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Scientists as citizens and knowers in the detection of deforestation in the Amazon.
Monteiro, Marko; Rajão, Raoni.
Afiliação
  • Monteiro M; Department of Science and Technology Policy, Institute of Geosciences (IG), State University of Campinas (UNICAMP), Campinas, Brazil.
  • Rajão R; Department of Production Engineering, Federal University of Minas Gerais, Belo Horizonte, Brazil.
Soc Stud Sci ; 47(4): 466-484, 2017 08.
Article em En | MEDLINE | ID: mdl-28050931
ABSTRACT
This paper examines how scientists deal with tensions emerging from their role as providers of objective knowledge and as citizens concerned with how their research influences policy and politics in Brazil. This is accomplished through an ethnographic account of scientists using remote sensing technology, of their knowledge-making activities and of the broader socio-political controversies that permeate the detection of deforestation in the Amazon rainforest. Strategies for mitigating uncertainty are central aspects of the knowledge practices analyzed, bringing controversies 'external' to the laboratory 'into' the lab, making these boundaries conceptually problematic. In particular, the anticipation of alternative interpretations of rainforest cover is a crucial way that scientists bring the world into the lab, helping to shed light on how scientists, usually seen and analyzed as isolated, are in fact often in constant dialogue with the broader political controversies related to their work. These insights help question the idea that the monitoring of deforestation through remote sensing is a form of secluded research, drawing a more complex picture of the dual role of scientists as knowledge producers and concerned citizens.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política / Pesquisadores / Conservação dos Recursos Naturais / Tecnologia de Sensoriamento Remoto / Floresta Úmida Tipo de estudo: Diagnostic_studies / Qualitative_research País/Região como assunto: America do sul / Brasil Idioma: En Revista: Soc Stud Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Política / Pesquisadores / Conservação dos Recursos Naturais / Tecnologia de Sensoriamento Remoto / Floresta Úmida Tipo de estudo: Diagnostic_studies / Qualitative_research País/Região como assunto: America do sul / Brasil Idioma: En Revista: Soc Stud Sci Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Brasil