Eurostat data reveals that the 11% of the total population of the European Union is unable to keep their home adequately warm. Caused by low household income, high energy bills, and low dwelling energy efficiency, energy poverty has traditionally been associated with the inability of households to meet their heating needs during winter. However, up to the 19% of households declared not being comfortably cool in summer. Nine of the 10 warmest years have occurred since 2005, with the last five years comprising the five hottest. Not to mention this 2019 June has been the hottest on record. Climate change is increasing both the severity and frequency of extreme hot weather and heat waves and in dense urban areas, these heatwave episodes will be combined with the Urban Heat Island (UHI) effect, worsening city centres temperatures which will negatively impact human health and wellbeing. Thus, cooling needs and overheating risk need to be incorporated into the energy poverty equation. The project COOLtoRISE aims to reduce summer energy poverty incidence among European households improving their indoor thermal habitability conditions and reducing their energy needs during the hot season, which will decrease their exposure to heat and heat-related health risks. Not all households have an air conditioning system and it is known that energy poor households make a restrictive use of heating and cooling as they cannot afford associated energy bills. However, raising awareness on summer energy poverty and implementing actions to mitigate it will have a double benefit on European households. First, heat exposure of energy poor households will be reduced by increasing indoor thermal conditions, which will decrease in their risk to suffer heat related diseases. Second, raising summer energy culture and preventing air conditioning devices to be installed can have serious benefits on climate change preventing future emissions.

TeleRehaB DSS targets the promotion of AI adoption in everyday clinical practice for balance rehabilitation training. An AI-based decision support system (DSS) will be developed expanding upon the existing Augmented Reality (AR) rehabilitation training platform, with its balance exercises, exergames, cognitive training and remote patient monitoring with wearables and IoT devices from HOLOBALANCE project (TL6), to provide suggestive feedback for experts through the entire clinical rehabilitation pathway. The first component of AI models of TeleRehaB DSS will assess prognostic factors for risk of falls, treatment effectiveness, outcomes and side effects at baseline level, using a high volume of retrospective data for initial training. The other AI pillar of TeleRehaB DSS will introduce automated balance intervention planning and management functionality. The DSS will provide for each patient an optimal set of personalised rehabilitation activities, considering the best clinically effective treatment in conjunction with socio-economic effectiveness, and eHealth literacy. The later will be evaluated with a quick and easy to use tool with simple tasks to assess patient's level of technological awareness (i.e. use of smart devices, AR and IoT equipment), in order to predict if this is going to affect compliance and adherence with interventions that rely on the use of such novel technologies. Finally, the most beneficial use of AI in TeleRehaB DSS will consist of automated remote patient monitoring with wearables and IoT sensing devices, allowing rehabilitation training programs to be performed at home. The DSS will evaluate in real-time patient performance, symptoms occurrence with virtual AR physio's providing corrective and motivational feedback as activities are performed. These performance evaluation measures will be fed back to the DSS to support experts with their most time and effort-consuming activities of day-to-day patient management.

The general goal of the GE Academy project is to develop and implement a coherent and high-quality capacity-building programme on gender equality (GE) in research and innovation (R&I) as well as in Higher Education (HE). GE Academy will develop and provide a series of comprehensive training formats and tailor-made training materials for trainers, practitioners and researchers, making these available to the widest possible audience in Europe and beyond. The GE Academy, with its full capacity-building programme including different training formats (Train-the-Trainers, online trainings and interactive workshops, Summer Schools, webinars, online Distributed Open Collaborative Courses), will be built and executed in at least 15 countries. Through its ambitious setup, the project aims at filling a gap in the current EU research landscape, marked by ongoing gender inequality in research organisations, the gender dimension of R&I being ignored or under-addressed, whereas needs in terms of gender awareness and capacity are recognised, but efforts to remedy the situation are still fragmented. The project will respond to the needs of those who contribute to and are involved in institutional change towards gender equality in R&I as well as in HE. The GE Academy will both tackle issues of gender equality in research institutions and research teams through structural change and address the gender dimension of research contents, following the three main ERA objectives for gender equality in research. At the same time, a pan-European network of gender trainers will be established, trained, coached and upskilled for delivering gender training sessions to R&I and HE communities in Europe and beyond. Throughout the project’s lifetime, attention will be paid to seeking modalities and solutions for ensuring the sustainability of the GE Academy project beyond the EU funding period.

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.