A4 Vertaisarvioitu artikkeli konferenssijulkaisussa
Resilience Academy Student Internship Model as an Innovative Way to Enhance Geospatially Literate Future Work Force in Africa
Tekijät: Msilanga Msilikale, Käyhkö Niina, Mbise Mercy, Ngereja Zakaria, Makame Makame O., Mauya Ernest
Toimittaja: M. Gasparotto, S. Acosta y Lara, M. A. Brovelli
Konferenssin vakiintunut nimi: FOSS4G
Julkaisuvuosi: 2021
Journal: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Kokoomateoksen nimi: The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XLVI-4/W2-2021: FOSS4G 2021 – Academic Track, 27 September–2 October 2021, Buenos Aires, Argentina
Sarjan nimi: International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Vuosikerta: XLVI-4/W2-2021
Aloitussivu: 115
Lopetussivu: 117
ISSN: 1682-1750
DOI: https://doi.org/10.5194/isprs-archives-XLVI-4-W2-2021-115-2021
Rinnakkaistallenteen osoite: https://research.utu.fi/converis/portal/detail/Publication/67832083
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.
Ladattava julkaisu This is an electronic reprint of the original article. |  |
