Eldicare 2.0, as the continuation of the Project Eldicare: Matching Skills in a growing European Silver Economy, aims to strengthen the cooperation among sectoral partners on elderly care and educational providers in healthcare, as well as to update the occupational profiles and competencies of professionals in the elderly caregiving sector, by providing a sectoral skills long-term strategy that will tackle skills gaps on the labor market and anticipate future skills. In parallel, its specific objectives include the a) up/reskilling of the elderly care professionals, b) upgrade the existing and emerging Occupational Profiles with up-to-date and essential skills for the elderly care practitioners, c) establishment of a joint methodology for addressing future skills needs, d) enhancement of the quality and the attractiveness of training in the health care sector at a European, National, Regional and Local Level. In order to achieve these objectives, the following activities will be implemented:-Definition of a forward-looking Upskilling and Reskilling Strategy for the elderly care sector-Development of a set of up-to-date Occupational Skills Profiles for elderly care practitioners-Design of modular competence-based training curricula for the reskilling and upskilling of elderly care practitioners based on the new Occupational Profiles-Pilot delivery of Trainings-Offering hands-on solutions to generate long-term impact and sustainability in the elderly care sectorIn the consortium, we are going to involve Educational Providers of Healthcare Trainings (VET & HEI), Market Representatives (elderly care nursing homes, EU Associations) and Partners that provide specific expertise. We are going to train 850 learners, while 60 mobility flows will be implemented. Inter alia, the following results are expected: Blueprint Report on the future Elderly Care Providers, 6 Competence Based Curricula, Policy Recommendations, updated Occupational Profiles in caregiving sector.

The European Commission’s policy framework (i.e., Clean Energy Package, FiT 55) seeks to decarbonise the energy system, encouraging the electrification of heat and transport, as well as the connection of more clean but intermittent generation. Electricity markets and smart grid digitalization should proceed very fast to enable the fulfillment of these targets, incentivizing energy consumers and maximizing the use of assets from different energy consumption sectors (i.e., electricity, water, heating, cooling, mobility) in order to fully exploit the flexibility services. ENFLATE project will build upon existing solutions on data drivel energy services and non-energy services, and replicate them in different geographies, climate and consumer needs. It will propose applicable consumer-centered flexibility platforms and test them in Bulgaria, Greece, Spain, Sweden and Switzerland engaging local consumers, TSOs, DSOs, market operators, regulatory authorities, service providers, manufacturers, academia. It will provide smart grid innovative technologies, peer-to-peer market platforms for consumers, smart building and local community cross vector flexibility services, integration of consumer centered flexibility with pan European spot markets. Efficient business models will be developed and tested, combing energy services with health and mobility services. The developed ENFLATE project will be interoperable with existing data platforms in Horizon 2020, like ONENET, CoordiNET, SmartNet and INTERRFACE, leveraging the benefits of data exchange and adaptive middleware architectures. ENFLATE will evaluate the impact of the proposed multi-vector flexibility services to local, regional and pan European level.

DIOPTRA aims to introduce a front-line screening tool that will consider risk factors and protein biomarkers for pinpointing individuals at a high risk for colorectal cancer (CRC) incidence. Tissue & blood samples will be examined towards a discriminative set of prognostic proteins that are detectable via standard bloodwork and can indicate a need for further evaluation (i.e. colonoscopy). Other data (e.g. medical, behavioural) will also be considered as potential risk factors. Artificial intelligence (AI) will be leveraged for assessing prognostic power, while personalised behavioural change will be promoted based on modifiable risk factors. Given the low citizen participation on CRC screening across EU, DIOPTRA seeks to broaden the evaluated population, boosting participation rates and bypassing age screening thresholds. This action is part of the Cancer Mission cluster of projects on ‘Prevention, including Screening’.

During the last decades, overweight & obesity rates have reached epidemic proportions across EU. Prevalence in childhood is particularly alarming, resulting in psychological impacts & increased risks for NCDs. However, although obesity-related research has provided interesting results, several issues arise due to the lack of meta-reviews & the nature of data collected. To address this, Bio-Streams aims on supporting the optimal use (and re-use) of health data (e.g. biological, demographic, epigenetic, etc.) to generate metadata/knowledge and provide new evidences, methodologies & tools for: a) creating and deploying the Bio-Streams Biobank that will act as a scientific platform for research in obesity and better diagnostic and therapeutic approaches;b) understanding the transition from metabolically healthy to unhealthy, preventing under age obesity; c) designing better strategies to educate & empower young citizens for weight self-management; d) coordinating authorities & policy makers to develop cross-sectoral solutions for health promotion & under age obesity prevention. Specifically, Bio-Streams delivers a dedicated under age obesity biobank providing real-world health data (including biospecimens, anthropometrics, behavioural and cost data) from retrospective and prospective sources, while taking into account efficient data harmonisation and standardisation principles, transforming data valorisation towards under age obesity prevention and future research. Moreover, the Bio-Streams framework for data handling, provides robust and transparent methodologies for operational procedures (data infrastructures), analysis and reporting (via meta-reviews and AI-based Apps/components, evaluated via 12 multi-site pilots (7 clinical and 5 schools)), citizen awareness and lifestyle alteration, delivering obesity prevention guidelines, knowledge generation while fostering considerable opportunities for regional and national health authorities/policymakers.