
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.
"The project presented pretends to create a Regional Observatory for Quality and Equity in Higher Education in Latin America (ORACLE). The project is based on the assumption that there is no possible quality without equity. For it, the project involves the participation of 35 universities from 15 countries from Latin America and 5 European countries. It will be developed for 36 months from 2016 to 2019.ORACLE is an innovative project although it seeks to give continuity and sustainability to 4 ALFA.3 projects supported by the EU. In order to achieve an optimal function of the Observatory, previously, it is going to be built a Quality and Equity Unit (UCE) in each one of the 30 universities that participate in the project. These UCE's will propose and design actions, policies and strategies of institutional quality assurance and equity. Likewise, these institutional units will operate in a reticulated way and they will be the starter point and the main emphasis of ORACLE. The creation of new structures will encourage the Organizational Development of the Higher Education institutions of ""la Región"".The groups in vulnerable situation that ORACLE's Observatory is focused on are a total of eight: indigenous people, women, people with disabilities, non- traditional students, population with very low HDI, immigrants, ethnic minority groups and citizens from rural areas. ORACLE aims to provide an integral and integrated service and, unlike other initiatives, it is not exclusively circumscribed on the academic development of the students, but it will also work with people in vulnerable situations among all levels (professors, students, administrative staff and managers) and all institutional functions: teaching, research and management."
The project aims to contribute to the improvement of the employability indexes and the labor insertion of the graduates of the higher education institutions of the countries of the Pacific Alliance (Mexico, Colombia, Peru and Chile), through permanent monitoring and analysis. Needs and characteristics of the labor market and the construction of national guidelines and policies that contribute to the creation of a relevant training offer and the strengthening of the academic programs offered by HEIs in the participating countries.
The Latin American region lacks a program that has a strong international character and to focus on the entrepreneurial university, for that reason, the REDEMPRENDIA has planned to launch the REDEMPRENDIA STARS program, an international business acceleration program to support the transfer of knowledge from universities to society. SOLA project is directly linked to REDEMPRENDIA STARS program as it develops and implements the training path for technical staff that will implement in the future the STARS program.As a specific objective, the project will implement a common training route to all partner universities of the project aimed at technical staff of universities with business incubator for acceleration and consolidation of strong innovative entrepreneurship and technological European Latin American and European Universities.The project consortium is composed by four higher education institutions in Latin America and four other European, all covered by an umbrella entity that six of the eight higher education institutions are members. This consortium is complemented by a business consulting Devalar, it brings to the project its expertise in the dissemination and capitalization of results field.The main results sought by the SOLA project are: Training module of 30 hours on LEAN CANVAS, training module 30 hours on strategic redefinition of start ups, industrial property and quality certifications, training module 30 hours duration of internationalization of companies, training module 30 hours on training of trainers in basic finance for entrepreneurs and consolidation and implementation of the course of 120 hours of final training for technical staff of incubators.
unCoVer is a functional network of research institutions collecting data derived from the provision of care to COVID-19 patients by health systems across Europe and internationally. These real-world data allow for studies into patient’s characteristics, risk factors, safety and effectiveness of treatments and potential strategies against COVID-19 in real settings, and complement findings from efficacy/safety clinical trials where vulnerable groups, and patients with comorbidities are often excluded. The network will facilitate access to otherwise scattered datasets, and build computational and analytical platforms to streamline studies on risk characterisation, and prediction modelling using standardised pooled data derived from real life practices. It will fill data gaps, unify current initiatives and create downstream exploitation opportunities for researchers and public health strategies to optimise COVID-19 strategies and minimise the impacts of future outbreaks