Disinformation research and policy responses in the Balkans
Citizen susceptibility to conspiracies and misinformation in the Balkans is among the worst in Europe, as shown in a 2020 study by GLOBSEC. The problem is exacerbated by the lack of independently certified, established fact-checkers in Bulgaria, and until very recently in Romania too.
This motivated our institute to establish a new research priority area dedicated to studying online disinformation in the Balkans and developing new AI methods for large-scale disinformation analysis in English, Bulgarian and other Balkan languages.
Leader: Dessislava Petrova-Antonova
Data management includes principles and techniques for data management such as data acquisition (collection, structuring and storing, generalization), data cleaning (consistency checking for out of range data records or extreme values, logical inconsistences finding, as well as treatment of missing responses), data aggregation and linking (transformation of large quantities of data to linked data through semantic web technologies), as well as privacy and anonymization mechanisms to facilitate data protection.
Leader: Ivan Koychev
Data analytics includes processing and analysis of data to improve data understanding and the meaningfulness of data. Data processing is related to data modelling, analysis and reasoning including semantic and knowledge-based analysis, scalable and incremental reasoning, linked data mining and cognitive computing.
Data insight provides both accessibility and proper visualization, including advanced visualization techniques that consider a variety of Big Data (i.e. graphs, geospatial, sensor, mobile, etc.) available from diverse domains.
Engineering and development affects all technology directions and considers the integration of science with engineering and design by adopting proper methodologies and toolchains.