Break Out Session 1

Predicting Depression in Adolescents Using Mobile and Wearable Sensors: A Multimodal Machine Learning Based Exploratory Study
Sentiment mirroring in text messages among people with and without affective psychopathologies
Acceptability of home monitoring for neovascular age-related macular degeneration reactivation: a qualitative study
Assessing consistency in usability and satisfaction with a publicly available smoking cessation smartphone application across smokers from diverse backgrounds

Break Out Session 2

Improving youth mental health literacy: A cluster-controlled trial of MindAid-Youth in UK Schools
OurFutures: An innovative and engaging web-based program to prevent substance use and mental ill-health among secondary school students
Harnessing Mobile Technology to Reduce Mental Health Disorders in College Populations
Economic evaluation of Kooth, a web based mental health platform for children and young people with emerging mental health needs.

Applying a Reinforcement Learning Algorithm to the Staywell Text Messaging Intervention to Improve Mental Health
Artificial Intelligence in the treatment and diagnosis of anxiety
A real-world evaluation of an eating disorder focused chatbot called “KIT”
Night-time cardiac metrics from a wearable sensor predict intensity of next-day chronic pain

Digital interventions to foster resilience for future challenges: A symposium on the current state and new approaches of resilience research (90 Minutes)

Developing and Deploying Digital Mental Health Interventions in Spaces of Online Help- and Information-Seeking (90 Minutes)