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.
Blog of QTA
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.