DESIRA will develop the concept of Socio-Cyber-Physical Systems to advance understanding of the impact of digitisation in rural areas, linking analysis directly to the United Nation’s Sustainable Development Goals. Operationalising the Responsible Research and Innovation approach, DESIRA will enrol agriculture, forestry and rural stakeholders in co-developing scenarios and policies in Living Labs established in 20 European Regions, and a Rural Digitization Forum gathering 250 stakeholders from all Europe. A Virtual Research Environment tailored to the purposes of the project will connect all participants and allow to increase substantially the interaction within the network. DESIRA will provide a Taxonomy and Inventory of Digital Game changers which will be implemented into an online Visualization Tool, a Set of Socio-Economic Impact Indicators aligned to the Sustainability Development Goals implemented into an online Socio-Economic Impact Tool, a Pan-European Assessment of digitization in European rural regions, a Needs, Expectations and Impact appraisal report, a Comparative Scenario Report based on scenario development activities of Living Labs and the Rural Digitization Forum, a Policy analysis and Roadmap, an Ethical Code to be adopted by researchers and innovators and recommended by policy bodies, five Use Cases that will report a further analysis – co-created by Living Labs with the support of ICT specialists - of the most promising solutions identified by Living Labs, Showcase Technologies - including a Virtual Farm Platform - that will create a selection of proof of concepts suggested by Use Cases. A detailed, multi-media dissemination, engagement and communication strategy will accompany the project from the beginning, looking at research as a multifunctional (research, engagement and communication) process and at the same time involving communication specialists in the development of adequate messages and in the choice of the most effective media.

SMEs and public sector organizations increasingly investigate the possibilities to use cloud computing services in their everyday business conduct. Accessing services and resources in the cloud on-demand and in a flexible and elastic way could result in significant cost savings due to more efficient and convenient resource utilization that also replaces large investment costs with long term operational costs. On the other hand, the take up of cloud computing by SMEs and the public sector is still relatively low due to limited application-level flexibility and also security concerns. The Cloud Orchestration at the Level of Application (COLA) project aims to increase the adoption of cloud computing services by the above mentioned two strategic target communities. Typical industry and public sector applications require resource scalability and efficient resource utilization in order to serve a variable number of customers with dynamic resource demands, and to suitably optimize resource consumption and costs. However, the dynamic and intelligent utilization of cloud infrastructure resources from the perspective of cloud applications is not trivial. Although there have been several efforts to support the intelligent and coordinated deployment, and to a smaller extent also the run-time orchestration of cloud applications, no comprehensive solution has emerged until now that could be applied in large scale near operational level industry trials. The overall objective of the COLA project is that by building on and extending current research results, it will define and provide a reference implementation of a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications. COLA will demonstrate the applicability and impact of the solution via large scale near operational level SME and public sector pilots and demonstrators, and will also define a clear pathway how the innovation can be delivered to the market.

ABRACADABRA is based on the prior assumption that non-energy-related benefits play a key role in the deep renovation of existing buildings. In particular, ABRA actions will focus on the creation of a substantial increase of the real estate value of the existing buildings through a significant energy and architectural transformation. The central goals of the proposal consist of an important reduction of the pay back time of the interventions, a strengthening of the key investors’ confidence, increasing quality and attractiveness of the existing buildings’ stock and, finally, reaching a concrete market acceleration towards the Nearly Zero Energy Buildings target. The actual investment gap in the deep renovation sector is due to the fact that high investments are required up-front and they are generally characterised by an excessively high degree of risk and long payback times. It is therefore necessary to develop harmonized, concerted and innovative actions to unlock the needed public and private funds, fill the energy efficiency investment gap and ultimately contribute to re-launch the construction market and create new jobs. Therefore, ABRA aims at demonstrating to the key stakeholders and financial investors the attractiveness of a new renovation strategy based on AdoRe, intended as one (or a set of) Assistant Building unit(s) - like aside or façade addictions, rooftop extensions or even an entire new building construction - that adopt the existing buildings (the Assisted Buildings). The creation of these new Assistant Buildings’ Additions integrated with Renewable Energy Sources aims at reducing the initial investment allocated for the deep renovation of the existing building creating an up-grading synergy between old and new. The ABRA strategy results in the implementation of a punctual densification policy that has been proven capable of fostering the investments in deep renovation of the existing built environment throughout Europe

