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Raising awareness of the mental health risks of technology and the importance of digital well-being.
The Child Mind Institute is intent on being a driving force for the responsible development and implementation of digital solutions in the emerging field of health tech by serving as a hub for outreach, expert convening, and thought leadership. Our work spans the landscape, from understanding the risks presented by existing technology to promoting research that informs the safe and appropriate development of digital solutions for mental health care.
As part of our mission to transform children’s lives, we are relentlessly pursuing solutions to one of the defining public health crises of our time — a youth mental health crisis. The statistics tell a distressing story. In 2023, twice as many teens went to the ER for self-harm and suicidality as did in 2017.
Researchers, parents, and policymakers are focused on technology’s widespread presence in young people’s lives. Our researchers are taking an “ecological approach,” studying their daily behavior using social media, smartphones, and games to understand technology’s influence and advance informed, evidence-based safeguards. In this way, we are learning what constitutes digital wellness: promoting positive digital experiences while addressing potential negative impacts of excessive or unhealthy technology use.
We collaborate with a variety of partners across the growing healthcare technology ecosystem.
Researchers examine how our surroundings and everyday social interactions affect our thought patterns.
Scientists assess inequalities in the incidence of psychotic disorders among different racial and ethnic groups.
Scientists study how LSD and natural psychedelic substances affect anxiety and depression symptoms.
Examining how cross-tool differences can distort our ability to detect individual variations, and advance the field.
Exploring how computational errors can be leveraged to improve models of brain networks.
Identifying the effects that random unavoidable computing errors have on developing reliable models of brain-phenotype relationships.
Achieving better biomarker discovery for a fraction of the cost of large-scale samples.
Evaluating the impact of the Covid-19 pandemic on the mental health of adults and children.
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