www

Abstract

Predictive maintenance (PM) is currently considered the main application of artificial intelligence (AI) in manufacturing. The related potential of manufacturing small and medium-sized enterprises, which are very strongly represented in the program region, is not sufficiently used for several reasons. The conditions for the widespread application of artificial intelligence in predictive maintenance by small and medium-sized enterprises are largely absent. This also includes easy and uncomplicated use by operating personnel on site. Unlike maintenance workers in large companies, these workers are often not specifically trained in the possible applications, benefits and potential dangers of artificial intelligence in predictive maintenance. The goal of the project is therefore the creation and transfer of general and transferable knowledge for manufacturing SMEs on predictive maintenance (output) based on artificial intelligence applicable in a wide range of manufacturing and processing industries.

Aims

• Research and demonstration of artificial intelligence algorithms for predictive maintenance with particular reference to the knowledge and needs of SMEs in the program region.
• Cross-border linking of relevant research partners in this field with the aim of establishing long-term cooperation aimed at the synthesis, exchange and joint development of the state of knowledge in the field of artificial intelligence-based predictive maintenance of wear-prone equipment or components for manufacturing SMEs.
• Creation and transfer of generic and transferable knowledge for manufacturing SMEs on AI-based predictive maintenance (output) applicable to a wide range of manufacturing and process industries.

Outputs

• General and transferable knowledge for SMEs in AI-based predictive maintenance.

Project manager: Mgr. Ivana Očásková

www

Abstract

Mental retardation (ID) and autism spectrum disorder (ASD) are devastating and co-occurring neurodevelopmental disorders. Concomitant immune and metabolic pathologies have a major impact on disease morbidity and mortality, but treatment strategies are limited. I am convinced that identifying the underlying causal mechanisms can change this and lead to the development of effective treatments. I want to investigate the role of genetic defects responsible for cognitive and behavioral deficits in ID/ASD with immune and metabolic dysfunction. I will use the fruit fly model Drosophila melanogater, with strong genetic and biological similarities to humans. I will manipulate orthologous ID/ASD genes with important cognitive function, increased transcriptional activity in the immune response, and association with immune or metabolic abnormalities in individuals with ID/ASD. I will be looking for those that cause decreased survival in bacterial infection. Furthermore, I will determine which mechanisms are the basis of survival defects, verify their role in the immune response and immune-related metabolic processes, and try to restore the function of these processes by interfering with them. I expect to discover new therapeutic targets and strategies that can be translated into the clinic and eliminate immune and metabolic pathologies in people with ID/ASD. In addition, I will examine the relationship of immune metabolic dysfunction to cognitive deficits, a core feature of ID/ASD. If I find a connection, the newly discovered treatment strategies may also be useful in treating cognitive symptoms. So my research has great potential to open up a whole new biological topic in neurodevelopmental disorders. The improved research direction established in this Drosophila model project will allow me to capture the clinical complexity of ID/ASD disorders, advance my knowledge of the underlying mechanisms, and help me fulfill my long-term research mission: to find a cure for ID/ASD.

Aims

• Research into the mechanisms and pathology of immune and metabolic dysfunction in neurodevelopmental disorders (autism spectrum disorder, ASD)
• Identification of underlying causal mechanisms to develop effective treatment.
• Investigating the role of genetic defects responsible for cognitive and behavioral deficits in ID/ASD disease in immune and metabolic dysfunction.

Outputs

• Publishing research results in top open access journals (PLOS Biology, eLife, Nature Communications).
• Presentation of findings at international conferences.
• Participation in various events such as school visits, open days, courses and the European Night of Scientists.

EvoGamesPlus (ID 955708)
Name: Evolutionary games and population dynamics: from theory to applications
Solver: Křivan Vlastimil, Department of Mathematics
Coordinator: Staňková Kateřina, University of Maastricht, Nizozemí
Partners: City University of London, London, UK; Max-Planck-Gesellschaft zur Forderung der Wissenschaften EV, Munich, Germany; Okologiai kutatokozpont, Tihany, Hungary; Technische Universiteit Delft, Delft, Netherlands; University College Cork - National University of Ireland, Cork, Ireland; Uniwersytet Warszawski, Warszawa, Poland; Medizinische Universitaet Wien, Vienna, Austria; Queen Mary University of London, London, UK; Universita degli Studi di Torino, Torino, Italy; The University of Liverpool, Liverpool, United Kingdom; Szegedi Tudomanyegyetem, Szeged, Hungary; Jihoceska univerzita v Ceskych Budejovicich, CZ; Instituto per L´Interscambio Scientifico, Torino, Italy
Realization: 01/03/2021 – 28/02/2025
Budget: 3 980 389,90 EUR (projekt) / 234 871,42 EUR (PřF)
Provider: European Commission
Program: H2020-MSCA-ITN-2020
www

