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Taking data science into the forest

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Longdon, Joycelyn 
Blackwell, Alan F 

Abstract

jats:p We contribute to the Science in the Forest, Science in the Past series by investigating the specific practices of “data science”, a set of contemporary methods associated with large-scale data processing infrastructure that shares many characteristics with artificial intelligence technologies. We offer a critical history of data science in relation to the engagement of Western publics with environmental policy through “citizen science”, and contrast those developments with the authors’ different experiences and perspectives of applying aspects of data science and citizen science in collaboration with local communities in South America and Africa. </jats:p>

Description

Keywords

37 Earth Sciences, 4407 Policy and Administration, 44 Human Society

Journal Title

Interdisciplinary Science Reviews

Conference Name

Journal ISSN

0308-0188
1743-2790

Volume Title

Publisher

SAGE Publications
Sponsorship
EPSRC (unknown)
European Commission Horizon 2020 (H2020) ERC (866006)
1. Cambridge Centre for Doctoral Training in AI 2. Evolution Education Trust grant from the Cambridge Conservation Institute. 3. UK Global Challenges Research Fund 4. European Union Horizon 2020 programme (Grant agreement No.866006)