The OLEUM project will generate innovative, more effective and harmonized analytical solutions to detect and fight the most common and emerging frauds and to verify the overall quality of olive oils (OOs). By a core group of 20 partners from 15 countries OLEUM will undertake RESEARCH ACTIVITIES based on the development of IMPROVED and NEW ANALYTICAL METHODS by targeted and omics approaches with the aim: i) to detect new markers of the soft deodorization process; ii) to discover illegal blends between OOs and other vegetable oils; iii) to control OO quality (e.g. freshness); iv) to improve the organoleptic assessment with a Quantitative Panel Test, based on current official methods, and supported by tailored reference materials for better calibration of the sensory panels coupled with rapid screening tools to facilitate the work of the panelists. The most promising OLEUM solutions will be subjected to VALIDATION in conformity with internationally agreed standards by peer laboratories. OLEUM will recreate a realistic “deodorization scenario” by producing tailored, soft deodorized OOs by lab-scale and up-scaled pilot plants to apply analytical solutions to known samples. Substantial KNOWLEDGE and TECHNOLOGY TRANSFER activities will be envisaged to aid in implementation of: a) a web-based easily-accessible, scalable and constantly updated OLEUM DATABANK, containing all the information from OLEUM research and other reliable international sources, will be available for download data and spectra and to help achieve satisfactory harmonization of analytical approaches among control laboratories; b) the OLEUM NETWORK of relevant OOs stakeholders to maximize the impact of proposed analytical solutions. Finally, a robust dissemination strategy by the OLEUM project aimed at effectively sharing results with all stakeholders in the OO supply chain has the potential to improve consumer and market confidence, and preserve the image of OOs on a global scale.

The main goal of M4F project is to bring together the fusion and fission materials communities working on the prediction of microstructural-induced irradiation damage and deformation mechanisms of irradiated ferritic/martensitic (F/M) steels. M4F project is a multidisciplinary one, were both modeling and experiments at different scales will be integrated to foster the understanding of complex phenomena associated to the formation and evolution of irradiation induced defects and their role on the deformation behavior. In addition, an attempt to reduce the gap between the materials science activities as model and experiments, and the needed inputs on design codes will be included

PRUDENT aspires to change the way agriculture and forestry systems currently operate and to accelerate the transition to sustainable agriculture and forestry practices and smart farming technologies. The project will identify and evaluate the most effective green nudges, in the context of appropriate behavioural and experimental settings, that can enable farmer/forester behavioural change to more sustainable agriculture and forestry. Nudges will be also tested in natural contexts to evaluate the interactive effect of nudges with actual policy changes in the transition to sustainability. Innovative nudging tools, in the form of web/mobile apps, will be employed to boost farmer/forester self-regulatory capacity and enhance the durability of nudging effects. Four different systems, representing major farming and forestry systems in Europe (arable crops [wheat], perennial crops [grapevines, apples, olives], livestock [bovines] and forests [boreal forests]) in various EU regions (Northern, Southern, and Central Europe) will be studied to account for the heterogeneity of farming/forestry systems and contexts in the EU. The behavioural insights are used to develop transformative pathways, via social innovations, business models and policy recommendations, to encourage transition to fair, healthy and environmentally-friendly agriculture and forestry systems. PRUDENT will provide a set of social innovations and business models establishing roadmaps for a shift towards sustainable agriculture and forestry and will develop a series of policy recommendations and tools to foster behaviourally informed policy design and implementation. Throughout the project's lifespan, multiple value chain actors, at various levels of society, will actively participate in co-creation activities to establish a mutual understanding of the benefits and bottlenecks of the value chain, as well as effective transformation pathways to change.