Taking data science into the forest
Accepted version
Peer-reviewed
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Abstract
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.
Description
Journal Title
Interdisciplinary Science Reviews
Conference Name
Journal ISSN
0308-0188
1743-2790
1743-2790
Volume Title
Publisher
SAGE Publications
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Except where otherwised noted, this item's license is described as Attribution 4.0 International
Sponsorship
EPSRC (unknown)
European Commission Horizon 2020 (H2020) ERC (866006)
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)

