🚨New Data🚨 We just released the "Machine-translated ParlSpeech V2" on Harvard Dataverse! It contains 3.5M parliamentary speeches from 7 countries (AT, CZ, DE, DK, ES, NL, SE) translated into English using open-source models. w/ Adam Černý @chrauh.bsky.social @janschwalbach.bsky.social ⬇️
Štěpán Jabůrek
@stepanjaburek.bsky.social
Political Science PhD student @charlesuni.cuni.cz international cooperation, political behavior, NLP, #Rstats https://stepanjaburek.github.io/
Bored while your Bayesian model samples? Try my basically useless (and massively vibecoded) R package "bayeswatch🏝️"! You can watch some nice MCMC animations directly in your RStudio/Positron while you wait! "bayeswatch" simply wraps animations by Chi Feng on top of brms and rethinking 🧵
🥳Extremely happy that I have been accepted for a PhD position in International Relations at @fsv.charlesuni.cuni.cz. I will (hopefully) research the politicization of international economic cooperation in Europe using NLP and quantitative methods in a IR + party politics setting 🔽
Had an amazing time at my first #COMPTEXT2025 in Vienna. Happy to see so much cool research, get the chance present our paper and represent a growing team of researchers from the Institute of Political Studies @fsv.charlesuni.cuni.cz
The fires are revealing how good elected officials are at their jobs. Unbiased information systematically affects electoral fortunes. This is why natural disasters being bad for incumbents on average isn't evidence of voter irrationality. voices.uchicago.edu/ethanbdm/fil...
voices.uchicago.edu