Abstract

Evolutionary game theory (ETH) was developed as a mathematical means of describing Darwinian evolution. She played a key role in elucidating the evolution of aggression (the hawk and dove model) and the evolution of cooperation (the prisoner's dilemma). The original models focused on describing changes in the percentage representation of individual strategies (phenotypes) in the population and did not consider important factors such as changes in population size, interactions between two or more populations, social relations, etc. Over time, a number of these factors were taken into account in within the ETH and a number of new methodologies were developed. ETH has also been used in fields such as economics, social sciences, political science and medicine. It is therefore a rapidly developing area both in terms of basic methodology and applications. Since the development and application of ETH requires interdisciplinary knowledge in both mathematics and biology, this project offers a good opportunity for early researchers to acquire such knowledge. 15 European institutions and 15 collaborating institutions from around the world are participating in the project. The project focuses on 4 research topics that both develop methodological approaches of ETH (e.g. modeling of structured populations, differential equations) and further focus on applications (modeling of cancer, modeling of dynamics of interacting populations and epidemiology).

Aims

The aim of the EvoGamesPlus project is to train 15 young researchers who will become familiar with the current state of knowledge in the field of ETH and will be able to apply the acquired knowledge to solving problems in the real world. EvoGamesPlus focuses on the following areas:

• Development of ETH models describing interactions in structured populations.
• Dynamic aspects of ETH.
• Application of ETH to cancer modeling and design of new approaches for treatment.
• Development of ecological and epidemiological models.

Outputs

• Publications in scientific journals and conference proceedings.
• Regular presentations of results at international scientific conferences by ESR and other researchers working within this project.
• Presentation of results to students of local universities of academic institutions.
• ITN conferences will be open to all scientists and presentations will be freely available on the network's website.
• Whenever possible, data will be freely available through a public data repository.
• Each ESR will complete a short-term internship at ITN workplaces at least twice during their doctoral program.

PhD position

PhD project under the supervision of prof. Vlastimil Křivana focused on "Models of eco-evolutionary dynamics of population interaction networks" is available until 31. 3. 2021 on Euraxess and in PDF.

Elster Josef, Center for Polar Ecology
01/01/2021 – 31/12/2024
EC, H2020-LC-CLA-2020-1, ID 101003766

Project manager: Mgr. Kateřina Máchalová Zemanová

INTERACT 3 (ID 871120)
Name: International Network for Terrestrial Research and Monitoring in the Arctic
Solver: Pechar Jan,Polar Station
Realization: 01/01/2020 – 31/12/2023
Budget:  1.120.937,50 CZK (PřF)
Provider: Evropská komise
Program: H2020-MSCA-ITN-2020
www

Abstract

Planet Earth is facing unprecedented environmental changes that will affect all members of society. The Arctic climate is warming at more than twice the global rate, and unpredictable extreme events are having a major impact on ecosystems and people. However, Arctic atmospheric circulation is causing extreme events and societal damage beyond the Arctic that require international research and monitoring to understand and predict. In addition, attitudes around the world need to be changed through outreach, while the next generation needs to be equipped to live in a different world. INTERACT III is upgrading a pan-Arctic network of 86 research stations in 16 northern countries to provide services for 155 global and regional networks. In addition, INTERACT's global reputation has attracted the world's leading partners and businesses to participate in reducing the impact of dangerous changes while maximizing the opportunities arising from new technologies. Specifically, INTERACT III ensures the comprehensive coordination of 64 partners and 86 research stations. Station managers design best practices to ensure excellent research, monitoring, education and outreach. INTERACT III builds on the highly successful transnational access program that has already filled the Artic with 900 researchers to continue to deliver excellent science while reducing researchers' ecological footprints by improving remote and virtual access. The transnationality of the approach ensures new collaboration, innovative science and science diplomacy in a time of heightened geopolitical tension. Station managers, transnational access and joint research activities work together to solve major societal challenges in a fully integrated infrastructure, while their data and understanding are made available globally through extraordinary outreach and education and policy briefings for decision-makers.

