Join us on January 10 from 12:00 to 16:00 CET

Call for Contributions


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.


Technical topics & unique opportunities

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!)

  • Requirements for good mental health systems
  • Learnings from digitally assisted mental health systems
  • Dealing with the lack of ground truth
  • Dealing with emotional verbosity in text
  • Supporting human providers over text channels
  • Text and video analysis in support of good mental health
  • Learning over small datasets
  • Predictive models and tools to support good mental health through a variety of channels, from primary care to wellbeing through work to connections with families and communities
  • Building AIs that are aware of, and supportive of the process of improving mental health
  • Deploying cognitive science theories to improve the performance of machine learning
  • Improving cognitive science theories through insights from machine learning systems

Important Dates

October 17, 2020

Workshop paper submissions

November 10, 2020

Workshop paper notifications

November 15, 2020

Camera-ready submission


The live workshop will be held on January 10, 2021.

We are combining our workshop with CAIHA (Computational and Affective Intelligence in Healthcare Applications), and here's the full schedule.

Organizing Committee

Ajay Chander

Conference Chair, Fujitsu Labs of America

Martha Russell

Stanford University

Anssi Smedlund

Aalto University, Ilmarinen

Program Committee

Rama Akkiraju

IBM Research

Cathrine Dam


Senthil Kumar

Capital One

Erik Mueller

Capital One

Steven Woodward

VA, Stanford

Martha Russell

Stanford University

Anssi Smedlund

Aalto University, Ilmarinen

Ajay Chander

Program Chair, Fujitsu Labs of America