New paper published in Scientific Data

Our IfD faculty members and affiliates Jozef Michal Mintal, Kamila Borsekova, Vladimír Müller, Robert Vancel and Patrícia Šimková joined by Lorenzo Cicchi (EUI) and Kevin Deegan-Krause (Wayne State) have published their latest paper in the prestigious journal Scientific Data. The paper introduces an open-access dataset from the 2023 Slovak Parliamentary Elections, generated by the Volebný Kompas (Election Compass) voting advice application that the team implemented last year together with our colleagues at the Robert Schuman Centre for Advanced Studies within the #BRRIDGE Horizon project lead by Kamila Borsekova and Jozef Michal Mintal. The dataset is one of only a few fully open-access datasets globally that come from a national elections VAA.

The data includes over 134,000 voter responses, collected over 26 days leading up to and including the 2023 snap Slovak Parliamentary Elections, along with a detailed record of 429 policy positions from 11 political parties. Both datasets offer a comprehensive look at voter and party positions across 39 key political, economic, and societal issues, as well as many additional data.

To make things even easier to explore, the team has also provided R code for various analysis, along with many of additional resources (e.g., datasets for comparative purposes, census re-weighting, etc.).  Dr. Mintal comenting on the paper said “we truly believe this can provide insights not only within the Slovak electoral context but also into broader contemporary European political and social trends.”

You can find the full paper and datasets here: www.nature.com/articles/s41597-022-01808-2