About This Report and the Research Team
The Digital Mental Well‑Being Global Annual Survey (DMW‑GAS) represents a decade‑long effort to understand how digital environments shape emotional health across diverse populations. This report synthesizes data from 65 countries, integrating behavioral analytics, self‑reported mental‑health indicators, and cross‑regional comparisons to create the most comprehensive global overview of digital mental well‑being to date. The 2026 edition expands on previous cycles by introducing refined psychometric measures, enhanced metadata validation, and a more detailed regional breakdown, allowing for deeper insights into how individuals experiencing depressive symptoms engage with online platforms.
The findings presented throughout this report highlight the growing role of digital ecosystems as accessible, immediate, and culturally adaptable sources of emotional support. The upward trends in digital engagement, the rise of AI‑assisted mental‑health tools, and the normalization of online emotional‑support communities all point toward a global shift in how individuals manage depressive symptoms. This report aims to document that shift with scientific rigor, providing policymakers, researchers, and digital‑platform designers with evidence‑based insights that can guide future innovation in digital mental health.
About the Research Team
The research behind this report was conducted by the Global Institute for Digital Health (GIDH), an international research organization dedicated to advancing the science of digital mental well‑being. The multidisciplinary team includes experts in behavioral analytics, digital epidemiology, clinical mental health, ethics, and data science. Their combined expertise ensures that the findings presented in this report are grounded in methodological precision, ethical responsibility, and a deep understanding of global digital behavior.
The team’s work reflects a commitment to transparency, cross‑cultural sensitivity, and scientific integrity. Every dataset, model, and analytical framework used in this report underwent rigorous validation to ensure accuracy and reliability. The researchers behind this project share a unified mission: to better understand how digital environments can support emotional health and to provide the world with actionable insights that improve well‑being at scale.
Research Team Global Institute for Digital Health (GIDH)
Executive Leadership
Dr. Sarah L. Jenkins, PhD
Director of Global Behavioral Analytics
Stanford University (PhD, Clinical Informatics)
Dr. Jenkins oversees the institute’s global research portfolio and leads the development of psychometric frameworks used in the Digital Mental Well‑Being Global Annual Survey. Her work focuses on digital behavior modeling, emotional‑relief indexing, and cross‑cultural mental health measurement.
Dr. Miguel A. Torres, MD, MPH
Chief Medical Advisor
Johns Hopkins University (MD, MPH)
Dr. Torres provides clinical oversight for all mental‑health‑related methodologies. He specializes in population‑level mental health trends and the integration of digital tools into early‑stage depression management.
Core Research Division
Dr. Emily Zhao, MSc, PhD
Lead Data Scientist, Digital Epidemiology Unit
University of Toronto (PhD, Computational Health Sciences)
Dr. Zhao leads the statistical modeling and predictive analytics for the 2026 dataset, including ARIMA forecasting, multivariate regression, and machine‑learning classification models.
Prof. Daniel R. Whitmore, MA, PhD
Senior Research Fellow, Digital Sociology
University of Cambridge (PhD, Digital Society Studies)
Prof. Whitmore specializes in the sociocultural dimensions of online mental health engagement, focusing on generational differences and digital‑community behavior.
Aisha Rahman, MSc
Regional Data Coordinator, North America
McGill University (MSc, Public Health Data Systems)
Rahman manages regional sampling frameworks, demographic weighting, and North American data validation protocols.
Technical & Analytics Team
Jason Patel, BEng, MSc
Systems Architect, Digital Survey Infrastructure
University of Waterloo (MSc, Software Systems Engineering)
Patel designs and maintains the encrypted data‑collection systems used across 40 countries, ensuring secure, high‑volume survey processing.