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UID:pretalx-sips2025-budapest-GWRCNY@pretalx.com
DTSTART;TZID=CET:20250627T140000
DTEND;TZID=CET:20250627T153000
DESCRIPTION:Causal inference is vital in psychological science\, but clearl
 y defining causal questions and relationships remains challenging and rare
 ly achieved—weakening the robustness and clarity of analyses in observat
 ional studies. A directed acyclic graph (DAG) is a tool to help researcher
 s illustrate their understanding of causal relationships between variables
 . Addressing concerns about how the time spent using digital technologies 
 affects young people’s wellbeing\, we aim to use DAGs to identify bias a
 nd inform appropriate adjustment strategies for analysis of observational 
 time-use data.  \n\nWe will employ an adapted collaborative DAG developmen
 t procedure and gather feedback for its refinement. Our goal is to create 
 a DAG that transparently captures experts’ knowledge of sources of bias 
 for the relationship between digital technology time-use and wellbeing. Th
 e hackathon offers a chance to develop a DAG relevant to a broader range o
 f young people by encouraging cross-disciplinary discussion with researche
 rs at SIPS.
DTSTAMP:20260519T222824Z
LOCATION:Underground\, p08
SUMMARY:HC17: Causal Connections: DAG Hackathon for Mapping Time-Use to Wel
 lbeing - Thomas McGrath\, Tamas Foldes\, Karen Mansfield\, Andy Przybylski
URL:https://pretalx.com/sips2025-budapest/talk/GWRCNY/
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