GINGER RESEARCH

Advancing mental healthcare through research and data.

At Ginger, we’re commited to using research to elevate the field of mental health and achieve our mission of creating a world where mental health is never an obstacle.

Built on one of the world’s largest mental health data sets.

Ginger is focused on clinical and economic outcomes, developing new measurement tools, and peer-review programs that ensure transparent methodologies.

10+

years of mental
health research

8

partnerships with top 10 U.S. academic medical centers

40+

partnerships with nationwide
medical institutions

New research from Ginger in JMIR

Anxiety Improvement for Ginger Members

Mild
Moderate
Severe

Depression Improvement
for Ginger Members

Mild
Moderate
Moderately Severe
Severe

Read the full report

More mental health research from Ginger

Report

Behavioral Health Coaching

While coaches do not treat complex psychological disorders, they support emotion management, challenge support relationships and communication skill-building.

Report

Leadership for Everyone

A great way to create healthy cultures and encourage a positive experience in the workplace is from the top down.

Report

Taking Your EAP into the 21st Century

How a low-barrier, stigma-free EAP can improve mental healthcare access

Publications

CRI

Excelling with the 5%: Advancing Wellness for Superutilizers

This presentation proposes a model for advancing wellness for superutilizers.

UC Davis

Smartphone Apps for Early Psychosis Care

This study examines the predictive value of using mobile data in relation to gold standard clinical measures.

UPenn

Mobile application for monitoring and management of depressed mood in a vulnerable pregnant population

This study determines whether a mobile mood tracking and alert (MTA) mobile application (app) improved mental health care delivery in a high-risk obstetric population.

MIT Media Lab

Social sensing for epidemiological behavior change

This study uses mobile phone based co-location and communication sensing to measure characteristic behavior changes in symptomatic individuals, reflected in their total communication, interactions with respect to time of day (e.g., late night, early morning), diversity and entropy of face-to-face interactions and movement.

MIT Media Lab

Social Sensing: Obesity, Unhealthy Eating and Exercise in Face-to-Face Networks

This study uses co-location and communication sensors in mass-market mobile phones to model the diffusion of health-related behaviors via face-to-face interactions amongst the residents of an undergraduate residence hall.

MIT Media Lab

Sleep, Mood and Sociability in a Healthy Population

This study examines the relationship between sleep, mood, and sociability in the everyday life of healthy young adults. Ginger has a rich patent portfolio linking mobile data to relevant clinical endpoints.

MIT Media Lab

Using Social Sensing to Understand the Links Between Sleep, Mood, and Sociability

This study explores and uncovers the associations between sleep, mood and sociability by studying a population of healthy young adults

MIT Media Lab

Sensing the 'Health State' of a Community

This study uses location and communication sensors to model individual behaviors and symptoms, long-term health outcomes, and the diffusion of opinions in a community.

MIT Media Lab

Automatically Captured sociability and Sleep Quality in Healthy Adults

This details a pilot study designed to study the relationship of sociability and sleep quality, both measured and perceived, of healthy adults.

MIT Media Lab

Change in BMI Accurately Predicted by Social Exposure to Acquaintances

This study aims to understand and develop a model that best describes the change in BMI using social interaction data.

MIT Media Lab

Stress Recognition Using Wearable Sensors and Mobile Phones

This study aims to find physiological or behavioral markers for stress.

UCSF

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

This study characterizes smartphone use by measuring screen-time directly, determine factors that are associated with increased screen-time, and to test the hypothesis that increased screen-time is associated with poor sleep.

UCSF

Smartphone-Based Geofencing to Ascertain Hospitalizations

This study evaluates the use of smartphone-based geofencing to track hospitalizations.

UCSF

Conducting a fully mobile and randomized clinical trial for depression: access, engagement and expense

This study assesses the feasibility of a fully mobile randomised controlled trial using assessments and treatments delivered entirely through mobile devices to depressed individuals.

“

Mental health has historically suffered from a lack of meaningful measurement, which is critical to driving better health outcomes. Today, Ginger is a leader in understanding mental health trends, leveraging data science data to improve care delivery around the world, and transforming an industry that desperately needs change.

Sandy Pentland,
Advisor and Ginger co-founder

Advancing mental healthcare through research and data.

Built on one of the world’s largest mental health data sets.

New research from Ginger in JMIR

Anxiety Improvement for Ginger Members

Depression Improvementfor Ginger Members

More mental health research from Ginger

Behavioral Health Coaching

Leadership for Everyone

Taking Your EAP into the 21st Century

Publications

Excelling with the 5%: Advancing Wellness for Superutilizers

Smartphone Apps for Early Psychosis Care

Mobile application for monitoring and management of depressed mood in a vulnerable pregnant population

Social sensing for epidemiological behavior change

Social Sensing: Obesity, Unhealthy Eating and Exercise in Face-to-Face Networks

Sleep, Mood and Sociability in a Healthy Population

Using Social Sensing to Understand the Links Between Sleep, Mood, and Sociability

Sensing the 'Health State' of a Community

Automatically Captured sociability and Sleep Quality in Healthy Adults

Change in BMI Accurately Predicted by Social Exposure to Acquaintances

Stress Recognition Using Wearable Sensors and Mobile Phones

Direct Measurements of Smartphone Screen-Time: Relationships with Demographics and Sleep

Smartphone-Based Geofencing to Ascertain Hospitalizations

Conducting a fully mobile and randomized clinical trial for depression: access, engagement and expense

“

Depression Improvement
for Ginger Members