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PreprintCC BY 4.0EcoEvoRxiv

Will AI inadvertently push a natural history renaissance?

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.

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BibTeX
@misc{mammola2026will,
  title = {{Will AI inadvertently push a natural history renaissance?}},
  author = {Stefano Mammola},
  howpublished = {EcoEvoRxiv},
  year = {2026},
  month = oct,
  doi = {10.32942/x2fx2q},
  url = {https://ecoevorxiv.org/repository/view/15813/},
  note = {CC BY 4.0},
}
RIS
TY  - UNPB
TI  - Will AI inadvertently push a natural history renaissance?
AU  - Stefano Mammola
PY  - 2026
DA  - 2026/10/30
PB  - EcoEvoRxiv
DO  - 10.32942/x2fx2q
UR  - https://ecoevorxiv.org/repository/view/15813/
AB  - 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.
ER  -