Month: November 2025

6 November 2025 – Ádám Kerényi chairs panel at Network for European Studies Conference

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Ádám Kerényi chaired a panel on Competitiveness and Economic Development at the “2nd Network for European Studies Conference”. The event took place on 6 November, and was hosted by National University of Public Service. The session featured presentations by the following speakers: Enikő Győri (Member of the European Parliament), Csaba Fási and Petra Szűcs (National University of Public Service), Gabriella Németh (University of Szeged), Krisztián Manzinger and Ákos Kántor (Károli Gáspár University of the Reformed Church in Hungary).

31 October 2025 – Models developed by poltextLAB were used in research on parliamentary conflict in Portugal

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Models developed by poltextLAB were applied in new research on parliamentary conflict in Portugal, using a newly released dataset on legislative activity. The Portuguese Parliament (Assembleia da República) Roll-Call Votes Dataset (1980–2024) has just been uploaded to the Harvard Dataverse, covering all legislative proposals from the II Legislature (1980–1983) to the XV Legislature (2022–2024). From 1999 onwards, proposals are classified into 21 major policy categories based on the Comparative Agendas Project (CAP) framework, using CAP Babel Machine models. This version of the dataset was used in a recent article co-authored with Sofia Serra-Silva and Tiago Silva examining how the entry of the radical right into Parliament has contributed to escalating parliamentary conflict. The study is available here: https://www.frontiersin.org/journals/political-science/articles/10.3389/fpos.2025.1553921/fullDataset available here: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/VJDEVKResearchers and practitioners can also access the models developed by poltextLAB on HuggingFace: https://huggingface.co/poltextlab The Babel Machine is available here: https://babel.poltextlab.com/

29 October 2025 – Miklós Sebők’s workshop on Generative AI at the University of Tampa

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On 29 October 2025, Miklós Sebők held a workshop for the University of Tampa’s faculty and computer science students titled Generative AI for Research (with some computer science applications). The session explored how generative artificial intelligence tools, including large language models, can enhance academic research workflows across the social sciences and computer science. Dr Sebők demonstrated practical examples of AI-assisted data collection, text analysis, and literature synthesis, showing how these tools can accelerate empirical and theoretical investigations.