Docs

OffgridDev

Infinite tokens and zero cloud fees: code off the grid with a containerized local AI stack for developers and researchers, automatically tuned to your GPU’s exact VRAM specs.

Code Docs

ShareR

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

Code Demo Docs

Sitenalyzer

Data dictionary and security information extraction for SharePoint sites

Code Demo Docs

SleepDataAutomation

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]

Code Website Docs

TrackMaster

TrackMaster is a membership tracking tool and CRM for research centers and institutes at the University of Michigan.

Code Website Docs

Useful-SQL-Queries-for-UMich-Research-Centers

Useful SQL queries for University of Michigan research cores, centers, institutes and labs, including queries to report on publications and grants.

Code Docs

Yawnalyzer

Automated data cleaning and sleep/gait metrics for Apple Watch data collected via SensorKit and ResearchKit.

Code Website Docs

ZippyServe

ZippyServe is a zero-dependency local web server. It lets you test single-page apps quickly. It serves directories, zips, HTML, and Markdown. [DOI: 10.5281/zenodo.21613944]

Code Docs
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Michigan Open Source Support

MOSS unlocks the power of open source for research, education, and innovation at the University of Michigan. The MOSS collection hosts technologies created by U-M faculty, staff, and students — freely available for collaboration, adaptation, and advancement across diverse fields.

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Community Resources

Community Open Source

A curated list of open source tools and libraries that can benefit researchers across disciplines.

About Us

Eisenberg Family Depression Center

Established in 2001, the Frances and Kenneth Eisenberg Family Depression Center is the first of its kind devoted to bringing depression into the mainstream of research, care, and community education. Today, our Center is expanding the scope of mental health research to accelerate innovations that lead to improved outcomes across our communities.

One in five Americans will experience depression — yet few will receive treatment that leads to long-term relief. As the leading cause of disability worldwide, depression is not only a personal hardship; it is a global burden. We believe transformative change is needed to address this enormous impact.

Our Vision To eliminate the burden of depression.
Our Mission To improve lives and empower communities through bold innovations and interdisciplinary collaborations across research and outreach.

Resources for Researchers

Research Innovation Core
Creative, interdisciplinary approaches to mental health research.
Data & Design Core
Secondary dataset resources and expertise to accelerate bold research ideas.
Mobile Technologies Core
Accelerating mental health treatment and prevention discoveries through wearables and mobile technologies.
Code Publishing Service
A free service for U-M research teams to generalize and publish their code as open source.