The Erasmus Mundus Joint Master in Sustainable Mineral and Metal Processing Engineering-PROMISE is being established due to the awareness of increasing demands in the quantity and diversity of minerals, metals and materials as we move towards renewable energy, electromobility, digital communication and other clean-energy technologies. The EMJM PROMISE aims to produce world-class mineral processing engineer postgraduates and future leaders to support the sector into a sustainable future. PROMISE is a two-year and 120 ECTS Master’s Programme. The language of instruction in PROMISE is English and incentives to learn the partners' national languages which will provide a broad multidisciplinary education in the sustainable recovery of valuable minerals and metals. The consortium organizing PROMISE consists of four Universities, the University of Oulu-Finland, the Montanuniversität Leoben-Austria, the University of Zagreb-Croatia and the University Tecnica Federico Santa Maria-Chile. These partners complement and strengthen each other by involving top-level mineral processing laboratories, pilot plants, analytical equipment and recognized scholars and experts. In addition, the consortium has strong ties with the processing industry and a cluster of 31 mining companies, research centres, suppliers and universities demonstrated their endorsement to this program (as associate partners) this provides an excellent environment for the success of this master programme.Students will have broad competence with specialisation in the main areas of mineral beneficiation emphasised in better mineral recovery from primary and secondary sources, metal recycling (urban mining), by-product recovery meeting the demands of today's industry and environmental protection as an integral part of the circular economy. Students will move to at least three HEIs. Upon completion, students will be awarded multiple master’s degree Diplomas and a Diploma Supplement.

The survey of sensory biological solutions to the physics problems offers an inspiring wealthy source for the design of artificial or bio-inspired sensory systems. A better understanding of sensory coding may have fruitful applications, in the long term for people with low or impaired vision, while enactive vision is targeted in the short term. Furthermore, the whole corpus of produced knowledge is going to help better understanding how the brain works. A Chilean and French multidisciplinary group of research teams with expertise in sensory biology; mathematical modeling, computational neuroscience and computer vision proposes to associate their complementarities to address: The integration of non-standard behaviors from retinal neural sensors, dynamically rich, sparse and robust observed in natural conditions, into neural coding models and their translation into real, highly non-linear, bio-engineering artificial solutions. An interdisciplinary platform for translation from neuroscience into bioengineering will seek convergence from (i) experimental and (ii) analysis/models, with a fine articulation between biological inspired computation and brain neural (coding / decoding) signal processing. As a corollary, tackling modern problems in Neuroscience requires sophisticated electronic and computational equipment and provides for electronic or computer engineers and biologists in Chile and France the opportunity of new sectors of development; we thus expect as an outcome, industrial solutions, with high-level in design and implementation, performing beyond the present state of the art on degraded natural image sequences. At a concrete level, this project is going to provide new experimental facts about non-standard retinal cell behavior in natural scenarios, the application of high-level statistical methods and tools to the design of innovative visual operators, an open-source software implementing the previous concepts at the numerical level and an experimentation platform to benchmark the obtained results. Research topics: -1- Dynamics of non-standard behavior of retinal cells in front of natural image sequences. -2- Identifying non-linear mapping from natural images to non-standard sensor behavior. -3- Statistical analysis of neural coding response in vertebrate retina, the framework of statistical physics. -4- Computer design and numerical development of a non-standard bio-inspired early-vision front-end - 5- Study of the integration of these new dynamic sensory modules in a visual architecture and experimental study of their performances in the case of degraded visual sources This proposal fills the need of fostering a joint collaborative scientific and technological progress, for which France and Chile have a long tradition of cultural and scientific exchanges. However the challenge of doing science together is still pending. Until this year, all the available collaborative projects from CONICYT-CNRS-INRIA-INSERM-ECOS were for short visits and student exchanges. We see now an fantastic opportunity for doing "real" joint scientific project, and we also foresee that the area of STIC will have a tremendous impact on Education, S&T generation and transfer to a variety of areas like biomedicine, robotics and artificial intelligence.

Smart Sustainable Cities (SSC) represent a progression of how cities apply digital technology to serve their populations, pursue sustainable socio-economic development, and transform themselves. The urban development that leads SSC requires a growing number of competencies to work together in order to plan, design, implement and manage the ongoing transformations of the city, enabled by technological innovation. Considering the great attention the concept of SSC has reached in Latin America, our project aims at integrating it into various university courses using new teaching and learning tools, as well as developing new curricula in all levels of education process. Given the increasing number of competencies needed and its interdisciplinary characteristic, the curricula for SSC will be implemented in areas such as ICT, Business Administration, Computer Science, Engineering, Architecture and Urbanism, Urban Planning, Political Science, among others, using a collaborative and international network of selected academic institutions in Latin America and Europe. The main outputs of the project include the development, evaluation and implementation of new courses and programmes on SSC to reach students, policy makers, public managers and other members of the city administration, professionals, managers and entrepreneurs, as well as university faculty that will be trained to apply the developed ICT-based tools to their classes. Besides academic curricula and specialization programmes, the project will provide an e-learning platform filled with a Massive Online Open Course on SSC. The main impacts of the project are to improve the quality of learning and teaching tools, methodologies and pedagogical approaches in the Latin America region, increase the employability and competitiveness of the students, and for the faculty members to increase the quality of their classes by using new learning and teaching tools and new content, as well as promoting life-long learning.

LASIN aims to effectively support and promote social innovation as a means to achieve sustainable and inclusive socio-economic growth, social cohesion and equity in Latin America, through intercultural, curricular and extracurricular activities. It will achieve this by establishing Social Innovation Support Units (SISU) within the Partner Countries to promote and support University-social enterprise cooperation, social entrepreneurship and graduate employability with a particular emphasis on social innovation projects, incubation and training. A range of learning and teaching tools will be developed, at a formal level through the development of a doctoral programme and more informally through CPD training of stakeholders in social innovation as well as through books and reports and a social innovation platform – a virtual space for sharing social innovation practices and learning outcomes. The project will establish international cooperation and internationalisation through a network of SISUs across the region introducing a training, mentoring and transfer scheme to ensure that there is an effective roll-out of the scheme beyond the original partnership. In addition, the project will specifically aim to involve local communities and in particular disadvantaged groups to give them access to University facilities and strengthen the ties between HEIs and their local social environment. There are at least two HEI partners representing each Partner country, one of which has experience at delivering social innovation training and other initiatives within their country and beyond. The EU Partners have a wide experience of delivering international innovation projects and embedding social innovative initiatives within their own institutions.