Aims

Outputs

Kamila Vítovcová, Katedra botaniky

Regionální směsi osiv jako účinný nástroj ochrany diverzity lučních biotopů (Č. 3211100009)
Name: Regional seed mix as an effective tool for protecting the diversity of meadow biotopes
Coordinator: Český svaz ochránců přírody
Partners: Jihočeská univerzita v Českých Budějovicích
Solver: Kamila Vítovcová, Katedra botaniky
Realization: 15/04/2022 – 30/04/2024
Budget: 3 347 316 Kč
Provider: Norské fondy
Program: CZ-ENVIRONMENT

Vohnout Rudolf, Department of Informatics
01/01/2023 - 31/12/2026
MŠMT, Research infrastructures

Project manager: Ing. Lucie Marková

Project manager: Mgr. Radka Bunešová

www

Abstract

Currently, a large amount of multimedia content (audio/video) is offered via online platforms, typically on demand (Video-on-Demand). Today, this practice is completely common for paid services (e.g. online video rentals), but it also appears with platforms for sharing data (e.g. Uloz.to), where the legality of the origin of the data cannot be guaranteed. There are even platforms that can (see the document "On the Net") even claim that their own content, regardless of origin, can be extremely objectionable (eg terrorism, child pornography, etc.). complicating matters further is the fact that the vast majority of that traffic is currently encrypted using the HTTPS protocol, making it much harder to identify. The purpose of the project is to search for ways and mechanisms to find the footprint of specific video streams and subsequently identify them from the network traffic reported via the NetFlow/IPFIX protocol.

Aims

• Verification and development of the above proposed concept or a deeper elaboration of the possibilities of methods of detection of an unknown video stream captured by network traffic probes based on its agreement with the records existing in the database of specific fingerprints of already known streams.
• Study of aspects affecting the detection methods, e.g. the influence of the streaming platform and thus the type of video player used (e.g. Uloz.to, Youtube, Netflix), the repeatable applicability of the video stream fingerprint for its different qualities, the possibility of video stream detection based on the fingerprint only from the captured part of the stream (e.g. user only looks at a small part of the film), the possibility of fingerprint ambiguity (is the fingerprint really unique with a large number of records in the database?), the choice of the ideal representation of the video fingerprint, the general multi-factor influence of network traffic probe settings on the uniqueness of the video stream fingerprint.

Outputs

• Creation of detection models (statistical or based on machine learning methods) and we will evaluate their success with regard to their computational complexity.
• For the best implementation models, a utility that will use these models to identify specific streams.

VResearch partnership: process optimization during production in chemical industry by artificial intelligence (ID LUABA22069)
Name: Research partnership: process optimization during production in chemical industry by artificial intelligence
Solver: Bukovský, Ivo,  Department of Informatics
Realization: 01/07/2022 – 31/12/2024
Coordinator: MŠMT
Partners: Technische Hochshule Rosenheim
Budget: 1 200 000 Kč
Provider: MŠMT

www

Abstract

Unlike applications such as image processing, language translations, or recommendation systems, artificial intelligence in the field of industrial processes remains mainly at the theoretical level of research. Unknown variations in the properties of input materials and environmental conditions, limited training data, the need for an effective real-time solution, the necessity of guaranteeing the stability and convergence of algorithms with machine learning, as well as the actual effectiveness of their deployment are still a challenge to research for extension into industrial practice. The project aims to jointly verify the use of concepts of artificial intelligence (AI) methods with sensor fusion for chemical-technological process optimization and to demonstrate the implementation of AI in various process technology operations. the Czech team will propose concepts for the use of artificial intelligence to optimize the chemical-technological process for real particle treatment equipment, which the German partner has, and will provide the applied part of the research. Cooperation to verify promising Ul concepts on real equipment will result in the preparation of an EU project in a larger consortium with industrial cooperation.

