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SIGMA - TAČR (2025 - 2028)
Experts agree that the spread of mis- and disinformation and its impact on cognitive processes and the resilience of democratic society are among the most critical challenges today. This project aims to develop an agent-based model (software) to simulate the dynamics of mis- and disinformation dissemination.
Prostředí pro život - TAČR (2025 - 2027)
The aim of the project is to develop new tools to assess the dispersion of traffic emissions in urban areas at high temporal and spatial resolution. The main output of the project will be software for the assessment of the current air quality and the impact of traffic scenarios in urban hotspots. The results will be used by the Ministry of Environment and the municipal authorities to propose measures to achieve the air quality limits.
MPO - TWIST (2025 - 2027)
The goal of our project is to create an innovative AI agent that will transform the way users interact with web applications. This agent will be represented by an animated avatar, enabling friendly and intuitive communication through voice or text. Users will be able to simply speak or type their requests, and the AI agent will execute the desired action or provide relevant information.
MSCA - OP JAK - MŠMT (2025 - 2027)
The aim of the project is to strengthen the internationalization of the research environment at the Institute of Computer Science of the CAS. The project will be implemented through two key activities (KA). The aim of the first KA is to deepen the understanding of CDMs. The aim of the second KA is to develop a graph neural network for identifying subtypes of schizophrenia from fMRI.
OP JAK - MŠMT (2025 - 2028)
Schizophrenia is a complex neuropsychiatric illness that profoundly affects the lives of patients and their loved ones. The BRAINSCAPE project brings a new approach to Schizophrenia research and therapy, using a combination of precision and personalized medicine. A key component of the project is linking disease stratification with biomarker identification, supported by advanced technologies and ESO's unique biorepository - one of the world's most extensive multimodal data sources focused on early stages of Schizophrenia.
OP JAK - MŠMT (2025 - 2028)
The project addresses contemporary challenges related to the negative impact of circulating representations of the digital ecosystem on individual psyche and social behaviour. The aim is to provide a multidisciplinary programme of analysis of the mechanisms of maladaptive representations. It includes three aims studying the impact of media representations on individuals and subsequently on society. These analyses provide an empirical basis for the design and evaluation of remediation strategies targeting the most problematic domains of global phenomena.
OP JAK - MŠMT (2025 - 2028)
The objective of this project is a complex analysis of creation, dissemination, reception and impact of fake news using AI. It combines methods from the social sciences, humanities and natural sciences in a synergistic and interlinked research project. Through key activities of the project, it links research in the Czech Republic with the international environment of excellent research teams.
OP JAK - MŠMT (2025 - 2028)
The main objective of the project is to investigate the impact of new technologies and related innovations on the processes of generation, circulation, validation, adaptation, and application of knowledge in society.
Lead Agency grant projects - GACR (2025 - 2028)
The goal of this project is to link core computational operations that are specific to human language (verbal working memory, merging) with structural features that distinguish humans from their closest relatives. We will perform a language comprehension experiment that will yield behavioral, MEG, and diffusion MRI data, which will be used to specify individual whole brain models.
JUNIOR STAR - GACR (2025 - 2029)
Interpolation is a fundamental metalogical property of broad importance to several fields, including software/hardware verification, databases, mathematics, and philosophy. This project aims to bridge the gap between the two dominant paradigms in the study of interpolation: the proof-theoretic approach and the algebraic approach.
Bilateral grant projects - GACR (2025 - 2027)
Reasoning about knowledge, time, and action is fundamental to human cognition. However, current formal models used in analytic philosophy often struggle to capture the nuances of how we reason about these concepts. Taking into account the relation of relevance between information and conclusions drawn on its basis, this work will result in more realistic models of reasoning about knowledge, time and action, with immediate impact in analytic philosophy.
Standard - GACR (2025 - 2027)
This project aims at further development, original extensions and novel applications of state-ofthe-art methods that lie on the borderline between information theory, nonlinear dynamics and statistical physics to study and identify precursors and warning signals of transitions (critical or benign) in complex systems.
Standard - GACR (2025 - 2027)
Modern artificial intelligence technologies based on deep neural networks (DNNs) such as GPT are computationally extremely demanding. In addition to consuming an enormous amount of energy, this limits their deployment in battery-powered embedded (edge) devices (e.g. smart mobile apps).
Standard - GACR (2025 - 2027)
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. Educational measurements yield complex data that are not sufficiently harnessed. The project uses available data from secondary school leaving exams, admission tests, and other educational assessments to gain a deeper understanding of cognitive demands of assessment tasks.
Standard - GACR (2025 - 2027)
Rieger, Vopěnka, and Hájek are pioneering figures in Czech formal logic. Their paradigmshifting works span roughly the second half of the twentieth century. Vopěnka and Hájek promoted new axiomatic theories with foundational ambitions. This project targets the examination of the body of their work from the present-day, pluralist position in the philosophy of mathematics, which we claim they instantiate.
CAS - Strategy AV21 (2025 - 2029)

