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ITC - INNOVATION TECHNOLOGY CLUSTER MURSKA SOBOTA

ITC - INOVACIJSKO TEHNOLOSKI GROZD MURSKA SOBOTA
Country: Slovenia

ITC - INNOVATION TECHNOLOGY CLUSTER MURSKA SOBOTA

28 Projects, page 1 of 6
  • Funder: European Commission Project Code: 101070416
    Overall Budget: 6,658,970 EURFunder Contribution: 5,507,270 EUR

    GREEN.DAT.AI aims to channel the potential of AI towards the goals of the European Green Deal, by developing novel Energy-Efficient Large-Scale Data Analytics Services, ready-to-use in industrial AI-based systems, while reducing the environmental impact of data management processes. GREEN.DAT.AI will demonstrate the efficiencies of the new analytics services in four industries (Smart Energy, Smart Agriculture/Agri-food, Smart Mobility, Smart Banking) and six different application scenarios, leveraging the use of European Data Spaces. The ambition is to exploit mature (TRL5 or higher) solutions already developed in recent H2020 projects and deliver an efficient, massively distributed, open-source, green, AI/FL - ready platform, and a validated go-to-market TRL7/8 Toolbox for AI-ready Data Spaces. The services will cover AI-enabled data enrichment, Incentive mechanisms for Data Sharing, Synthetic Data Generation, Large-scale learning at the Edge/Fog, Federated & Auto ML at the edge/fog, Explainable AI/Feature Learning with Privacy Preservation, Federated & Automatic Transfer Learning, Adaptive FL for Digital Twin Applications, Automated IoT event-based change detection/forecasting. The GREEN.DAT.AI Consortium consists of a multidisciplinary group of 17 partners from 10 different countries (and one associated party), well balanced in terms of expertise. The vast majority of partners already have key roles in a number of projects funded under the Big Data PPP (ICT-16-2017) topic, namely BigDataStack, CLASS, Track & Know, and I-BiDaaS and are serving as active members of the BDVA/DAIRO Association, FIWARE, AIOTI, and ETSI. In addition, partners come from a variety of sectors, such as banking, mobility, energy, and agriculture, constituting a representative workforce of their respective domains, which will contribute to industry adoption and stimulate uptake in other sectors as well.

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  • Funder: European Commission Project Code: 101059473
    Overall Budget: 9,999,420 EURFunder Contribution: 9,999,420 EUR

    The digital transformation of food systems has entered a twilight zone: data-driven innovations have proven to be promising, but it is still unclear how to upscale adoption and have broader acceptance. The Data4Food2030 project aims to improve the data economy for food systems (DE4FS) by expanding its definition, mapping its development, performance and impact to create new insights and opportunities. This contributes to a more competitive and sustainable food system in the EU and supports implementation and adaptation of relevant policies such as a Digital Single Market, Green Deal and the Common Agricultural Policy. Data4Food2030 is a 4-year project that aims to 1) enlarge the knowledge base and insight into the DE4FS, 2) develop a system that monitors and evaluates the development, performance and impact of the DE4FS on relevant EU policies 3) identify drivers and barriers and turn these into opportunities, recommendations and solutions, 4) test solutions and evaluate recommendations in case studies and through stakeholder dialogues and 5) provide future scenarios and a roadmap and sustain the monitoring system to support policy development and accelerate the desired future state of the DE4FS. Data4Food2030’s approach is targeted at an improved future state of the DE4FS from which clear design principles, recommendations and solutions are derived for improving and adapting policies and practices at public and private level. As an essential part of the project, stakeholders are deeply engaged to provide input to various DE4FS concepts and evaluate several project outcomes to increase the impact of the project. Nine case studies provide real-life examples of the DE4FS at micro- and meso-economic level, deploying data and technologies, which are used for mapping and improvement to promote data-enabled business models. In this way, Data4Food2030 creates credible pathways to navigate properly through the twilight zone towards a fair, inclusive and innovative DE4FS.