Aims

• Design of concepts using data analysis and sensor fusion of a real chemical-technological process and feature extraction for monitoring and approximating process dynamics with the use of artificial intelligence.
• Design of artificial intelligence concepts for technological process optimization using measured data and extracted symptoms.
• Preparation of a follow-up joint European project in the field of optimization of chemical-technological and production processes using artificial intelligence for industrial practice in a larger consortium of scientific workplaces and industrial partners

Outputs

IMMUNETREH (ID 867430)
Name: Trehalose as a source for privileged immunity in Drosophila
Solver: Kazek Michalina
Mentor: Doležal Tomáš, Department of Molecular Biology and Genetics
Realization: 01/01/2020 – 12/02/2023
Budget: 156 980,64 EUR (PřF)
Provider: EC, H2020-WF-01-2018
www

Abstract

The immune response is an energy-intensive process and immune cells must have privileged access to energy/nutrients. While in mammals this privileged access is achieved, for example, on the insulin-independent glucose transporter, how it is achieved in insects is not known. The host laboratory has obtained preliminary results indicating that privileged access of fruitworm immune cells to nutrients can be achieved by using trehalose instead of glucose. It has been known for a long time that the primary sugar in insects is trehalose, but that this carbohydrate could play an important role in the immunity's privileged access to resources has not been studied until now. Therefore, the aim of this project is to test whether activated immune cells of honeysuckle preferentially absorb trehalose and convert it to glucose intracellularly, and are therefore independent of systemic carbohydrate regulation, and how important this would be for an effective immune response. The project is based on multidisciplinary approaches where tissue-specific genetic tools will be used to manipulate metabolism in vivo to study the immune response using molecular biology, developmental biology and immunology techniques and state-of-the-art metabolic approaches. The goal of the researcher is to learn to use fruit fly genetics and infection models well established in the host laboratory and combine them with his expertise in insect physiology, cell culture and especially metabolomics.

Aims

• Breeding and dissection of fruit lovers.
• Genetics of fruit trees including genetic crosses and various gene manipulations.
• Tissue/cell/transcript-specific gene expression analysis (includes use of FlyBase).
• Immunology of fruit flies and models of infection by parasitoid wasps and bacteria.
• Application of 13C biology and combination of genetic manipulations with metabolomic analysis.
• Soft skills – writing proposals and publications and presentations (supervisor experience and presentations at faculty conferences and seminars, laboratory meetings), mentoring (working with students in the host laboratory).

Outputs

LIFE for MIRES (LIFE17 NAT/CZ/000452 LIFE for MIRES)
Name: Trans-boundary restoration of mires for biodiversity and landscape hydrology in Sumava and Bavaria Forest
Coordinator: Správa národního parku Šumava
Partners: BUND Naturschutz in Bayern e.V., Správa národního parku Bavorský les, Jihočeská univerzita v Českých Budějovicích
Solver: Urbanová Zuzana, Department of Ecosystem Biology
Realization: 01/08/2018 – 31/12/2024
Budget: 5 853 160 EUR (projekt) / 204 616 EUR (PřF)
Provider: European Commission
Program: LIFE

http://life.npsumava.cz/ 

Abstract

Restoration of wetland biotopes is one of the possible ways to reduce the impacts of climate change. Many of the wetlands, especially peatlands in Šumava, are islands of biological diversity, where countless rare plant and animal species find their natural habitat. Wetlands play an irreplaceable role in the hydrology of the landscape and the water cycle, thus having a very favorable effect on the local climate. However, over centuries of intensive human activity, water disappeared from the landscape, wetlands were drained and turned into cultivated land. Nowadays, when drought is becoming a serious problem, it is necessary to devote attention to the correction and restoration of the natural water regime of the landscape. That is why the LIFE for MIRES project was created - life for wetlands, which returns water to places where it has been and shaped the environment around it since ancient times.

Aims

• Cross-border restoration of bogs, wetlands and natural water regime on an area of 2059 hectares.
• Improving the status of habitats for red grouse.
• Involvement of the public in peatland restoration and raising awareness of wetlands and their importance for the water regime in the landscape, including mitigating the impact of climate change.
• Innovation in the field of monitoring the impact of revitalization on water quality, runoff conditions, vegetation, water level and soil moisture.
• Development of a method for monitoring the possible impact of revitalization in mitigating climate change
• Direct involvement of the public in the restoration of peatlands and the development of demonstration objects revitalized near human settlements.
• Sharing and presentation of know-how and experience gained in peatland restoration and landscape hydrology.

