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Will AI inadvertently push a natural history renaissance?

Year: 2026

Type: preprint

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.

DOI: 10.32942/x2fx2q

Author: Stefano Mammola

Institutions: University of Helsinki, Water Research Institute, Finnish Museum of Natural History, National Research Council

Language: English

Topic: Research Data Management Practices

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W7224898168

Cites: 1

Cited by:

Related to: 10