Veronika Patkós and András Szántó have recently published an article entitled "Does sophistication increase partisan bias? Evidence from a cross-national analysis" in European Politics and Society.
Bartha Attila and his co-authors (Birtalan Ilona Liliána, Neulinger Ágnes, Bárdos György, Oláh Attila, Rácz József, Rigó Adrien) have recently published an article entitled "Community Supported Agriculture as a Driver of Food-Related Well-Being" in Sustainability (IF: 2,592).
"The Orbán Regime Plebiscitary Leader Democracy in the Making" written by András Körösényi, Gábor Illés and Attila Gyulai was released on 4th May 2020 at Routledge.
The Institute for Political Science at the Centre for Social Sciences calls for applications for a three-month visiting researcher fellowship in “Public policy in the digital age”. The successful candidate will be affiliated with the Department of Government and Public Policy.
Márton Bene and Miklós Sebők joins the online journal Frontiers in Political Science as Review Editors in the section of Methods and Measurement.
Rudolf Metz and Dániel Oross have recently published an article entilted „Strong Personalities’ Impact on Hungarian Party Politics: Viktor Orbán and Gábor Vona” in "Party Leaders in Eastern Europe” edited by Sergiu Gherghina.
The study of political phenomena has attracted scholars from different disciplines (such as comparative politics, political economy, political sociology, and political communication), who approach intertwined questions from distinct perspectives. The resulting discourses, however, rarely engage with each other, while a comprehensive understanding of politics requires the joint application of diverse theoretical and methodological approaches, as well as syntheses of their results. This year’s instalment of our graduate conference, organized for the fifth time, aims to promote joint discourse and reflection by providing a forum for doctoral candidates and (post)graduate students engaged in political research.
Apache Spark is currently one of the most popular open-source cluster-computing frameworks. With its Machine Learning Library (MLlib) it supports the easy scaling of a range of feature extraction and machine learning tasks commonly employed in text mining. Furthermore, it works with both Python and R.
The Third International and Interdisciplinary Conference on the Quantitative and Computational Analysis of Textual Data will be held in Innsbruck, Austria, on 15-16 May 2020.