Outputs

Project manager: Mgr. Radka Bunešová

www

Abstract

The project is the first step towards the implementation of mobile technologies in the field of cultural tourism in the Czech-Bavarian border region. The partners will develop a mobile application to support tourists by offering them real-time and in-situ tailor-made cultural heritage content. The pilot application will present a specific segment of local culture - rural medieval churches (chapels, free-standing architecture, sculptures, paintings) in the foothills of Šumava and the Bohemian Forest. This area of architectural heritage has often been undervalued due to the limited attention paid to sacred architecture in the area following the expulsion of the German population after the Second World War, secondly due to the main interest of heritage conservation primarily on towns, castles etc. and finally due to the fragmented nature of ecclesiastical parish administration which it remained outside of coordinated efforts to promote tourism. The content can also be expanded to include other areas of cultural heritage.

Aims

• developing a method to improve digital access to the cultural and natural wealth of the region,
• supporting tourism in the neglected area of medieval sacral buildings and spiritual culture in the Czech-Bavarian border area using the latest mobile IT technologies that are deployed on site and in real time,
• educating and spreading awareness about the specifics of the spiritual culture in the border area through the presentation of a little-known part of the cultural heritage that provides surprising information about mutual cross-border relations,
• the Christian mission and influences in the field of architecture and art and about the daily life of the local people and their background of thought,
• increasing the attractiveness of medieval rural sites through a modern presentation format based on the latest IT methods, which will be accessible through generally available and technically undemanding means (mobile phone or tablet) as a long-term sustainable and ecological tool for the presentation of shared history, which will motivate cross-border tourism,
• strengthening tourism and mediating the cultural heritage of the marginal border region through modern means.

Outputs

• a pilot-tested version of the application enabling the identification of cultural heritage objects directly from the field. Another function will be that the application will provide additional information about a specific object,
• websites using the services of a designed search engine enabling the identification of cultural heritage objects based on their visual appearance,
• a methodology for the design and development of tools that will describe the ways and possibilities of using recommendation systems as tools that work to increase the attractiveness of specific objects in a given region,
• a methodology for the use of recommender systems in the tourism industry, which will describe the ways and possibilities of using recommender systems as tools for increasing the attractiveness of specific objects in a given region.

Name: Flora of the Bohemian Forest
Coordinator: Jihočeská univerzita v Českých Budějovicích
Partners: Správa Národního parku Šumava, Přírodovědné sbírky Bavorska, Správa národního parku Bavorský les
Solver: Štech Milan, Department of Botany
Realization: 01/01/2019 – 31/12/2021
Budget: 1 150 700,41 EUR (projekt) / 418 926,22 EUR (PřF)
Provider: Bavorské státní ministerstvo hospodářství, energie a technologie
Program: Cross-border cooperation Czech Republic – Free State of Bavaria Aim EÚS 2014 – 2020

www.florasilvaegabretae.eu/homepage/project

Abstract

Although the research of the Šumava flora has a long tradition on both sides of the border, the overall synthesis has so far encountered different methodological approaches in individual countries, different exploration of individual regions, and limited cooperation between experts due to language or political reasons. Therefore, the presented project will expand and combine the available data on the distribution and ecological requirements of vascular plants in Šumava in a completely unique way, regardless of national borders. A critical evaluation of these data will make it possible to present on a joint website the current and historical distribution and abundance of vascular plants, among other things, in the form of network maps of occurrence with ecological information about these species. This information is absolutely essential for the creation of conceptual measures in the framework of decision-making on the priorities of species and ecosystem protection on both sides of the border. This also includes monitoring the development of populations of rare and endangered species. The easy availability of knowledge about flora and its changes will increase not only the interest in further investigation of plants in Šumava, but also the willingness of the public to take responsibility for its preservation.

Aims

• Collection of all available plant distribution data into national discovery databases
• Connection of Czech and Bavarian databases and joint presentation of extension data
• Transboundary survey of critical plant groups
• Creation of a joint Red List of threatened plant species of the entire Šumava region
• Active protection of the most endangered species

Outputs

• A web application dynamically linking the national database and the common red list of endangered species of vascular plants of the entire Šumava region
• Measures to stabilize populations will be carried out within the project with the help of active management on an area of approximately 20 ha

