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Presentation . 2020
License: CC BY
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ZENODO
Presentation . 2020
License: CC BY
Data sources: Datacite
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Presentación en sesión grupal de socios de la RICAP: CoAct.Co-diseñando ciencia social ciudadana para la acción colectiva. (Presentation at RICAP's partners online group session: CoAct. Co-designing Citizen Social Science for Collective Action)

Authors: Actis, Guillermina;

Presentación en sesión grupal de socios de la RICAP: CoAct.Co-diseñando ciencia social ciudadana para la acción colectiva. (Presentation at RICAP's partners online group session: CoAct. Co-designing Citizen Social Science for Collective Action)

Abstract

On 24 September 2020 the annual meeting of RICAP partners (spanish acronym for Iberoamerican Network Of Participatory Science) took place. During an online group session CoAct’s project R&I action in Buenos Aires for environmental justice in the Matanza-Riachuelo Basin was presented. This action aims to promote the use of citizen science tools to achieve environmental justice. To achieve this target a data platform generated by citizens on their socio-environmental problems will be designed collaboratively. In this session the project’s progress in the context of the COVID-19 pandemic was reported. El 24 de septiembre de 2020 se realizó la reunión anual de socios de la Red Iberoamericana de Ciencia Participativa (RICAP). En el marco de una sesión grupal online se presentó la línea de acción del proyecto CoAct en Buenos Aires por la justicia ambiental en la Cuenca del Río Matanza-Riachuelo, que busca promover el uso de herramientas de ciencia ciudadana para el logro de la justicia ambiental. Para alcanzar este objetivo se diseñará de manera colaborativa una plataforma de datos generados por la ciudadanía sobre sus problemas socio-ambientales. En la presentación se expusieron los avances del proyecto en el contexto impuesto por la pandemia del COVID-19.

Keywords

Citizen science, CoAct, Collective action, Environmental justice, Citizen social science

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This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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