The Training School provided a valuable opportunity to strengthen methodological skills and foster collaboration across the EUPopLink network.

Over two days, participants engaged in a dynamic programme combining theoretical discussions on populism and Euroscepticism with hands-on sessions on survey design, data harmonization, and multilingual research tools.

The 1st EUPopLink Training School took place in Lisbon at ISCTE – Instituto Universitário de Lisboa.

#COSTactions #ScienceWithoutBorders #EUPopLink #TrainingSchool #PoliticalScience #SurveyResearch #ResearchCommunity

Way to start 🚀 Looking forward to the upcoming publications!

We are pleased to share that the first EUPopLink article has now been published on Open Research Europe: “The populism–euroscepticism nexus in a contested Europe: The EUPopLink COST Action.” open-research-europe.ec.europa.eu/articles/6-27

Περισσότερες πληροφορίες, καθώς και το αναλυτικό πρόγραμμα του Συνεδρίου είναι διαθέσιμα από τον σύνδεσμο: datis.gr/greek-confer...

Η είσοδος στις εργασίες του Συνεδρίου είναι ελεύθερη.

Το Συνέδριο απευθύνεται σε ακαδημαϊκούς, δημοσιογράφους, φοιτητές και φοιτήτριες, ερευνητές και ερευνήτριες και σε κάθε ενδιαφερόμενο/η. Θα δοθούν βεβαιώσεις συμμετοχής στους παρευρισκόμενους.

Είμαστε στην ευχάριστη θέση να σας προσκαλέσουμε στο Πανελλήνιο Συνέδριο του ερευνητικού προγράμματος DATIS, που θα πραγματοποιηθεί στις 16 και 17 Δεκεμβρίου 2025, στην αίθουσα 212 της Σχολής Κοινωνικών και Οικονομικών Επιστημών του ΑΠΘ.

Plot showing perception of voter ideology of candidates overtime. It is separated by House and Senate. Republicans are drifting slightly to be more conservative, Democrats are mostly staying in one place.

Plot showing messaging ideology of candidates overtime. It is separated by House and Senate. There is increasing separation between parties over time, with Republicans becoming messaging more moderately during the Trump era and then shifting to the right during Biden.

New paper with @hjghassell.bsky.social and @michaelheseltine.bsky.social out in @bjpols.bsky.social.

We develop measures of voter perceptions of candidate ideology and candidate messaging ideology and find that perception's are related to what candidates say www.cambridge.org/core/journal...

🤔 Do surveys exaggerate democratic support due to social desirability bias (SDB)?

➡️ Using survey-mode variation & list experiments in 24 countries, @pcmagalhaes.bsky.social & @aarslew.bsky.social find no evidence that SDB inflates democratic attitudes www.cambridge.org/core/journal... #FirstView

yes

Americans are most likely to encounter people from different economic classes in gas stations, restaurants and hotels. This mixing is least likely to happen in elementary and secondary schools, while exercising, and in supermarkets. www.sciencedirect.com/science/arti...

ggplot2 4.0.0 A new major version of ggplot2 has been released on CRAN. Find out what is new here.

I am beyond excited to announce that ggplot2 4.0.0 has just landed on CRAN.

It's not every day we have a new major #ggplot2 release but it is a fitting 18 year birthday present for the package.

Get an overview of the release in this blog post and be on the lookout for more in-depth posts #rstats

The Weird and Wonderful History of British Election Voter Segmentations This "Stockport Man" outlines his ironic (and unironic) love of the a proud British election tradition

The weird and wonderful history of British voter segmentations: the names, the ideas, the myths!

From how "the man on the Clapham omnibus" changed English common law to how "Gail's Voter" helped the Lib Dems gain 64 seats in 2024 to what works well when doing segmentation (and what doesn't)

In an experiment, Pew Research Center demonstrated that opt-in and probability-based surveys produced very different results about young adults' views of the Holocaust and abortion.

Remember, if you encounter what seems like an implausible survey finding, ask:
1. Were survey respondents selected randomly or was this an opt-in poll?
2. Could the results, especially for young adults, be driven by bogus respondents?

Keep this post in mind: www.pewresearch.org/short-reads/... 🧪

Full (and fun!) days at #ECPR2025 @ecpr.bsky.social last week, presenting and catching great panels with work from our @datisproject.bsky.social s and @eupoplink.bsky.social teams.

Thank you! Absolutely — hopefully we’ll cross paths soon =D

Congratulations!!

Large partisan differences on the effect of tariffs on the economy, though relatively little change over time. >50% of Reps say tariffs help. Those saying hurt the economy up slightly across partisanship; help economy down a bit with independents. @MULawPoll national surveys.

"Black cities were at the epicenter of fraud dialogue... electoral confidence deteriorated most for racially-resentful Whites post-election in 2020.... racially resentful White Americans are especially likely to believe accusations of fraud when...racialized"

link.springer.com/article/10.1...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities Abstract Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals). Illustrated are 1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals 2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and 3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

🇬🇷 @gotinakos.bsky.social presented Greece’s Country Report on Populism and Euroscepticism.
Focus on party strategies, public attitudes, and the Greek case in comparative perspective.

If you have some discretionary time, a coffee around the marina in Aretsou could be worth it, but you'll most likely need to commute by bus from the city center. Kastra can be lovely too, but ideally not during peak sun hours-also closer to campus.

The problem with 'average over different coding or modelling decisions' is often we will find that different decisions aren't even targeting the same estimand, in ways that may not be clear from the outset

Our project's conference is taking place later this week ⬇️⬇️

Join us on Monday!

Pleased to share the latest version of my paper with Arthur Spirling and @lexipalmer.bsky.social on replication using LMs

We show:

1. current applications of LMs in political science research *don't* meet basic standards of reproducibility...

DATIS project, funded by ELIDEK, participated with a presentation by @efteperoglou.bsky.social at EEPE & EKKE event on European Elections 2024, Political and Electoral Analysis, in Athens, on June 14.

The presentation was about the research results of DATIS (Deliverables 4.1, 4.2, 5.1) using @isspsurvey.bsky.social data with the title: “Sequential Mixed Mode Surveys with Mobile Phone Numbers for Increased Coverage”.

DATIS project, funded by ELIDEK, participated at the 78th Annual WAPOR Conference 2025, St. Louis, Missouri, USA, May 12-15, 2025, with a presentation by Professor @andreadis.bsky.social