Earth for AI: A Political Ecology of Data-Driven Climate Initiatives
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Biases also negatively impact areas of science outside the health sphere, including ecology, forestry, urban planning, economics, wildlife management, geography, and agriculture.
“Biases also negatively impact areas of science outside the health sphere, including ecology, forestry, urban planning, economics, wildlife management, geography, and agriculture [142, 164, 165].”
From The ethics of using artificial intelligence in scientific research: new guidance needed for a new tool (2025) · cites this paper as [164]
The citation lists haven’t been fetched yet
References 66 · Cited by 71
- Authors
- Nost, E., & Colven, E.
- Affiliations
- University of Guelph (CA)
- University of Oklahoma (US)
- Corresponding author
- Nost, Eric
- Venue
- Geoforum
- Publisher
- Elsevier BV
- Published
- 2022-03
- Volume
- 130
- Pages
- 23-34
- ISSN
- 0016-7185 (ISSN-L)
- OpenAlex
- W4213014988
- Cited by
- 71
- References
- 66
- Citations by year
- 2026: 17 · 2025: 19 · 2024: 19 · 2023: 13 · 2022: 3
- FWCI
- 15.64
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Geoforum (publishedVersion)
- Research Portal (King's College London) (submittedVersion)
- Topics
- Social Sciences › Safety Research › Ethics and Social Impacts of AI
- Social Sciences › Sociology and Political Science › Innovation, Sustainability, Human-Machine Systems
- Social Sciences › Arts and Humanities › Literature and Literary Theory › Ecocriticism and Environmental Literature
- Keywords
- political ecology, political economy of technology, surveillance, greenwashing, neocolonialism, disaster capitalism, sociomateriality, marginalized communities, climate change adaptation
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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