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The Institute research potential can be roughly classified into two categories:
the development and application of methods of analysis and modelling of real-world complex networked systems, with particular interest in the structure and dynamics of human brain function.
focused on extremal graph theory and computational geometry
study of (non-classical) logics
research and development of statistical models and computational methods for measurement analysis in the social sciences
Development of computational models of brain activity that capture the dynamics of the brain at different time scales.
Analysis of creation, dissemination, reception and impact of disinformation (fake news) in society, with a specific focus on the use of artificial intelligence (AI) tools in its detection.
To understand natural and man-made threats, hazards, and risks in the Earth's upper spheres, to explore their causes and to quantify their potential impacts on human society and infrastructures.
The DigiWELL project responds to research challenges in key areas of the rapidly evolving domain of digital technologies aimed at promoting physical, mental and social wellbeing.
The project aims to put forward a systematic study of substructural modal logics, understood as those modal logics in which the modal operators are based upon the general ground of substructural logics, weaker deductive systems than classical logic.
Bridging the local and regional scales by providing impact-based decision support services and multilevel climate governance supporting local adaptation, including both traditional and Nature-Based Solutions.
Developing new tools to assess the dispersion of traffic emissions in urban areas at high temporal and spatial resolution.
The project aims to improve understanding of the cognitive demands of test items by proposing methods for complex educational measurement data analysis involving text analysis and equating different test forms.
The FERMILAB-CZ is devoted to Czech collaboration with the U.S. national laboratory Fermilab, the primary concern of which is the research of elementary particles.
Past projects:
Weather and air pollution forecasts.
sensitivity of the Gauss-Christoffel quadrature and its relationship to the CG and Lanczos methods, extension of the core problem theory to multidimensional case, numerical stability and stopping criteria in iterative solvers, convergence behaviour in relation to various properties of the problem and open questions in the mathematical theory of optimal short term recurrences.
Examination and development of theoretical backgrounds of the semantic web, mainly from the point of view of modern AI methods and methods of computing by nature
focused on Krylov subspace methods, open questions related to their convergence, associated matrix approximation problems, error estimation and stopping criteria.