AI has experienced tremendous growth in recent years. Especially with the rapid development of generative AI technologies, AI as well as ML, has come to the forefront across a broad spectrum of human activities, including research. The goal of the program is to support research and development in the area of general AI and machine learning methods but also the application of AI methods at various institutes of the Czech Academy of Sciences, as well as research into the societal aspects of AI.
OP JAK - MŠMT (2024 - 2026)
This project aims to uncover how white matter alterations impact brain function in schizophrenia, using innovative whole-brain modeling and advanced neuroimaging techniques.
THETA 2 - TACR (2024 - 2026)
The goal of this project is the development of a comprehensive Lancelot GDS (Generation Dispatch Systém) optimization tool for power flexibility aggregators to increase the use of renewable resources.
OP JAK - MŠMT (2024 - 2028)

The main research objective of the project entitled Natural and Anthropogenic Georisks is 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.
Prostředí pro život - TAČR (2024 - 2026)
The proposed project takes a new approach to vegetation modelling, which will allow for different scenarios of landscape change impacts on vegetation and species diversity. This will help to promote an environmentally (biodiversity) but economically sustainable use of resources.
EU - Horizon RIA (2025 - 2027)
Urban mobility poses various challenges to CCAM systems. Timely and reliable detection of occluded objects and especially vulnerable road users (VRUs) is a major one. To tackle this challenge, HIDDEN is developing advanced collective awareness (CA) and decision-making algorithms, with or without road infrastructure support.
EU - Horizon RIA (2024 - 2027)
The frequency and intensity of climate and weather extremes associated with anthropogenic climate change are increasing and will challenge us in terms of adaptation strategies at the local level. The project “Climate Resilient Development Pathways in Metropolitan Regions of Europe (CARMINE)” bridges the local and regional scales by providing impact-based decision support services.
OP JAK - MŠMT (2024 - 2028)

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. Due to the biopsychosocial perspective we take in the project, the project is interdisciplinary in nature.
OP JAK - MŠMT (2024 - 2028)

The project is focused on the development of computational models of brain activity that capture the dynamics of the brain at different time scales. The goal of the project is to develop research in the field of applied computational neuroscience in the Czech Republic, especially through the implementation of top research, strengthening ties to top foreign workplaces, developing the personnel capacities of the involved research teams and strengthening their experimental and computational capacities.
Lumina quaeruntur - CAS (2023 - 2027)
Tento projekt se nachází v oblasti počítačové neurovědy, která spojuje různé obory jako neurověda, aplikovaná matematika a informatika.
Projects of Large Research Infrastructures - MŠMT (2023 - 2026)
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. The core of the present Fermilab research programme is the neutrino experiments, including NOvA and DUNE experiments. FERMILAB-CZ's main knowledge expertise is the detector laboratory, which is engaged in the design and construction of detectors, and the mathematical expert group, which is involved in the development and application of advanced statistical and deep machine-learning artificial intelligence algorithms for data analysis.
"Prostředí pro život 2" - TACR (2020 - 2026)
The main goal of the project is to develop methods of air quality control, methods of identification of air pollution sources and their share in air pollution concentrations with a focus on current main problems of air quality and difficult quantification of different types of pollution. Consequently, model tools need to be developed to identify dispersion of air pollution, both with regard to current concentrations but also with a view to future expansion.
MSCA-RISE - EU (2021 - 2026)
Modal logics are a family of formal systems based on classical logic which aim at improving the expressive power of the classical calculus allowing to reason about “modes of truth”. The aim of the present proposal is 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. Our aim is also to explore the applications of substructural modal logics outside the bounds of mathematical logic.