Organization and Delivery of I_CAN Training Program Sessions No. 1–2 in Rivne

Consultancy Services for Development of Model Programs for Professionally Oriented Specialised Secondary Education

Consultancy Services for Establishment and Operationalisation of Supervisory Boards in Vocational Education Institutions

Content Development Project Manager 3 (upper secondary school, content for educational domains)

Procurement of Backup Power Systems for MoES

Expected Outcome: Project should contribute to all of the following expected outcomes: Research funders, policymakers and research communities in the social sciences and humanities (SSH) are provided with a multi-annual R&I programme on social transformations and resilience, responding to megatrends like climate change and biodiversity loss, digitalisation, demographic changes and unexpected shocks. Research investments on social protection and essential services, future of work, education and skills, and a fair transition to climate neutrality are increased. Stakeholders, including social partners and civil society, and policymakers are provided with evidence-based knowledge, tools and innovative solutions, which contribute to new policies and strategies for strengthening resilience, fairness, inclusiveness and social cohesion at European, national and regional level. Scope: Europe is undergoing critical social transformations driven by macro drivers of change, such as climate change, biodiversity loss, digitalisation and demographic change, which have been accelerated by events, such as the COVID-19 pandemic and Russia’s war of aggression against Ukraine. These transformations…

Expected Outcome: Project results are expected to contribute to all the following expected outcomes: Availability and integration of advanced, trustworthy, energy-efficient perception systems, exploiting technological advancements of Generative AI (GenAI) to enhance situational awareness and support safe decision-making; Enhanced Vulnerable Road User (VRU) safety, based on elevated, more temper-proof perception and understanding of their behaviour and intention predictions; Enhanced robustness of CCAM systems - both on-board and on the infrastructure side - in critical situations due to their training, virtual testing and validation in scenarios generated by GenAI, complementing existing scenario databases for the testing and validation of CCAM systems; Enhanced understanding of the relevance and limitations of using GenAI for CCAM; Tools and harmonised approaches for the use of GenAI in mobility technology development, training and validation, as well as for systemic applications such as traffic management and remote control, integrating them into existing approaches. Scope: Pilots and demonstrations using Level 3 and 4 vehicle services face major challenges in perception and…

Annual email marketing platform subscription for the CARMC Project