It's alive! 🎉
𝗧𝗵𝗲 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁'𝘀 𝗚𝘂𝗶𝗱𝗲 𝘁𝗼 𝗖𝗮𝘂𝘀𝗲 𝗮𝗻𝗱 𝗘𝗳𝗳𝗲𝗰𝘁 is out -- an introduction to causal inference in practice.
The first two chapters are available for free here: theissbendixen.com/dag-book/
More below 👇
✨ We are hiring @crestumr.bsky.social ✨
Post-doc position, up to 3 years, in a Horizon project.
Profile: at the intersection of NLP & Social Sciences.
More information here: shorturl.at/TxDLN
🥰 RT appreciated 🥰
Presque
À la recherche de parisrecherche.fr la « plateforme collaborative » qui présente les recherches financées par la Ville de Paris
« his disgraced brother’s non-working royal daughters » :-)
Site web de l'axe sciences sociales computationnelles du CREST-CNRS. Cours et tutoriels pour l'analyse des données numériques en sciences sociales.
Exempting research from sharing data because it could lead to the identification of research subjects is very reasonable but also orthogonal to whether the data is “qualitative” or “quantitative”. Meanwhile the latter distinction, despite much magical thinking, is one that no-one can clearly define.
