It is one of only 14 projects to be successful in the network’s call for proposals from a pool of nearly 200 proposals.
Goran Glavaš, junior professor for Text Analytics at the University of Mannheim, is one of the three researchers in charge of the project Willingness and Capacity for EU Policy Action in Turbulent Times: Conflicts, Positions and Outcomes. The other universities involved in the project apart from the University of Mannheim are Leiden University and the University of Strathclyde. Funding is provided with a total grant of 1.2 million euros, of which the University of Mannheim receives 350,000 euros.
The aim of the research project is to analyze which political decision-makers determine the decision-making processes in the EU and how they influence political areas such as security, research and development, the economy or the environment.
Since most sources of data that are interesting for the political analysis are unstructured texts, it is necessary to process these semantically in order to retrieve the relevant information. This is where the computer scientists from Mannheim come in: their methods for natural language processing make it possible to analyze various political texts, such as party platforms and transcripts of speeches held in the European Parliament or the national parliaments.