"The project has been developed as a tool to promote entrepreneurship in the agri-food sector of the rural environment, through the integration of digital training of young people, through the learning of business management contents specifically adapted to the agro-food sector of rural areas and the analysis and exchange of good practices.The contribution by the partners and their different nationalities, goes from the analysis of the initiatives at local and regional level, which are normally carried out in collaboration with public entities to facilitate a self-learning ""tailored"" of the user in terms of dedication temporary and accessibility in any geographic location of the rural environment.The objective of this project has been met in order to facilitate a professional qualification to favor entrepreneurship in people who have bet or have an interest in betting on the rural environment to develop their professional activity in the agri-food sector. The target groups of the Rural Agree project have been training centers for the agro-food sector, agricultural, agro-food and forestry associations or local / regional governments, training centers, associations or local / regional development agencies or NGOs, women's associations, cluster and companies, associations of companies of the agro-alimentary sector, workers of the agro-environmental sector, graduates of formative studies of the agro-environmental sector, who need to implement additional knowledge for their professional development, residents in rural areas, with an entrepreneurial vocation, and knowledge of the agro-environmental sector.The actions carried out have been:1) Coordination of the project, conveyed through the Project Management and Communication Plan.2) Development of the Image of the Project and its corporate website (http://ruralagree.eu/), as a single point and accessible from any fixed or mobile device of all training content.3) On-line dissemination developed through a collaborative platform that supports the integration of all training content and stakeholders. This platform will be made available to local development networks, for capitalization until 20224) Development and realization of various training content for free access to business management and that encourage empowerment and entrepreneurship with specific training in various areas of the company. These are:4.a) An Analysis and Report on ""Good Entrepreneurship Practices in the European agri-food sector"", with a specific focus on Italy, Spain, Romania, Greece, Belgium, Hungary and Finland, which define the most important training objectives, and integrating Groups of local and regional actors Link the project to the stakeholders of the agri-food sector.4.b) A Manual ""How to develop your business in the agri-food sector"", which improves these entrepreneurial skills in the agri-food sector. It offers practical advice as well as a training with practical cases in each of the following domains: 1.-Marketing and distribution, 2.-Development and product quality, 3.-Management skills in rural areas 4.-Finance and 5. -Internationalization. Adaptation of the manual to 5 Power Points summary, which are available in 7 languages: English, Spanish, German, Hungarian, Romanian, Greek and Italian.5) Development of a learning or gamification game with a single point of free registered access, which includes the 5 modules of the training content and is available in the 7 languages ​​for adaptation to partner countries.6) Meetings and 4 international meetings, local workshops and interviews with stakeholders of the rural agri-food sector, with which the best local, regional, national and international practices have been analyzed, in entrepreneurship and in the agro-food sector.7) Pilot actions through multiplier testing events of all the products developed in the project.8) Finally, the Dissemination and Capitalization Action Plan as well as the Sustainability Plan in which a brochure, roll up, 4 newsletter and its dissemination through social networks have been prepared: Twitter (@RuralAgree), Facebook ( https://www.facebook.com/Rural-Agree-421869714852184/) events and participation with different stakeholders, etc.All these tasks have been developed by a consortium made up of 7 partners and 7 different nationalities, with broad transversal competences in European project management and with extensive experience in the tasks developed in Rural Agree.The results reached range from 159 different dissemination actions to 174,723 people to 9 events with a direct application of intellectual results in 128 people. Implementation of a training platform for innovative and open learning in the agri-food sector."

Availability of large volumes of user data combined with tailored statistical analysis present a unique opportunity for organizations across the spectrum to adapt and finetune their services according to individual needs. Having shown remarkable results in analyzing user data, machine learning models attracted global adulation and are applied in a plethora of applications including medical diagnostics, pattern recognition, and threat intelligence. However, such service improvements and personalization based on user data analysis come at the heavy cost of privacy loss. Furthermore, practice showed that systems that use such models incorporate proxies that are often inexact, biased and often unfair. In HARPOCRATES, we focus on setting the foundations of digitally blind evaluation systems that will, by design, eliminate proxies such as geography, gender, race, and others and eventually have a tangible impact on building fairer, democratic and unbiased societies. To do so, we plan to design several practical cryptographic schemes (Functional Encryption and Hybrid Homomorphic Encryption) for analyzing data in a privacy-preserving way. Besides processing statistical data in a privacy-preserving way, we also aim to enable a richer, more balanced and comprehensive approach where data analytics and cryptography go hand in hand with a shift towards increased privacy. In HARPOCRATES we will first show how to effectively combine cryptography with the principles of differential privacy to secure and privatise databases. Next, we will build privacy-preserving machine learning models able to classify encrypted data by performing high accuracy predictions directly on ciphertexts across federated data spaces. Finally, to demonstrate how these solutions respond to users’ needs, we will implement two real-world cross-border data sharing scenarios related to health data analysis for sleep medicine and threat intelligence for local authorities.