SAFETY is an initiative of 10 partners from 7 European countries (AT, DE, ES, IT, NO, PT, RO) that aims at renovating the educational offer in the field of Emergency Medicine. It will based on the adoption of simulation device, both physical (e.g. mannequin) and virtual patient. Universities and companies developing simulation tools will work together to design a new blended course composed of both theoretical and practical modules. Theoretical module will be delivered as e-learning, while practical module will consist of traditional class during which students will practice with simulation tools. The practical module will be recorded and appended to the e-learning output. Moreover, 2 additional training packages will be developed to address learners when dealing with exceptional situations consisting of situations in which lacks one of the fundamental component of the Emergency team, and when dealing with panicked patient’s relatives.The overall development of the training material will be addressed by relevant psychologist engaged in researches concerning the optimal Emergency team composition. At the end of the project, an Handbook to standardize the procedure to adopt the SAFETY outputs in order to guarantee the project sustainability and result exploitation beyond its lifetime.

A critical mass of Knowledge Workers (KWs) is required to fill the gap between the ever-increasing deficit between demand and offer in the field of Industrial Engineering and Management (IE&M) in Europe. This project aims at providing answers to the highlighted problem by combining organizational methodologies for the production of goods and services and new digital technologies in the implementation of the so-called Industry 4.0 paradigm. The main objective is to design and test innovative courses (both classes and e-learning modules) in IE&M, creating new curricula for university students and industry workforce and eventually contributing to reduce the shortage of KWs in the manufacturing sector. By introducing cutting-edge learning techniques and tools, the project will support the future generation of KWs, as the participants will learn how to face the emerging challenges of the job market, developing hard skills along with an entrepreneurial mindset. The project foresees to foster a new mind-set within IE&M students based on intrapreneurship, meaning a new “employee culture” marked by higher degrees of autonomy and responsibility for the sake of the hiring firms and the entire sector. Specific project objectives are:• To identify education and training convergences and divergences between IE&M courses, along with the training needs required by companies to IE&M students and collect these results in a Body of Knowledge (BoK), conceived as both theoretical framework and technical specifications for redesigning IE&M courses in HEIs. • To align knowledge, skills and competences with contents, learning–teaching methods and assessment of the educational activities offered by the different project partners to the BoK• To develop and test a 4 pilot IE&M courses based on the findings of the BoK• To develop and test 4 e-learning modules based on the revised courses• To reshape a whole IE&M Master Program building on the experience developed in the project

The project aims at filling the gap between scientific research on Artificial Intelligence (AI) and Machine Learning (ML) and its industrial application as enabling technology for the I4.0 paradigm. AI and ML improve the data acquisition and analysis typical of the I4.0, leading to the optimization of the industrial processes through fast and well-performing algorithms. The academic research efforts on AI have followed a trend of development of complex algorithms that require cloud-centric architectures while the industrial architectures for data acquisition are in most cases fragmented and resource-constrained. Recent researches have demonstrated the need of a decentralized use of AI and ML where algorithms for data acquisition and analysis are executed directly on the machine side. It is evident that a new generation of AI and ML experts, able to adapt these technologies to the industrial needs and to foster their role as the key players of the 4th industrial revolution, is needed. PLANET4 enables a knowledge transfer between academia and industry by achieving the following objectives: a) design of a b-learning course for the porting and integration of AI techniques in I4.0 applications;b) evaluation of a novel method for the description of industrial digitalization needs and pains aimed at enabling fast identification of the most appropriate AI methodologies; c) formalization of a framework of soft skills and related training materials for 4.0 Innovation and Change Management training workshops;d) development of a portal for the collection and sharing of best practices in the applications.The project approach is cross-disciplinary and focuses on both hard skills in AI and ML technologies and soft competencies needed to manage the changes introduced in the industrial ecosystem. Academics will have the possibility to gather needs and requirements from the industrial world, allowing the adaptation of ML teaching to better fit the real-world industrial pains.

eTOMATO is an initiative of 10 partners from 4 European countries (BE, BU, IT, ES) aimed at creating an educational offer for easing the uptake of new business practices respecting the Multifuntional Agriculture (MA) framework, particularly in the domains of Social and Didactic Agriculture, Rural Tourism and Short Food Supply Chains. MA is the approach for diversifying agricultural business through the application of Lean Resources Management practices to promote the Rural Development. The MA outputs generate the so-called the Triple Bottom Line results (Environmental, Social, Economics), carrying benefits to as many stakeholders as possible.eTOMATO intends to systematise approaches for bringing key skills to University students, traditional farmers and new entrants, turning them into MA practitioners. The project sustains the collaboration of partner Universities expertise in the domains of MA and Farmers already adopting successful business models inspired by MA to create educational pathsways aimed at reducing key skills fragmentation, overcoming the detachment between theoretical training (learned at the University) and practical experience (acquired on the field). It will develop a path composed of three steps: i) classes (entrepreneurial skills), ii) e-learning modules (MA knowledge) and iii) work-based experience (transnational/national level). Along with training materials, innovative tools will be developed: Firstly, an MA Readiness Framework, aimed at assessing the internal resources of traditional farms and benchmarking them against the key resources required to implement MA farm within the three MA domains and secondly, a Business Model Canvas, aimed at designing successful and resilient MA businesses. For supporting the students and the traditional farmers in developing MA initiatives the Universities will build-up a MA Help Desk (piloted during a Business Model competition) and maintened beyond the lifetime of the project.

IPR4SC - Developing Skills in Intellectual Property Rights Open Data for Sustainability and Circularity targets the lack of intellectual property informatics and management skills, i.e. ‘IP for business’ skills, that are enriched with green, digital and entrepreneurial skills. Their lack can present a barrier to successfully engage in the new (digitally enabled) transitions towards more sustainability and circularity, whilst achieving economic growth. The general aim of the project is to increase the innovation capacity of EU inventors, trained in HE and VET organizations, in designing and implementing sustainable and circular economy businesses by boosting IP for business skills. IPR4SC is focused, but not limited, on the following target groups: HEIs, where the focus is on technology transfer offices, spin-outs, and students from technical, natural and business sciences; VETs and their learners, as well as SMEs, especially start-ups. Other stakeholders, such as patent offices, IP lawyers, large companies and policymakers will also be involved.The project will develop educational offerings to be delivered by the HEI and VET providers that are adapted to the various target groups, include the use of open resources, and support putting IP for business into practice. The partners will deliver a detailed IP for business skills needs analysis, develop an IT tool (IPR Monitor) as a navigation (decision tree-based) online tool, design and deliver the I2P for Green course and modules (IP for green skills), the Simulation lab (IP for digital skills), and the innovative format of an IP Co-design Jam (strengthening entrepreneurial skills). The project is co-developed and co-delivered by a partnership of 4 universities, 2 technology & innovation providers, 2 VET providers, and 2 partners supporting the partnership, providing professional services in project management and dissemination. Associated partners are involved, including patent offices, and other organisations.