RESILIENCE ACADEMY STUDENT INTERNSHIP MODEL AS AN INNOVATIVE WAY TO ENHANCE GEOSPATIALLY LITERATE FUTURE WORK FORCE IN AFRICA
| Autor: | Niina Käyhkö, Ernest William Mauya, M. Mbise, M. O. Makame, Z. Ngereja, M. Msilanga |
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| Rok vydání: | 2021 |
| Předmět: |
Technology
Medical education Geospatial analysis ComputingMilieux_THECOMPUTINGPROFESSION biology Global South Engineering (General). Civil engineering (General) biology.organism_classification computer.software_genre TA1501-1820 Work force Tanzania Dar es salaam Work (electrical) Internship ComputingMilieux_COMPUTERSANDEDUCATION Applied optics. Photonics Sociology TA1-2040 Resilience (network) computer |
| Zdroj: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVI-4-W2-2021, Pp 115-117 (2021) |
| ISSN: | 2194-9034 |
| Popis: | This paper is based on the experiences from Resilience Academy project in Dar es Salaam, Tanzania, where students’ are engaged to a mass-internships for a period of 8-12 weeks. Student internship model of the Resilience Academy is designed to work with the local organisations to conduct geospatial data collection campaigns based on the use of various open-source data and tools combined with community mapping and digital online working. Simultaneously, students’ exposure to practical training during the internship provides them with relevant applied geospatial skills, which increase their future employment opportunities and participation in informed decision-making. |
| Databáze: | OpenAIRE |
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