Convergence Mental Health

Modern mental health issues are characterized by their complex, multi-systemic nature and broad societal impact, making them poorly suited to siloed approaches of thinking and innovation. Convergence science integrates knowledge, tools, and thought strategies from various fields and is the focal point where novel insights arise. Convergence Mental Health presents a blueprint for leveraging convergence science within the context of mental health in order to improve patient outcomes and health care systems.

Framing Definitions1. Leveraging Convergence Science to Address Global Mental Health Challenges2. On the road to convergence research: scientists reaching across disciplines to tackle tough problems.3. Convergence and the Changing Nature of Innovation4. Developing Convergence Neuroscience as a Model5. Establishing Transdisciplinarity within a University: Learning from the Experience of the University of Technology Sydney6. The Therapeutic Centaur: Training the half-human, half-computer clinician of 20407. Update on the War on Mental Illness: Perspectives on Translational Psychiatry8. Promoting early child development: using convergence science for the scalable assessment and monitoring of cognitive development9. Artificial Intelligence in Mental Health10. Precision Mental Health: Focus on Depression11. Emerging Role for Technology in Positive Psychiatry Interventions: Importance of Convergence Medicine in Improving Mental Well-being12. A Social, Behavioral and Implementation Science Perspective on Convergence Mental Health13. Convergence Mental Health Across the Life Span: Advances in Precision Geriatric Psychiatry14. Convergence Neuroscience of Meditative Mind-Body Therapies for Mental Health15. The use of bioinformatics and big data for the in silico study of psychiatric disorders16. Converging technologies between the Space Mars Mission and Earth Global Mental Health17. Innovation Diplomacy in the Clinical Neurosciences18. Towards Multi-Omic Informed Psychotropic Prescribing19. Biobehavioral Sensing for Objective Evaluation of OCD Patients20. An Introduction to Antidepressant Pharmacomicrobiomics and Implications in Depression21. Blockchain for Convergence Science in Mental Health22. Global Mental Health and Technology: Examples of the Asia-Pacific Economic Cooperation Digital Hub for Mental Health and the Enhanced Measurement-Based care Effectiveness in Depression23. Digital Health Entrepreneurship: A Convergent Discipline for Mental Health24.Stanford's Brainstorm Lab for Mental Health Innovation25. Innovating dementia care through convergence science in brain health: UCSF Memory Aging Center as a case example26. NODE.Health Algorithm to Support Digital Mental Health Validation27. Key Considerations for Developing Digital Health Accelerators28. Screening for Convergent Practitioners in Health Research and Innovation: The Role of a High Potential Personality29. The Minds Behind the Technology: Lessons on Entrepreneurial Mental Health30. Consumer participation in personalized psychiatry:31. Collaborative Research and Investment to Secure ?Healthy Brains for All?: A Selection of One Mind Projects32. Unconventional Approaches to Investing in Mental Health Technology33. Convergence Mental Health: Barriers, Solutions, and Actionable Avenues for Philanthropic Investment34. Trans-sectorial neuroscience innovation for the 21st century: the BrainMind model35. A Roadmap Towards Convergence Mental Health: Overcoming Barriers from Research, to Initial Commercialization, to Scaling Up Market Penetration