Project manager: Ing. Renata Krinesová

Mechanisms (CZ.02.1.01/0.0/0.0/15_003/0000441)
Name: Mechanisms and dynamics of macromolecular complexes: from single molecules to cells
Solver: Tůma Roman, Department of Chemistry
Realization: 01/01/2017 – 31/10/2022
Budget: 207 409 734,00 Kč (projekt): 176 298 273,90 (dotace MŠMT) + 10 370 486,70 Kč (5% spolufinancování JU)
Provider: Ministry of Education, Youth and Sports of the Czech Republic (MŠMT)
Program: Operational program Research, development and education (OPVVV) 02_15_003

http://makrokomplex.cz/

Abstract

The content of the project is the creation of an international scientific team, headed by KZVP Dr. Roman Tůma, who deals with the molecular mechanisms of the functioning of large macromolecular complexes. The project is aimed at building a multidisciplinary center that will integrate individual specialized approaches to solve common goals. This multidisciplinary approach will overcome the limitations of individual methods, such as limited temporal and spatial resolution, and provide a complete description of their function at the molecular and atomic level.

Aims

Outputs

• Number of new researchers in supported entities (CO 24): 10
• Number of researchers working in modernized research infrastructures (CO25): 14,6
• Number of newly built, expanded or modernized research infrastructures and centers of excellence (2 4000): 1
• The number of participations of supported research teams in international cooperation programs (2 03 12): 2
• Share of professional publications co-authored by domestic and foreign researchers (2 02 14): 40

Project manager: Mgr. Radka Bunešová 

www

www.regionaldata.online

Abstract

Aims

• proactive support of cross-border cooperation between municipalities opening data, service providers and their users (citizens) in the South Bohemia - Bavaria region, an effort to map the scope of published data and the spectrum of services (applications) that use them and connect key partners in this area into one network,
• education, transfer of know-how to the cross-border region in the form of examples of good practice and the introduction of common standards and procedures leading to the harmonization of data and support for the development of new cross-border digital services for their evaluation,
• mapping of target groups and their needs, which will be processed into the resulting situational analysis, which is one of the main outputs of the project,
• publishing information in the form of an open data set that will contain data from both countries and will become an example of a harmonized data source that can be used across the Czech-Bavarian region,
• creation of prototypes of specific services (applications) that will be created as part of planned technological workshops (hackathlons) and that will use the open data of the region.

Outputs

• the Czech-Bavarian network of open data, the basis of which are the project partners who manage the entire network and organize its implementation and subsequent development. It creates an environment for joint discussion between partners involved in the network together with external experts, which contributes to a better understanding of the cross-border environment of open data, introduces partners to each other with data catalogs and data sets in both countries and strives for education, transfer of know-how to the cross-border region in the form of examples of good practice, the introduction of common standards and procedures and support for the development of new cross-border digital services.
• A situational analysis of the current state of open data in the region, which maps the needs of the involved organizations and the identification of successful projects. It will verify prospective areas of possible cooperation and potential risks and draft measures supporting the development of data-oriented digital services
• A map application through which information about network members and their activities will be published in the form of an open data set and visualization of project outputs.

Projektový manažer: Ing. Andrea Kadlecová

ESF2 (CZ.02.2.69/0.0/0.0/18_056/0013061)
Name: Development of USB – ESF II
Coordinator: Jihočeská univerzita v Českých Budějovicích
Solver: Faculty of Natural Science, Hauer Tomáš
Realization: 01/01/2020 – 31/12/2022
Budget: 22 650 748,96 Kč (projekt): 21 518 211,51 Kč (dotace MŠMT) + 1 132 537,45 Kč (5% spolufinancování JU)
8 330 940,80 Kč (PřF): 7 914 393,76 Kč (dotace MŠMT) + 416 547,04 Kč (5% spolufinancování PřF)
Provider: Ministry of Education, Youth and Sports ČR (MŠMT)
Program: Operational program Research, development and education (OPVVV) 02_18_056

www

Abstract

Key activity 2 of the ESF2 project is focused on the comprehensive restructuring of the bachelor's degree in biology at the Faculty of Science of the JU and improving the quality of educational activities. Based on international experience, the faculty is aware of the need to strengthen the competencies of students in academically focused study programs. A key innovative element that the faculty wants to introduce into teaching is a modular teaching system and research-oriented teaching. Emphasis is placed on strengthening the ability to analyze and synthesize deeper disciplinary knowledge and skills in the given field of education and understanding of interdisciplinary contexts. The subjects will be combined into comprehensive, branch-oriented modules that combine the knowledge and skills of individual profiling expertise. The mentioned concept includes the weakening of frontal teaching and increases the emphasis on practical acquisition of knowledge and creative work of students.

