Science in the New AI Ecosystem

The integration of Artificial Intelligence (AI) tools is rapidly transforming scientific practice. In particular, researchers have begun to delegate cognitive and operational tasks---such as literature review, draft generation, preliminary data analysis, and hypothesis formulation---to automated systems. Recent studies suggest that this delegation increases individual productivity and reduces project development time, especially in early exploratory stages.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-08-20
DOI
https://doi.org/10.5281/zenodo.22020978
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Science in the New AI Ecosystem

Alejandro Anderson
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Science in the New AI Ecosystem

Alejandro Anderson
article en

Abstract

The integration of Artificial Intelligence (AI) tools is rapidly transforming scientific practice. In particular, researchers have begun to delegate cognitive and operational tasks---such as literature review, draft generation, preliminary data analysis, and hypothesis formulation---to automated systems. Recent studies suggest that this delegation increases individual productivity and reduces project development time, especially in early exploratory stages.

Zenodo (CERN European Organization for Nuclear Research)
University of Trento (IT)
Openalex Percentile: Top 3%
Scientific Computing and Data Management
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Science in the New AI Ecosystem — Alejandro Anderson · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS