DigiWorld research area priority domains
- Advanced computational methods and artificial intelligence (AI)
The domain covers the research, both basic and applied, which blaze the trail to the development and conception of new computational techniques adjusted to different types of data, including among other things: non-standard types of machine learning (ML; e.g. semi-supervised learning, multi-task learning, multi-modal learning); non-linear signal multiplexing; advanced ML optimization methods; ML on small datasets, explainable AI; designing biologically based neural networks, building neuromorphic systems; quantum algorithms and quantum cyber security; computational social choices; analyses of image, speech, data streams etc.
- Digital transformation of society and economy
The domain addresses research problems of digital transformations as well as the human being and society in the digital world, including among other things: human-machine interfaces, brain-computer interfaces, affective computing; psychological effects of digitalization as well as the use of tools of artificial intelligence for the analysis of psychological experiments; ethics, law and politics in relation to the development, implementation and use of information and communication technologies (e.g. autonomous machines), but also machine-learning-assisted legal decision processes; cyber security problems (securitization of the cyberspace, dehumanization of the battlefield); digital economy and macroeconomic and financial risk in a digital world (including the use of neural networks in the analysis of data from financial markets, exchange markets etc.); the effect of the newest technologies on media and social communication (including quantitative analysis, e.g. in order to develop strategies of fighting fake news).
- Digital humanities
This domain includes among other things: digital studies of language, literature and art: quantitative and qualitative analysis of text and multimedia data, use of computational methods (machine learning, information retrieval, text mining, natural language processing) in literary, linguistic and cultural studies (stylometry, computational linguistics, including corpus linguistics, machine translation studies etc.); cultural heritage digital archives (text, image, sound, film, maps and 3D models): generating and maintaining digital resources, including text and multimedia digitalization, architectural, archaeological and other scans: effect of digitalization on social and cultural life; communication/cultural texts in a digital world (e.g. computer games, new media, electronic literature), digital tools and methods in teaching and translation.
- AI in exact and life sciences
This domain spans the application and adjustment of diverse methods of artificial intelligence to large datasets in specific research problems of exact and life sciences, among other things: processing and analysis of macro- and microscopic images from space missions, generating and interpreting digital terrain models (DTMs); processing social, economic, geographical and other spatial data (satellite, aerial, lidar etc.) in order to model complex systems human – environment; analyses of medical and biological images; modelling and prediction of the properties and reactivity of chemical compounds, bioactive substances etc., investigation of self-organization of complex systems at the micro scale; optimizing and detecting elementary particles in the LHC experiments.