Aims

Outputs

1) Research-oriented teaching: foreign stimuli for the innovation of teaching at PřF JU (non-public)
Working material, inspiration and stimuli for intra-faculty discussion (01/2020 – 02/2021)

2) Teaching subjects in OV Biology, ecology and environmental protection at PřF JU (non-public)
Working material, analytical basis for intra-faculty discussion (02/2020 – 04/2021)

3) Suggestions and recommendations for teaching innovation at PřF JU (non-public)
Working material, concretization of points to be elaborated in the form of a methodology for implementing a new concept of teaching at PřF JU (03/2021 – 08/2021)

4) Module system of teaching at PřF JU (non-public)
Working material, basis for intra-faculty discussion and analysis of the time and space demands of teaching, in its final form part of the Methodology of research-oriented teaching (09/2021 – 06/2022)

5) Methodology of research-oriented teaching at PřF JU (public)
A methodological document setting out the principles of implementing research-oriented teaching at PřF JU, a guide for teachers, guarantors of subjects and study programs, heads of departments and schedulers (04/2022 – 09/2022)

6) Implementation of module teaching in the internal regulations of PřF (public) T
he official document regulating the study rules within the innovative teaching system following the Study and Examination Regulations JU (10/2022 – 12/2022)

Vohnout Rudolf, Department of Informatics
01/01/2020 - 31/12/2022
MŠMT, Research infrastructures

Project manager: Mgr. Radka Bunešová

MAID (BY-CZ 260)
Name: Master's degree in Artificial Intelligence and Data Science
Coordinator: Jihočeská univerzita v Českých Budějovicích
Partners: Technische Hochschule Deggendorf
Solver: Vohnout Rudolf, Department of Informatics
Realization: 01/03/2019 – 28/02/2022
Budget: 937 584,87 EUR (projekt) / 449 984,87 EUR (PřF)
Provider: Bavarian State Ministry of Economics, Energy and Technology
Program: Cross-border cooperation Czech Republic – Free State of Bavaria Aim EÚS 2014 – 2020

www

Abstract

As part of this project, the University of South Bohemia in České Budějovice and the Technical University in Deggendorf are implementing a joint cross-border master's degree program focused on artificial intelligence, data science, big data and data mining. The subject of the project is to prepare accreditation materials, to successfully go through the accreditation process on both the Czech and Bavarian sides, the output of which will be an accredited double joint program ending in a joint diploma. The joint study program consists of a compulsory semester at each of the two universities. The language of instruction is English. At the scientific level, the program is very modern and focuses on cutting-edge topics such as machine learning, autonomous intelligent systems and automatic processing of big data. Together with the two partner universities, regional companies will be involved in the preparation, so that the content of the program meets their needs and interests as future employers of the graduates. The project will contribute to the long-term development of technological industries in the region in a unique and sustainable way.

Aims

• Implementation of the cross-border Master's degree program Applied Informatics with a focus on artificial intelligence and data science
• Compulsory semester abroad at a partner university
• Accredited double joint degree program ending in a joint diploma
• Implementation of modern teaching methods
• Creating a qualification acceptable on both sides of the border
• Increasing the number of graduates for quality jobs
• Increasing the number of women in MINT-studies
• Reducing intercultural and language barriers in the border region
• Connecting schools, universities, companies and students across borders

Outputs

• Processed accreditation materials that successfully pass the accreditation process
• Equipped laboratories to support practical teaching

Aims

The goal of the project is to create a university textbook on the Polar Ecology of Svalbard. Svalbard is an archipelago in the Arctic Ocean, located north of continental Europe. Svalbard is a well-explored part of the world and the most explored area in the Arctic. The goal of the project is to write a polar ecology textbook, which will be focused on the living sciences and will document ecological phenomena, relationships and regularities using examples from Svalbard.

At the same time, the textbook will present university studies at the University of Longyearbyen and at the Faculty of Science, University of South Bohemia in České Budějovice, at the Center for Polar Ecology (CPE). The book will be bilingual, in English and Czech. The authors will be experts from various fields of Arctic studies from both institutions. The book will be available as a PDF on the CPE website for free download.