The project idea is focusing on AI-augmented automation supporting modeling, coding, testing, and monitoring as part of a continuous development in Cyber-Physical Systems (CPSs). The growing complexity of CPS poses several challenges throughout all software development and analysis phases, but also during their usage and maintenance. Many leading companies have started envisaging the automation of tomorrow to be brought about by Artificial Intelligence (AI) tech. While the number of companies that invest significant resources in software development is constantly increasing, the use of AI in the development and design techniques is still immature. The project targets the development of a model-based framework to support teams during the automated continuous development of CPSs by means of integrated AI-augmented solutions. The overall AIDOaRT infrastructure will work with existing data sources, including traditional IT monitoring, log events, along with software models and measurements. The infrastructure is intended to operate within the DevOps process combining software development and information technology (IT) operations. Moreover, AI technological innovations have to ensure that systems are designed responsibly and contribute to our trust in their behaviour (i.e., requiring both accountability and explainability). AIDOaRT aims to impact organizations where continuous deployment and operations management are standard operating procedures. DevOps teams may use the AIDOaRT framework to analyze event streams in real-time and historical data, extract meaningful insights from events for continuous improvement, drive faster deployments and better collaboration, and reduce downtime with proactive detection.

Geometric modelling, image processing, and shape reconstruction have huge applications in various sectors and greatly impact on EU’s economy, human health, security, entertainment and others. Existing problems such as big data and heavy manual operations in geometric modelling, incapacity in image processing in continuous domains, and lack of continuity and differentiability in shape reconstruction seriously affect quality, efficiency and capacity. Partial differential equation (PDE) based techniques provide effective solutions to these problems. Current PDE-based modelling cannot achieve both powerful capacity and high computational performance. PDE-based image processing suffers from expensive cost and local minimization. PDE-based shape reconstruction has not been developed. PDE-GIR will tackle above mentioned problems by developing advanced PDE based techniques, exploiting their applications through exchanges of research and innovation staff, international and intersectoral collaborations, and knowledge transfer. It consists of four work packages. “PaMod” will develop new PDE-based modelling techniques to obtain powerful capacity and high computational performance. “VaMod” will develop new variational models to improve efficiency and quality. “ShaRecons” will combine new PDE-based modelling with variational models to solve the problems of continuity, differentiability, and big data. “M&D” is designed to efficiently manage the project, disseminate research output, and promote the applications of the developed techniques. The consortium consists of leading experts who have been working at the forefront of geometric modelling, image processing and shape reconstruction for many years. PDE-GIR will combine their strengths to achieve the success of the proposed research. The developed techniques will be applied in academic and non-academic sectors, and integrated into IDF’s services and products to promote technology innovation and realize their commercial value.

