The joint German - Hungarian - Polish - Romanian Project EUBILD-UNAKLIM 2016-1-DE02-KA204-003254 in the ERASMUS + Scheme KA2 (Strategic Partnerships) designs an international adult-learning furthering education course. It took place in the participating countries Germany, Hungary, Poland and Romania. Environmental and cross-sector topics were addressed. A “green” job search and a questionnaire among employers, financing and educational institutions and NGOs was performed across the partner countries in 2017. The objectives were to find differences in employers’ opinions on staff skills and the training topics provided by the furthering education organizations. In case differences were found, the course could close these gaps and will be adapted to the employers’ needs, bringing more course participants into employment. Statistical evaluation compared countries, institution types, employers and furthering educationand financing institutions. The results were visualized in pie charts, histograms, and - where applicable - trend lines. Preliminary results show clear ranking of the new “green” job categories with differences in countries and institutions. The questionnaire results show differences in topic selection between employers and furthering education bodies. The results form the base for the course curriculum design closing the gaps between employers’ expectations for “green” job topics and existing training curricula.

This paper presents a novel, generic, and automatic method for data-driven site selection. Site selection is one of the most crucial and important decisions made by any company. Such a decision depends on various factors of sites, including socioeconomic, geographical, ecological, as well as specific requirements of companies. The existing approaches for site selection (commonly used by economists) are manual, subjective, and not scalable, especially to Big Data. The presented method for site selection is robust, efficient, scalable, and is capable of handling challenges emerging in Big Data. To assess the effectiveness of the presented method, it is evaluated on real data (collected from Federal Statistical Office of Germany) of around 200 influencing factors which are considered by economists for site selection of Supermarkets in Germany (Lidl, EDEKA, and NP). Evaluation results show that there is a big overlap (86.4 %) between the sites of existing supermarkets and the sites recommended by the presented method. In addition, the method also recommends many sites (328) for supermarket where a store should be opened.