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  • Funder: European Commission Project Code: 2018-2-RS01-KA205-000460
    Funder Contribution: 29,690 EUR

    Project Youth Empowerment and Entrepreneurial Revolution developed training module and curriculum for the young people from NEET group taking in consideration their needs, current skills and key competences needed for self-employment.Each partner invested their knowledge and networks in order to get best results and develop tailored-made training program best suitable for NEET group. Communication platform was opened allowing partners to share research and ideas regarding young people from NEET group. It was concluded that NEET is not recognised by the state institutions in any of the participating countries and as a result there was no valid and detailed data on the exact number and characterises of this group.Participants for testing of training were selected from Carrier Center Strong Youngsters NEET youth based on their motivation to become entrepreneurs 26 of them participated in testing. Their evaluation proved that the training curriculum is according to their needs and that support of Mentors is necessary. SOS CV has mentorship program and the mentors were engaged to help youth further develop their entrepreneurial ideas. Conferences in 3 partner countries were delivered and all relevant stake holders were invited by mail and phone, meetings were done with institutions in order to motivate them to participate. Stakeholders from state institutions didn’t show on conferences but stakeholders from other youth programmes did, for example E2E (From Education to Employability – Youth Skills Development and Public Private Partnership in Serbia).Long term benefit for NEET young people is developed training and raised awareness of their needs in general.

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  • Funder: European Commission Project Code: 101181941
    Overall Budget: 5,332,980 EURFunder Contribution: 4,985,110 EUR

    The European tourism sector plays a pivotal role in driving economic growth, employment, and social development. However, it faces challenges deriving from its predominant reliance on linear models, causing significant environmental impacts and resource depletion. Recognizing the necessity for a paradigm shift, the VERNE project aspires to accelerate the transition of local and regional tourist destinations toward sustainable and circular models across Europe. VERNE aims to provide an integrated framework for analysing the feasibility and impact of circular interventions in tourism destinations, offering recommendations for authorities, tourism industries, and citizens for the sector's transition into more sustainable business models. In collaboration with public administrations, DMOs, private sector services, industries, citizens and tourists, NGOs, and other stakeholders, VERNE will create and validate a range of systemic, replicable, and scalable solutions, tailored on the real needs and attitudes of these actors. These solutions will encompass diverse approaches and technologies (i.e., digital solutions, improved waste and food waste management, wastewater treatment, use of electric vehicles, etc.) and will cover several sector and services for tourism . The VERNE solutions will be implemented and demonstrated in 5 European representative tourist destinations (VERNE Pilots). The project's outcomes will be incorporated into new business models, providing a quantified demonstration of their effects on the competitiveness and sustainability of existing tourism services. Finally, VERNE will have the ambition to emerge as one-stop-shop for sustainable tourism, serving as a comprehensive hub of expertise, tools, and best practices on sustainable tourism, facilitating the adoption and replication of circular systemic solutions across Europe.

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  • Funder: European Commission Project Code: 101181532
    Overall Budget: 5,250,530 EURFunder Contribution: 4,999,760 EUR

    ROTATES aims to sustainably enhance agrobiodiversity and ecosystem services by introducing and promoting minor starchy root and tuber crops (MRT) sweet potato, yams, cassava and taro, considered minor crops and currently underutilized in Europe, in both conventional and organic farming systems. These crops have substantial growth potential in temperate regions to meet the increasing demand in Europe, which has tripled over the last decade. The inclusion of MRT crops will complement the cohort of minor crops introduced into European agrosystems by the previously funded projects. Employing a multidisciplinary and multi-actor approach, ROTATES will (i) identify levers for MRT crop adoption along the value chain, through a comprehensive diagnosis of constraints and opportunities for MRT crop adoption, agronomic practices to inform farm typology analysis, genetic material assessment, and disease pressure evaluation, (ii) deploy MRT crops by developing agroecological management practices, including crop rotation and intercropping, to leverage the benefits on provisioning and regulating ecosystem services, establishing breeding hubs to deliver varieties adapted to the agroecological systems, and creating a clean seed system relying on a policy framework for phytosanitary certification to support sustainable production and material exchange, (iii) unlock the value of MRT crops by establishing sustainable and innovative healthy and traditional food and feed transformation processes, integrating livestock to recycle unused plant by-products and provide crop amendments - gluten-low-to-free pasta, bread, and plant-based ice cream and feed for ruminants and monogastrics- (iv) promote adoption along the value chain, targeting primarily farmers and growers, through marketing avenues and capacity-building efforts. ROTATES will contribute to improving producers’ income, enhancing product value, increasing agrobiodiversity, and reducing Europe's import dependence.

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