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UID:pretalx-sips2025-budapest-WNQP8N@pretalx.com
DTSTART;TZID=CET:20250626T090000
DTEND;TZID=CET:20250626T103000
DESCRIPTION:Building custom web applications for psychological and behaviou
 ral research can seem daunting\, but accessible Large Language Models (LLM
 s) and affordable front- and back-end solutions are making it easier than 
 ever. This workshop provides a hands-on exploration of these advancements 
 through two case studies: Port\, a data donation platform for collecting a
 pp usage data\, and O-ELiDDI\, a web-based diary for time-use data. Partic
 ipants will learn how to fork\, modify\, and deploy these open-source web 
 applications with minimal coding\, leveraging GitHub for version control\,
  LLMs for feature development\, and low-cost data storage services.  \n\nW
 hether you are interested in building open-source instruments\, gathering 
 user-data for psychological research\, or conducting time-use studies\, th
 is workshop offers practical strategies for creating or tweaking your own 
 customized solutions suited to your specific research needs.
DTSTAMP:20260512T115100Z
LOCATION:Underground\, p10
SUMMARY:WS4: Customizing and Deploying Open-Source Web Apps with Ease - Tho
 mas Hakman\, Tamas Foldes
URL:https://pretalx.com/sips2025-budapest/talk/WNQP8N/
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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:20260512T115100Z
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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