{
  "abstract": "As AI automates coding and statistical modelling, quantitative ecologists face an existential crisis. But automated analysis is only as good as the data it is fed, shifting the scarce resource from analysis to expert observation. Naturalists and field ecologists, increasingly ‘endangered’ species in the modern era, may experience a resurgence, if institutions act.",
  "abstract_shown": true,
  "affiliations": [],
  "article_type": null,
  "arxiv": null,
  "author_total": 1,
  "authors": [
    {
      "name": "Stefano Mammola"
    }
  ],
  "bibtex": "https://research.draconitic.com/paper/d59p1cpqt6yzk.bib",
  "cited_by": 0,
  "doi": "10.32942/x2fx2q",
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  "id": "d59p1cpqt6yzk",
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  "landing_url": "https://ecoevorxiv.org/repository/view/15813/",
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  "licence": "CC-BY-4.0",
  "licence_label": "CC BY 4.0",
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  "metadata_licence": null,
  "native_subjects": [
    [
      "bepress",
      "Biology"
    ],
    [
      "bepress",
      "Ecology and Evolutionary Biology"
    ],
    [
      "bepress",
      "Life Sciences"
    ]
  ],
  "openalex": null,
  "pdf_url": "https://ecoevorxiv.org/repository/object/15813/download/27383/",
  "pmcid": null,
  "pmid": null,
  "published": "2026-10-30",
  "publisher": null,
  "ris": "https://research.draconitic.com/paper/d59p1cpqt6yzk.ris",
  "sources": [
    {
      "first_seen": "2026-10-31T12:20:56Z",
      "native_id": "15813",
      "source": "ecoevorxiv",
      "url": "https://ecoevorxiv.org/repository/view/15813/"
    }
  ],
  "subjects": [
    {
      "field": "biology",
      "origin": "bepress:Ecology and Evolutionary Biology",
      "subfield": "ecology"
    },
    {
      "field": "biology",
      "origin": "bepress:Ecology and Evolutionary Biology",
      "subfield": "evolutionary-biology"
    }
  ],
  "title": "Will AI inadvertently push a natural history renaissance?",
  "title_text": "Will AI inadvertently push a natural history renaissance?",
  "type": "preprint",
  "updated_at": "2026-11-01T12:20:46Z",
  "url": "https://research.draconitic.com/paper/d59p1cpqt6yzk",
  "venue": "EcoEvoRxiv",
  "versions": []
}