Tarrent, Megan;
Moreu, Marcos;
Gibs, HMB;
Haklay, Muki;
Lewis, Jerome;
Laws, Megan;
Skarlatidou, Artemis;
... Hoyte, Simon; + view all
(2023)
Sapelli.
In: Burnett, CM, (ed.)
Evaluating Participatory Mapping Software.
(pp. 93-119).
Springer: Cham, Switzerland.
Text
Lewis_Tarrent et al 2023 Sapelli.pdf Access restricted to UCL open access staff until 23 April 2025. Download (6MB) |
Abstract
Sapelli is a group of open-source applications, aimed to be used within a wider socio-technical approach which means that the software is expected to be used within a social process that considers inclusivity, equity, and risks and benefits. The software enables people with no or limited literacy as well as limited technical literacy to collect, share and analyze spatial data. Sapelli operates within the framework of an “Extreme Citizen Science” (ECS) methodology, based on co-creation and participatory design. This approach puts communities at the center of the project design process, enabling them to identify challenges they wish to address, what data to collect and how, and what analyses are required to address the challenges they have identified. The process relies on the consent and participation of participants, who shape the form and direction that the project takes.
Type: | Book chapter |
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Title: | Sapelli |
ISBN-13: | 9783031195938 |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1007/978-3-031-19594-5_5 |
Publisher version: | https://doi.org/10.1007/978-3-031-19594-5_5 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Citizen Science, Indigenous Peoples, Participatory Design, Open-source, Data Collection |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL SLASH UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS UCL > Provost and Vice Provost Offices > UCL SLASH > Faculty of S&HS > Dept of Anthropology |
URI: | https://discovery.ucl.ac.uk/id/eprint/10172693 |
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