Mainly: addressing the digital transformation through the use of Big Data and the awareness of the importance of using truthful information to generate scientific analysis on science, art, development cooperation, multiculturalism, inclusion, empowerment of women in STEAM disciplines, democratic values and diversity of the European countries. Specifically: increasing knowledge and importance of data digitalization; improving the employability and employment approach of students to the labor market; fostering the fight against planned obsolescence by recycling electronic and IT equipments; promoting digital skills and capabilities for innovation and business entrepreneurship by stimulating the participants with fewer opportunities and encouraging female students to take an interest in STEAM fields; fostering knowledge about European common, democratic and civic values among participants in the project; boosting awareness of reducing, recycling and reuse of IT equipments, clothing, books, etc.; discovering and sharing new forms of digital teaching during visits to each country and making participants aware of the importance of realizing collaborative projects with regions affected by natural disasters and/or developing countries.
One of the main aims was to promote the use of Big Data by using free hardware accessible and user-friendly techniques. Another aim was to increase equal opportunity and combat discrimination. It should be noted that discriminatory treatment comes from fear and ignorance that lead to prejudices linked to rejection. We therefore deem that knowledge is the best antidote against discrimination. But, In current education, immersed in digital transformation, understanding of digital techniques and tools is greatly needed in order to process and analyze a great deal of data. We consider that the use of real data can be a means to increase socio-cultural awareness among the participants. With creating datasets on specific topics, we wanted to promote the use of truthful information, increasing ethical and cross-cultural values that should lead citizens committed to their surroundings. The purpose of generating datasets linked to the diverse countries involved in the project was to enhance the knowledge of other cultures so that the richness of Europe’s cultural diversity could be properly understood.