Special Issue of JMIR on Computing and Mental Health (2018): Call for papers

The Journal of Medical Internet Research (JMIR) is inviting submissions as the official journal for a special issue dedicated to the topic of Computing and Mental Health.

(New Deadlines, updated on Jan, 3rd, 2018) Mental health issues affect a significant portion of the world’s population and can result in debilitating and life-threatening outcomes. To address this increasingly pressing healthcare challenge, there is a need to research novel approaches for early detection and effective intervention. In particular, ubiquitous systems can play a central role in revealing and tracking clinically relevant behaviors, contexts, and symptoms. Further, such systems can passively detect relapse onset and enable the opportune delivery of effective intervention strategies. However, despite their clear potential, the uptake of ubiquitous technologies into clinical mental health care is rare, and a number of challenges still face the overall efficacy of such technology-based solutions.

Considering such challenges and opportunities together with JMIR’s scope, we invite submissions in the areas and intersections of mental health, well-being, ubiquitous computing, and human-centered design, including but not limited to:

      • Design and implementation of computational platforms (e.g., mobile phones, instrumented homes, etc.) to collect health and well-being data.
      • Development of robust behavioral models that can handle data sparsity and mislabeling issues.
      • Integration of multimodal data from different sensor streams for personalized predictive modeling.
      • Automated inference from sensor data of high-level contexts (e.g., environmental, social, etc.) indicative of mental health status.
      • Design and implementation of feedback (e.g., reports, visualizations, proactive behavioral interventions, etc.) for both patients and caregivers.
      • Development of smartphone based automated behavioral interventions focusing on mental health and well-being.
      • Methods for sustaining user adherence and engagement over long periods of time.
      • Devising privacy-preserving strategies for data collection, analysis, and management.
      • Deployment in low-income communities and countries.
      • Identifying ways to better integrate ubiquitous technologies into existing healthcare infrastructures and government policy.

Submission of Papers

You are invited to submit a full length manuscript of no more than 7,500 words. Submitted papers should report new and original results that are unpublished elsewhere. Please prepare your manuscript with the template file and guidelines found at http://www.jmir.org/about/submissions#authorGuidelines.

Submissions should be sent through the online system at www.jmir.org. Authors should choose “Special Issue on Computing and Mental Health (2018)” as the theme when submitting papers (see FAQ article on "How to submit to a theme issue"). All submitted manuscripts will undergo a full peer review process consistent with usual rigorous editorial criteria for JMIR. Accepted papers will be published in JMIR, JMIR Mental Health, JMIR Human Factors or another JMIR sister journal according to the focus and impact of the paper, with all papers appearing together in an e-collection (theme issue) guest edited by the academics listed below.

As an open access journal, JMIR will charge an Article Processing Fee (APF). Articles in this Special Issue will receive 20% discount off this APF. Please review fee information prior to submission: https://www.jmir.org/about/editorialPolicies#custom7.


      • Full Paper Due: Feb 15, 2018
      • Notification of Acceptance: Mar 15, 2018
      • Final Version of Paper Due: May 15, 2018
      • Special Issue Publication Date (est.): July 1, 2018

Special Issue Editors (in alphabetical order)

      • Saeed Abdullah, Pennsylvania State University
      • Jakob E. Bardram, Technical University of Denmark
      • Rafael Calvo, University of Sydney
      • Tanzeem Choudhury, Cornell University
      • Mary Czerwinski, Microsoft Research
      • Elizabeth Murnane, Stanford University
      • Mirco Musolesi, University College London
      • John Torous, Harvard Medical School
      • Greg Wadley, University of Melbourne