‘I rarely get outside’: scientists ditch fieldwork in the age of AI

2026/01/07 by Aisling Irwin · 1 voice
Computer Science · Environmental Science · #Conservation, Ecology, Wildlife Education #Research Data Management Practices #Species Distribution and Climate Change

paper · doi:10.1038/d41586-025-04150-w

crossref issued 2026/01/07 · crossref published 2026/01/07 · crossref published-online 2026/01/07 · openalex publication_date 2026/01/07 · crossref created 2026/01/07 · crossref published-print 2026/01/08 · openalex created_date 2026/01/08 · crossref deposited 2026/01/20 · crossref indexed 2026/05/14 · openalex updated_date 2026/07/23

Citations

• The potential for AI to revolutionize conservation: a horizon scan
• Extinction of experience among ecologists
• Plasticity and not adaptation is the primary source of temperature-mediated variation in flowering phenology in North America

Cited by

• Generative AI can and should accelerate research evaluation reform to better recognize ‘distinctly human contributions’

Discussions

• La #ecología cambia rápidamente: sensores, grandes bases de datos como @gbif.org e #IA están transformando cómo estudiamos la #biodiversidad. Un artículo en Nature analiza este giro y el riesgo de per [bsky, 3 points, 1 comments]