"Project ""Technology education in the digital era supported by the significant use of research results"" is an actual response for an insufficient use of research results, which are produced by higher education institutions, in teaching processes. Project is mainly focused on technology education in the area of mechanical engineering and construction/civil engineering and it enables international and interdisciplinary work. Nonetheless there in no restrictions on extension to the other range of disciplines. Program is also focused on different forms of training in which academics will participate in order to improve their competences regarding preparation of courses. They are planned to support the abovementioned use of research results in teaching contents. There is still a long way to widely employ research results in education, especially for international purposes. In addition, the dissemination of research results in education carried out by cooperation of universities and companies has not yet been thoroughly studied before. Therefore the strategic partnership of four higher education institutions (universities) and one company is formed in order to improve existing methodologies of each partner and work out an innovative teaching approaches including international collaboration in the area of teaching. Partners have decided to implement the results in two main disciplines such as mechanical engineering and civil engineering. Notwithstanding, dissemination of results and their further applications can be also concerned with other disciplines. The beneficiaries of proposed project are mainly master/doctoral students and academics involved in teaching process on that levels. Within the project partners would like to develop the following detailed outputs: 1. Guide for educators regarding the utilization of research results in technology education.Aspects of educational technologies in elaborating of educational processes seems to be fairly essential. Consequently, one of the main goal is to originally propose a complete and comprehensive guide for educators respecting the results obtained in analysed brand of science (e.g., mechanical engineering). At this stage of performance the comparative and qualitative analysis of existing practices, literature and student/teacher opinions might be quite crucial. One of the main feature of guidelines should be their general purpose.2. Development of the digital platform methodologies for utilization of research results in technology education.At this stage of work an existing digital platforms and possibilities of their adoptions for utilization of research results in technology educations are carefully studied. Furthermore, development and testing of a set of tools (e.g., templates, procedures, algorithms) of research results in digital platform is a significant factor of undertaken activities.3. Development of pilot lectures using EDURES methodologies.In output 3 the new lecture will be developed to support technology education in partner universities and share their knowledge and useful practices. The lectures will contain completely new data and teaching materials will be presented. The series of eight brand new lectures are planned to be initiated that will indicate how the teaching content (especially utilizing research results) should correctly defined.4. Digital platform with implemented EDURES teaching content.In this stage of work the results from three previous intellectual outputs will be implemented into the existing platforms and their efficiency among target groups of students and teachers will be tested. The unique (brand new) educational platform utilising research outcomes into technology education will be formulated..5. Report on the development of the set of tools and procedures for EDURES feedback and methods of continuous improvement.In this issue the potential collective advancements of the developed tools to utilize research results in technology education will be confidently expected. Feedback of the students towards the teachers along with feedback to those who applied and handle with digital platform will be urgently required. Constructive and valuable feedback are keenly awaited from other institutions. Moreover, strictly defined methods to make received data useful for improvements of the EDURES platform will be also one of the objective in the work undertaken. Likewise application of the feedback results into developed platform will be meticulously implemented. In the last stage of conceived venture the procedures developed for sustain and extend our work into the future are significantly found."

Mass-casualty incidents with injured persons caused by human-made or by natural disasters are increasing globally. In such situations, medical first responders (MFR) need to perform basic life support and first aid to help stabilize victims until arrival of further support. Proper evaluation of situations, checking and monitoring the vital states, and choosing the most appropriate strategy for proceeding with treatments are challenges. However, current training abilities for such scenarios are limited. The MED1stMR consortium has identified Mixed Reality (MR) training as opportunity to better train and prepare MFRs for disasters. Thus, MED1stMR will develop a new generation of MR training providing haptic feedback through the integration of high-fidelity patient simulation manikins into MR. Thereby, MED1stMR offers a much richer sensory experience bringing MR training closer to reality. To enhance the effectiveness of MR training a physiological signal and trainee behavior feedback loop will be integrated for scenario control. In this respect, wearable technologies with body sensors will be developed allowing to monitor states and behaviour of MFR during training. Together with a model for effective performance in medical emergencies (EPME) this data will enable adapting training to trainee needs, manually or by artificial intelligence driven smart scenarios. Partnering MFR will be included in the project developments by an Agile End User Centred Research Methodology. To this end, MED1stMR will pursue the following pioneering objectives: a) Developing a pioneering MR training approach for enhanced realism, b) Developing effective training scenarios and a training curriculum through user-centred design with cross-sectoral MFR, c) Realisation of a physiological signal and trainee behaviour feedback loop and EPME model for smart scenario control thereby enhancing effectiveness of MR training and d) To position the pioneering MR training approach across Europe

Background: Health consumes ~10% of GDP in the OECD, and grows an unsustainable 7-11% per year, and is ~1% of GDP for intensive care alone, driven by chronic diseases and aging populations. Limited funding leads to an ‘equity gap’ in health funding, where more people go untreated, less treated (rationing), and/or rely on private insurance and care, creating and exacerbating inequality. Problem: This labor intensive sector has not made productivity gains, and increasing demographic demand for intensive care is multiplied by a growing need for personalized, precision solutions to care. Challenge: Reverse this trend by linking engineering, medicine, and industry to improve the quality, precision and productivity of intensive care, and create a template for other areas of care. Objectives: Use model-based methods and novel system identification technologies to create validated virtual patient models for use in personalizing care to enhance its quality and productivity. Proposed Solution: Tight collaboration between engineering research, clinical medicine, and industry to create, validate, and implement precision, intensive care medicine (DCPM) using in-silico virtual patients. The proposal authors are world-leaders in creating highly validated virtual patients, and translating them to clinical use to provide precision, next-generation productive, intensive care solutions. It will merge model-based methods in metabolic, cardiovascular and pulmonary systems – 3 leading causes of intensive care admission, mortality and cost - to create individual (and then combined) virtual intensive care patients to personalize care at the bedside. The consortia leverages significant research funding in 3rd country partners for model-based medical solutions. This proposed mobility optimizes this research for maximum social and economic impact in the EU and NZ – Doing medicine better via inter-disciplinary, in-silico solutions to productivity in intensive care.

The impact of gender diversity on research productivity, quality and innovation is very unevenly evidenced. Incremental insights from gender studies, team science and research evaluation exercises do not transcend these separate areas and are therefore of restricted analytical value. This can be seen, for example, in the understanding of 'gender' as simply concerned with the numerical representation of the two sexes in most quantitative analyses. This not only factors out the gendered hierarchies and social processes that condition science in general and work group dynamics in particular, but severely hampers systematic comparisons of research performance impacts. Using innovative methods for the analysis of the diversity-research productivity relationship, Gedii will develop a reliable diversity measure that is sensitive to power, status and information sharing differentials within teams and across public & private organisations. This Gender-Diversity-Index (GDI) will thus provide a much more nuanced and realistic measure of the impact of gender diversity on research productivity, quality and innovation across countries and sectors. GDI scores will be explored in relation to a flexible set of performance indicators, including patent and bibliometric measures, combined with new indicators of social impact. Gedii's evaluation framework thus responds to the growing concern with responsible research and innovation. To address the social relevance and utility of our research, Gedii will engage stakeholders early and often: through advisory groups, virtual challenges, and theme-based innovation testimonials. By combining disparate conceptual approaches to gender diversity with an innovative assessment tool, Gedii will for the first time provide clear and comprehensive evidence for the link between gender diversity and research performance and enable research policy- and decision-makers to significantly enhance the capacity of European research.