Our Commitment
We claim no special insight. When we learn from someone's work, we say so. When we use ideas that others developed, we cite them. We believe in building bridges, not walls.

Researchers We Learn From

Programs and Initiatives We Learn From

mindLAMP

An open-source platform for digital phenotyping developed by Dr. Torous's team. Allows researchers and clinicians to collect active and passive data, deliver interventions, and conduct research.

We've learned from their approach to open-source, privacy-first design, and integration of passive sensing with active engagement.

NHS IAPT Program

The UK's Improving Access to Psychological Therapies program—the largest implementation of evidence-based psychological therapy in the world. Treats 1.5+ million people annually.

We've learned from their stepped care model, measurement-based approach, and self-referral systems.

SAMHSA CCBHC Model

Certified Community Behavioral Health Centers represent a scalable approach to comprehensive community mental health, with demonstrated outcomes in reducing ED visits and hospitalizations.

We've learned from their integration model and focus on comprehensive, community-based care.

Australia Headspace

Youth-focused integrated mental health centers with online extension (eHeadspace). Over 150 centers serving young people 12-25.

We've learned from their youth-friendly design, integration of services, and digital extension approach.

Research We Rely On

Our claims are grounded in systematic reviews and meta-analyses. Key sources include:

Topic Key Source Finding
Digital CBT (Depression) Andersson & Cuijpers, 2009 d = 0.54 vs controls
Digital CBT (Anxiety) Olthuis et al., 2016 (Cochrane) d = 0.49 vs controls
HRV Biofeedback (Anxiety) Goessl et al., 2017 d = 0.81 vs controls
App Engagement Baumel et al., 2019 < 4% retention at 14 days
Digital Mindfulness Spijkerman et al., 2016 d = 0.35-0.55
Personalization 2023 Systematic Review Mixed evidence, mostly weak

Open Source Tools We Respect

Several open-source projects have paved the way for digital mental health research:

mindLAMP

Open-source digital phenotyping platform from Beth Israel Deaconess.

AWARE Framework

Open-source mobile data collection framework for research.

OpenMHealth

Open standards for mobile health data.

A Note on Humility

The researchers named here have spent years—often decades—building the foundation we stand on. We are synthesizers, not originators. When we discuss digital phenotyping, we're summarizing Dr. Torous's work. When we discuss HRV biofeedback, we're applying Dr. Lehrer's protocols.

If we've misrepresented anyone's work, we want to know. If we've failed to credit someone, we want to correct it. Science advances through collaboration and honest attribution.

Contact us: If you see work that should be attributed or an error in how we've characterized research, please reach out through the 22b1 correspondence page.

Part of 22b1 Research Initiative

MindBridge is one project within the broader 22b1 Research Initiative, which works across domains including:

Visit the main 22b1 site →