Progress in early warning to tackle the threat posed by increasing coastal hazards is uneven across Asia, with some high-risk, low-capacity countries falling behind. Many countries are calling for regional multi-hazard early warning (MHEW) systems as an effective means of sharing scientific knowledge and applications, sharing costs and addressing trans-boundary disasters.CABARET aimed to promote international cooperation at the regional level, between Higher Education Institutes (HEIs) in Asia and Europe, and among Asian HEIs themselves, to improve MHEW and increase resilience among coastal communities. CABARET brought together a partnership of fifteen HEIs from ten countries in Europe and Asia, in cooperation with the IOC-UNESCO Indian Ocean Tsunami Warning System (IOTWMS) and the Asian Disaster Preparedness Center. Five selected partner countries in Asia – Indonesia, Maldives, Myanmar, Philippines and Sri Lanka – were the target for capacity building and included communities that are highly exposed and vulnerable to the threat posed by multiple coastal hazards. CABARET has achieved the goals by: Identifying intra and inter regional cooperation capacity needs across partner country HEIs for the development of more effective MHEW; Creating an innovation hub for resilient coastal communities, promoting scientific cooperation and knowledge transfer in Higher Education within Asia, and between Asia and Europe on MHEW; Developing a capacity building roadmap to address regional gaps and priorities; Exploring, promoting and initiating opportunities for fruitful university partnerships with socio-economic actors in coastal communities; Developing innovative multi-disciplinary training courses tailored for rapid skill (knowledge, qualifications,) acquisition for professional teams involved in multi-hazard early warning at the national and regional level; Publicising the capacity building progress, successes and outcomes as far as possible, and raising awareness across the field of HE about capacity building for MHEW and increased disaster resilience in coastal communities.Collectively, the partnership:•Organised 6 international meetings and four multi-disciplinary, capacity building workshops involving 319 participants•Supported a regional survey of tsunami capacity among twenty countries, in cooperation with the IOC-UNESCO IOTWMS•Published five national position papers and a regional position paper on MHEW preparedness•Published over fifty multi-institution, international and multi-disciplinary research papers on tsunami and multi-hazard early warning, and coastal resilience•Facilitated seven EU-ASIA and ASIA-ASIA exchanges involving thirty-five people from HEIs•Formed seven special interest groups that facilitated fourteen capacity building activities and provided a platform for further cooperation •Held a mentoring programme for early career researchers and developed six open educational resources on multi-hazard early warning•Organised special sessions on tsunami and multi-hazard early warning in six international conferences and events•Secured four externally funded spin-off projects and submitted numerous research proposalsThese activities have changed the understanding, awareness and attitudes among national and subnational actors on the critical areas of capacity for effective end to end tsunami early warning. CABARET has helped to enhance regional and trans-boundary cooperation for MHEW, and empower individuals and organisations with the skills, competencies and credentials needed to promote and sustain regional cooperation within Asia and Europe, and within Asia itself, aimed at reducing the likelihood and impact of disasters in coastal communities.

The main project objective is to develop relevant and high – quality competences of early staged researchers – Ph.D. students, students of master´s and bachelor´s degrees and also other adults, employees, entrepreneurs etc. The main project objective will be achieved by development of a course focused on preparation and management of innovation (research and development, educational) projects. Project management skills and competences have been more and more required by the employers in almost all sectors of economy, science, technology and services. Their role is essential in nearly every industry.Demand for project managers is high across industries. Job growth is anticipated to be faster than any other occupation, with 22 million new job openings around the world by 2027, according to the Project Management Institute. Education of future project managers, however, is not comprehensive and does not meet the requirements of the labour market or scientific research environment. The project responds to the growing need for professionals able to effectively manage innovations both at universities/research centres and in companies. The course to be developed will place emphasis on the linking methods of project management with technical-economic-managerial aspects. Graduates will acquire all the know-how necessary for the practical activities in the management of innovation. The course will include practical tasks, providing instructions for the solution of specific problems of practice. Graduates will be able to use the acquired skills and competences both in enterprises (industry, services) and at universities (R&D sectors). This will increase the employability of the students on the labour market, attract young people to innovations and support the utilization of R&D results in economies at the same time. The main target groups are university students, early stage researchers (Ph.D. students), university teachers and trainers in companies. Project participants reflect the target groups. University teachers and trainers (up to 5 participants/partner country) will take part in the joint staff training/course for lecturers on how to effectively use the methods and tools developed within the project for practical education and training. The Course and its materials and methodology (O1) collected and developed within the project will be presented to target groups, tested during the workshops in partner countries (30 participants/partner country) and thereafter evaluated by experts. All target groups (35 participants) will attend the international Final conference in Ostrava.Results (project output): Innovation project management course-Kit of educational materials to be used separately or as a course (PDF materials, text files, presentations, case studies, etc.)-Moodle Course (e-learning, Open Access) Content of the course: Content of the course is based on PMBOK methodology and follows the same areas: Integration management, Scope management, Time management, Cost Management, Quality Management, HR Management, Communication, Risk Management and Procurement Management. The above mentioned areas will be supported by Introduction to Innovations and Project English - terminology lessons. Implementation phases and activities of the project:1.Development of educational materials, development of Moodle Course (e-learning)2.Short-term joint staff training - exchange of good practices, training of teachers on Innovation project management course3.Workshops in partner countries - trial course, getting feedback from the participants and lecturers, evaluation of the first version of the course 4.Course upgrade (based on the feedback and evaluation), development of final version of the course materials and Moodle course5.Dissemination activities - final conference, presentation of the Course at public events, articles, conferences, etc.