The world is experiencing a mental health crisis that is in need of immediate attention. In 2017, within the United States alone, an estimated 43 million people (18% of the population) had a mental illness and 9.6 million people experienced thoughts of suicide. About fifty-six percent of such adults did not receive the treatment they needed due to a variety of socio-cultural and economic factors including lack of access to healthcare, a shortage of providers, and a fear of the stigma that may be associated with treatment. Beyond diagnosed mental health conditions, it is estimated that at least 3 out of 5 people have had experiences of mental illness. These statistics hold for global populations as well.
The genesis of mental health conditions is instructive as well. The American Psychiatric Association estimates that 50% of mental illness begins by age 14, and 75% of mental illness begins by age 24. The National Association on Mental Illness in the US tracks suicide as the 3rd biggest cause of death in ages 10-24; 90% of these individuals had an underlying mental illness. These ages are some of the most technologically connected segments of our life span, providing unique opportunities for technological solutions to play a key role in addressing this crisis.
Globally, governments, clinical institutions, and technology companies are starting to respond to this escalating crisis. Some examples include: Governments (especially in Europe) starting to establish cabinet level positions for Mental Health, mental health education becoming required in school grades K-12 at a rapidly increasing rate, and partnerships by clinical institutions with communities around general care and prevention. Technology has enabled easier remote access to both active listeners and counselors and psychiatrists through text and video channels.
We are at the dawn of technology supporting good self-care and other-care, especially towards good mental health. The mental health crisis is a huge opportunity for the research, design, and deployment of AI/ML-assisted systems to improve good mental health at scale.
This domain comes with unique challenges. In several mental health scenarios, there isn’t a high degree of agreement between experts on the ground truth of a situation, and culture and its dynamism adds complexity. Datasets can be small or noisy as they capture human expression during periods of desired change. There are often several effective paths forward in any given situation, and not just one “best move”. There is a large cohort of trained providers who would like to use technology well to expand their scale, and to augment their efficacy. There are several other community-centered ecosystems - school, work, religion, others - that play a key role in good mental health and can benefit from technology that leverages their presence. And technology can augment all aspects of fostering good mental health: awareness, assessment, mediation, and maintenance.
This workshop will bring together industrial and academic experts and researchers and field practitioners to elucidate problems, solutions, and paths forward. We invite short papers (6-8 pages including citations) and full papers (12-15 pages including citations) that speak to the topic of designing digitally assisted systems for good mental health. Papers should be submitted here through October 17, 2020. Paper submissions must follow the Springer LNCS templates (overall guidelines, Overleaf). We also invite submissions in two other categories. First, we welcome descriptions of upcoming research studies at the intersection of AI and good mental health for inclusion and discsussion during the live conference. Authors will have the opportunity to interact with the audience around aspects of their proposed study, from technical machinery to study design to human impact. Second, we welcome demos of AI augmented techniques, approaches, and solutions for good mental health. For submissions in this category, please be sure to clarify and describe the AI approach that your demo or study uses or plans to use. There is no minimum or maximum page limit for submissions in either of these categories, and demos in particular can be optionally submitted here. Submissions in these categories will be published online and will be considered non-archival. Some topics that your paper submissions might cover include the following (note that this is not a restrictive list!)
Workshop paper submissions
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We are combining our workshop with CAIHA (Computational and Affective Intelligence in Healthcare Applications), and here's the full schedule.