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 patientoutcomes and health care systems.
Framing Definitions; 1. Leveraging Convergence Science to Address Global Mental Health Challenges; 2. On the road to convergence research: scientists reaching across disciplines to tackle tough problems.; 3. Convergence and the Changing Nature of Innovation; 4. Developing Convergence Neuroscience as a Model; 5. Establishing Transdisciplinarity within a University: Learning from the Experience of the University of Technology Sydney; 6. The Therapeutic Centaur: Training the half-human, half-computer clinician of 2040; 7. Update on the War on Mental Illness: Perspectives on Translational Psychiatry; 8. Promoting early child development: using convergence science for the scalable assessment and monitoring of cognitive development; 9. Artificial Intelligence in Mental Health; 10. Precision Mental Health: Focus on Depression; 11. Emerging Role for Technology in Positive Psychiatry Interventions: Importance of Convergence Medicine in Improving Mental Well-being; 12. A Social, Behavioral and Implementation Science Perspective on Convergence Mental Health; 13. Convergence Mental Health Across the Life Span: Advances in Precision Geriatric Psychiatry; 14. Convergence Neuroscience of Meditative Mind-Body Therapies for Mental Health; 15. The use of bioinformatics and big data for the in silico study of psychiatric disorders; 16. Converging technologies between the Space Mars Mission and Earth Global Mental Health; 17. Innovation Diplomacy in the Clinical Neurosciences; 18. Towards Multi-Omic Informed Psychotropic Prescribing; 19. Biobehavioral Sensing for Objective Evaluation of OCD Patients; 20. An Introduction to Antidepressant Pharmacomicrobiomics and Implications in Depression; 21. Blockchain for Convergence Science in Mental Health; 22. 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 Depression; 23. Digital Health Entrepreneurship: A Convergent Discipline for Mental Health; 24.Stanfords Brainstorm Lab for Mental Health Innovation; 25. Innovating dementia care through convergence science in brain health: UCSF Memory Aging Center as a case example; 26. NODE.Health Algorithm to Support Digital Mental Health Validation; 27. Key Considerations for Developing Digital Health Accelerators; 28. Screening for Convergent Practitioners in Health Research and Innovation: The Role of a High Potential Personality; 29. The Minds Behind the Technology: Lessons on Entrepreneurial Mental Health; 30. Consumer participation in personalized psychiatry:; 31. Collaborative Research and Investment to Secure Healthy Brains for All: A Selection of One Mind Projects; 32. Unconventional Approaches to Investing in Mental Health Technology; 33. Convergence Mental Health: Barriers, Solutions, and Actionable Avenues for Philanthropic Investment; 34. Trans-sectorial neuroscience innovation for the 21st century: the BrainMind model; 35. A Roadmap Towards Convergence Mental Health: Overcoming Barriers from Research, to Initial Commercialization, to Scaling Up Market Penetration;
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