Including EVERyone in GREEN Data Analysis

According to the EC, making Europe greener and more digital are the twin challenges member states need to address and resolve in the coming decades to ensure the quality of life of European citizens. According to IDC, the amount of new data created annually has grown tenfold between 2013 and 2020, from 4.4 trillion gigabytes to 44 trillion gigabytes, and spending on big data and business analytics is predicted to grow by 11% annually in the period 2021-2025. This increase has necessitated a higher dependence on data analytics and machine learning as the need for machines for data processing purposes has grown, and it has become evident that data without analysis has very little value. Data analytics thus holds the potential to solve issues related to climate change and global warming, but also to other social challenges. Environmental data analysis can be used to collect and analyze data on an array of environmental topics and use it as evidence for making management, financial & community decisions (Data-Driven Decision-Making). The proposed project addressed the discrepancy between the demand and supply of business analysts, which is estimated to be half a million on the EU level.

1. To develop the digital and sustainability competencies of educators in higher education and trainers working with NEETs through educator training and expertise exchange 2. To increase IT students' employability and environmental consciousness through the development of a joint course curriculum and learning and teaching materials on data analysis of environmental issues in partnership with the business sector. 3. To make higher education more inclusive of diverse groups of learners through cross-sectoral partnership, and the offering of more modular and flexible forms of education. All objectives contributed to the better integration of higher education institutions in local communities, and improved their social and environmental footprint on local and EU levels.

- trained educators through the 2 three-day trainings, - skilled students from 4 universities and NEET academy - developed course for the universities and NEET academies, but also applicable in vocational schools, business environments - created course, piloted and optimized course - study materials, digital contents, use cases, 6 books - conference on environmental data analysis - conference papers (more than 30, expected 5), workshops on the conference FRUCT (https://www.fruct.org/conferences/37/10th-dataworld-workshop/) and WorldCist (https://worldcist.org/index.php/workshops/eda-2025) - many additional activities supporting the project dissemination (https://evergreen.fri.uniza.sk/index.php/other-activities/)