Call for Papers

We invite submission of short papers on topics including (but not limited to):

• Development of computational models for understanding cognitive processes (such as learning and decision-making) in mental illness

• Approaches to passive sensing and signal processing of visual, audio, physiological or multi-modal inputs for assessing human emotions and behaviours

• Leveraging static, longitudinal and/or iterative health data for detection, monitoring, or prediction of mental health and wellbeing

• ML methods to assist in precision mental health care, predicting health risks, the discovery of disease subtypes, or the development of personalized interventions

• Practical challenges in conducting computational research to support mental illness

• Reflections on the ethics of ML for the diagnosis and treatment of mental illness

Additionally, we welcome scientific position papers, case studies, and review articles under the workshop theme.

Submissions may be up to four pages in length (excluding references and supplementary material; supplements are unlimited, but will be optional for the reviewers to look at). Submissions should be anonymous and in the ICML 2021 format (see the official style guidelines).

As this workshop will be virtual, we plan to allot each accepted paper a five-minute, pre-recorded talk, which will be streamed during one or two sessions at set times; the accepted papers will also be made available on the workshop website. Please note that as preparation for the virtual conference evolves, the ultimate format of dissemination may change.

We will not publish archival proceedings (authors are therefore permitted to submit their work to other venues). Accepted papers will be linked to from the workshop website (subsequently linked to from ICML). We welcome submissions of work-in-progress, completed work, and papers already accepted in other venues.

Please submit your paper via Microsoft CMT through the link below.