MULTISCALE is a research project that aims at providing a complete and integrated framework for multiscale image analysis and learning with hierarchical representations of complex remote sensing images. While hierarchical representations of RS images has led to an effective and efficient scheme to deal with panchromatic or at most multiband data, their application to complex data is still to be explored. In addition, despite their ability to encode structural and multiscale information, their so far exploitation have not reached beyond a mere superposition of monoscale analysis. In this context, the MULTISCALE project defines new methods for the construction of hierarchical image representations from multivariate, multi-source, multi-resolution and multi-temporal data, and provides some dedicated image analysis and machine learning tools to perform multiscale analysis. The new methodology will be implemented in various toolboxes used by the community to favor the dissemination of the results. Success of the project will be assessed by benchmarking the proposed framework on two remote sensing applications. Substantial breakthroughs over classical methods are expected, both in terms of efficiency and effectiveness.

The TwinBat project plans to make Gebze Technical University (GTU) a center of attraction in the field of battery research in Türkiye, especially in the field of sodium-ion batteries (NIBs), through the joint efforts of the twinning partners. With mutual benefit at the forefront, the lack of capacity innovation in the field of rechargeable batteries in Türkiye will be addressed through three main efforts: Research, Training and Network. This goal will be achieved by building collaboration with prominent European institutions, including CNRS from France- an internationally recognized laboratory (LRCS) focused on rechargeable batteries, HUB from Germany- an excellent research university that delivers top-level achievements in a wide variety of fields in both national and international comparisons, and in collaboration with industry partners of TIA- founded in 2017 for the development and commercialization of NIBs. Indeed, we are witnessing the rapid development of NIBs nowadays. Recently, both the first electric vehicle powered by sodium-ion cells and the commercial application of first-generation (Gen1) sodium-ion cells in a cordless drill were reported. However, despite these wonderful developments in the NIBs field, a new generation of NIB still needs to be developed to reach the energy density of Li-ion batteries- TwinBat target to develop Gen2 NIBs to be closer to Li-ion (LFP) cells. While the research topic is timely and of immediate relevance, emerging economies like Türkiye must augment their capacity and competitiveness to match the EU's technological competence on this domain. Thus, increasing GTU's visibility and research capacity; enhancing the research profile of academics working in NIBs; and improving the proposal development, project management and IPR skills of administrative staff, will be achieved by investing in individuals and research - in this context, TwinBat is a perfect fit.

The GREENDC proposal contribute to greener data centres by developing a decision support tool that help data centre managers predict energy demands better and evaluate strategies to minimize energy waste and minimize CO2 emissions. GREENDC adopt non-linear energy forecasting model and provide a simulation tool based on dynamic simulation model to allow data centre managers conduct what-if analysis considering factors for energy demands and supply. GREENDC is implemented through knowledge exchange between two academic partners and two industrial partners. Academic partners transfer knowledge on non-linear energy demand forecasting and dynamic simulation to industrial partners while industrial partners transfer their knowledge on data centre operations through secondment activities. The outcome of the GREENDC activities are expected to reduce CO2 emissions and energy waste due to non-optimised energy load balancing from large number of data centres across the Europe.

<< Objectives >>LOFT aim to contribute the EU’s policy on harnessing the potential of digital technologies for teaching and learning with digital skills for small scale food producers (LFPs)Specific Objectives;Developing a database to unveil the potential of LFPsFacilitating the digital adaptation of LFPsEstablishing sustainable local food hubs Generating a mobile application where all the previous objectives combineRaising public awareness on local food and related issues (like food safety, security etc.<< Implementation >>WP1: Project Management activities WP2: A specific field study on 3 specific objectives; mapping, identifying needs; collecting good examplesWP3: A modular, practical and adaptable VET methodologyWP4: A network, which will be an organisational innovation hub in the local food sector.WP5: An online application, digital, practical and sustainableWP6 Dissemination: Ensuring the visibility of LOFT by creating expected impactsWP7 QA: Ensuring the quality of LOFT activities and results<< Results >>Identified needs, potentials, legal frameworks; good examples and backgroundEnhanced digital skills and developed competences of LFPs; Improved levels of skills and encouraged new comersCooperation among local food actors; More attraction on local food; More competitive LFPsIncreased level of digital competences, capacity and readiness of LFPs to manage an effective shift towards digital era in agro-food sectorConscious public on food related issues. Visibility to reach more end users

<< Objectives >>Objectives:- improve the mobility of construction personnel within the EU;- contribute to innovation in vocational education and training through the use of innovative manuals;- increase multi-cultural exchange of best practices and knowledge between Partners countries and later – at UE level,- increase recognition of legal regulations, relevant to managerial subjects presented in manuals, at EU level and in Partners countries,- facilitate proper recognition and transparency of man. skills<< Implementation >>Project management activities, including planning and progress monitoring, financial administration, coordination and communication, dissemination, quality control, impact analysis, sustainability and exploitation activities, risk management.Development of manuals, including preparation of draft and final versions of manuals (after testing and evaluation with target groups).Series of national and international meetings, dissemination, and testing events.<< Results >>CLOEMC VI learning outcomes and 6 Manuals on design and execution of facades, digital twin, urban mining, environmental issues, earthquakes, logistics, green technology, talent management, and future competencies of construction managers. All manuals will be based on experience from partner countries, written in 5 languages (more foreseen in the future), and developed by a multinational team.+reports on quality, finances, dissemination & progress, website, presentations, flyers, brochures, etc.