The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume XLII-4/W2
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 129–135, 2017
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4/W2, 129–135, 2017

  05 Jul 2017

05 Jul 2017


M. Minghini1, M. A. Brovelli1, D. Vandenbroucke2, M. Carbonaro3, S. Prüller4, M. Painho5, G. Martirano6, and D. Frigne7 M. Minghini et al.
  • 1Department of Civil and Environmental Engineering, Politecnico di Milano, Piazza Leonardo da Vinci 32, 20133 Milano, Italy
  • 2KU Leuven, Spatial Applications Division Leuven (SADL), Oude Markt 13, 3000 Leuven, Belgium
  • 3GISIG – Geographical Information Systems International Group, Via Piacenza 54, 16138 Genova, Italy
  • 4Paris Lodron University Salzburg, Department of Geoinformatics – Z_GIS, Hellbrunnerstraße 34, 5020 Salzburg, Austria
  • 5Nova IMS – Nova Information Management School, Universidade Nova de Lisboa, 1070-312 Lisboa, Portugal
  • 6Epsilon Italia, Via Pasquali 79, 87040 Mendicino (CS), Italy
  • 7Geosparc nv, Brugsesteenweg 587, 9030 Ghent, Belgium

Keywords: Academia, Cased-based Learning, Enterprise, Co-creation of Knowledge, Collaboration, Education, FOSS4G, Geographic Information

Abstract. In the sector of Geographic Information (GI) there is a gap between the education and training currently being offered by European universities and the knowledge and skills required by enterprises and public authorities. New forms of collaboration based on innovative methods are needed to cope with the challenges derived from the fast technological developments in the geospatial and ICT field. This paper presents the approach and the first findings of the EU Erasmus+ project giCASES – Creating a University-Enterprise Alliance for a Spatially Enabled Society (2016–2018) which addresses this challenge by introducing new methods for case-based and collaborative learning, and for the co-creation, management and sharing of knowledge between universities and enterprises. The aim of the project is to develop new training material and create innovative, multi-disciplinary learning processes based on real-world case studies (case-based learning). The paper focuses on the methodological approach developed during the first half of the project, and presents the 6 case studies where this approach will be tested during the second half. Despite the diversity of application domains (indoor mapping, environmental hazards, e-Government, utility networks, energy saving policies, and forestry), the case studies are all relevant to open source software and FOSS4G technologies will play a key role in their implementation, thus demonstrating their matureness and flexibility not only as GI teaching tools at the universities, but also as powerful means to develop innovative new services at the companies.