ICPS
2019 International Convention of Psychological Science
Big Data Meets Psych: Advancing the Study of the Effects of Digital Technologies on Youth Mental Health Using Digital Ecological Momentary Assessment, Ubiquitous Sensing, and Machine Learning
Subject Area: Clinical Science
Ecological momentary assessment is an efficacious methodology to study dynamic processes such as mental health phenomena, and increasingly researchers are expanding the use of multi-level modeling with self-reported data to include: time-series analyses, and sensing analyses, with machine learning being a useful analytic tool for the analysis of sensing data.
Chairs & Discussants
- Claire Ann BangaChair
University of Edinburgh - Kathryn ModeckiDiscussant
Griffith University
Presentations
- Using Machine Learning to Predict Adolescent Depression and Sleep DifficultiesClaire Ann Banga
- The Impact of Nighttime Smartphone Use on Adolescent Mental HealthAubrey Borgen
- Momentary Coping and Maladaptive Emotion Regulation Strategies in at-Risk YouthMegan Duvenage
