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The new Frontiers Research Topic ’Analysing Legislative Backsliding and Democratic Deconsolidation with Big Data’ welcomes papers from a wide variety of methodologies, particularly those relying on quantitative text analysis, text mining, machine learning, and related Big Data approaches.
We successfully held the online kickoff conference of the CSS Artificial Intelligence National Laboratory with more than 120 participants. In addition to the presentation of the subprojects taking place in the Centre, the audience was able to get acquainted with the projects running in the institutions participating in the MILAB consortia. The event was divided into three sessions, with a total of 10 presentations. Without being exhaustive, the audience was able to get answer many exciting questions, e.g. the possibilities of different professional applications of natural language processing, or how to model mass spatial motion from mobile communication date and identify groups with similar spatial behavior patterns based on them, or the challenges of the legal environment of artificial intelligence.
POLTEXT’s proposal for ParlaMint’s ‘Call for New Languages’ has been successful and POLTEXT will now have the opportunity to contribute parliamentary corpora to ParlaMint’s (CLARIN) collection.
The application of CSS is approved by Board of Directors of BDVA. The decision for decisive acceptance will be made during the next BDVA General Assembly Meeting in November.
More about BDVA: https://www.bdva.eu
The Artificial Intelligence National Laboratory (MILAB) aims to strengthen Hungary's position in AI. MILAB aims to promote and finance publications, patents, technology transfer and industrial relations on the priority topics related to AI. The main objective is also to link and joint representation of industrial, university and research institutions in the field in market and international projects.
On behalf of CSS, principal investigators are Miklós Sebők (PTI-POLTEXT) and Bence Ságvári (CSS-RECENS; SZI).