Scientific Paper

Opening ecological data to reduce bias and strengthen AI in ecology

Michele Torresani et al. · 2026-10-12

What it covers

This BioScience viewpoint argues for representative ecological datasets, transparent AI models and responsible data sharing, with protections for sensitive species information and community knowledge.

Who it helps

Intended audience has not been documented.

Limitations

Publisher article text reviewed. Viewpoint, not a new empirical study; no new data reported. Stable DOI replaces supplied expiring tokenized PDF URL.

Show citation

Michele Torresani et al.. 2026-10-12. Opening ecological data to reduce bias and strengthen AI in ecology. https://doi.org/10.1093/biosci/biag147 (AI & Environment Resource Hub; record paper-opening-ecological-data-biag147; collection snapshot 2026-10-18).

Classification and context

Included in the original Scientific Paper collection. Labels below are metadata based suggestions. They are not verified findings, claims of effectiveness, or endorsements.

pathway

topic

lifecycle

orientation

Definitions, inclusion guidance, and examples →

Available source metadata

Author or creator
Michele Torresani et al.
Publisher
BioScience
Publication date
2026-10-12
Date precision
day
Geographic scope
Unknown
Language
unknown
Peer review
unknown
Source access
Not checked
Metadata confidence
Metadata unconfirmed
Last verified
Not yet verified
Snapshot import
2026-10-18
Legacy domain
Biodiversity & Ecosystems
Legacy subdomain
Unknown or not supplied
journal
BioScience
source evidence
https://academic.oup.com/bioscience/advance-article/doi/10.1093/biosci/biag147/8909499?searchresult=1
metadata reviewed at
2026-10-18
review evidence
https://academic.oup.com/bioscience/advance-article/doi/10.1093/biosci/biag147/8909499?searchresult=1
context reviewed at
2026-10-18

Provenance and review

Source access
Not checked
Metadata confidence
Metadata unconfirmed
Editorial relevance
AI for environmental action
Evidence quality
Evidence quality has not been separately assessed.

Source sheet: Scientific Paper · Row 534 · Original ID: paper-opening-ecological-data-biag147.

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Newsletter appearances

Publication, placement, and evidence are tracked separately. A legacy coverage flag alone does not prove an appearance.

Related through shared environmental topics

Ordered by the number of shared provisional topic labels. This indicates a browsing connection, not agreement between sources.

Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems

Tool

Amazon.ia — Inteligencia Ambiental

A developing Amazon-wide biodiversity monitoring initiative that aims to combine field observations, satellite data and AI to inform conservation and restoration decisions.

Source: Amazon IAReachable at last check · Required metadata corroborated

Shared topics: Research tools and geospatial methods; Biodiversity and ecosystems

Tool

Another way to view our planet: OlmoEarth embeddings

Ai2's interactive guide demonstrates OlmoEarth satellite embeddings through landscape similarity, change detection and land-cover examples, and links to a free, no-sign-in global embeddings explorer.

Source: ToolNot checked · Metadata unconfirmed

Shared topics: Governance and society; Research tools and geospatial methods

Shared topics: Governance and society; Biodiversity and ecosystems

Organization · Other

Blue Convergence Fund

Dedicated to funding research and outreach that drives innovative policy solutions in ocean sustainability, Blue Convergence Fund supports grants, provides outreach & engagement, and develops communities of practice on topics identified by the needs of coastal communities, managers, stakeholders and rights holders.

Source: OrganizationExcluded from automated checks · Metadata unconfirmed