💡Special Interest Group of @ehps.bsky.social
🔗https://linktr.ee/ehps.cfm.sig
🤓 Join us in improving research by giving our concepts, models and measures the attention they deserve.
🪑Co-Chairs: Maya Braun, Annick De Paepe & Paulina Schenk
EHPS Conceptualization Formalization and Measurement SIG
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If you’d like to learn more, here is a featured paper:
📄Poppe, L., Steen, J., Loh, W. W., Crombez, G., De Block, F., Jacobs, N., ... & Paepe, A. L. D. (2025). How to develop causal directed acyclic graphs for observational health research: a scoping review.
📚 If you’d like to learn more, here are a featured paper:
✨ Poppe, L., Steen, J., Loh, W. W., Crombez, G., De Block, F., Jacobs, N., ... & Paepe, A. L. D. (2025). How to develop causal directed acyclic graphs for observational health research: a scoping review.
🎙️ Our next podcast episode is out soon!
Get a preview with a short snippet from the episode 👀👇
In the newest episode of Define and Conquer, our hosts Olga Perski and Christoph Bamberg chat with Louise Poppe about “Getting started on causal models and Directed Acyclic Graphs”.
In this session, Gjalt-Jorn Peters, Benjamin Gardner and Massimo Koester explored challenges in conceptualising and measuring habits, and proposed ways to move forward, including accessible tools and approaches to improve how we define and assess different aspects of habit.
They discuss how research across other scientific disciplines can benefit from integrating DAGs into their workflow, including:
🚀 how to get started with causal thinking
⚠️ common challenges when building DAGs
🔍 what insights these models can provide for study design, analysis and interpretation
🧠They explore how to begin using causal thinking with DAGs and the challenges and opportunities involved, providing insights into how you might integrate these approaches into your methodological research toolbox.
🎙️ Our newest podcast episode is out now!
In our fifth episode, Louise Poppe chats with our 'Define & Conquer' hosts Olga Perski and Christoph Bamberg about “Getting started on causal models and Directed Acyclic Graphs”.
