How generative AI is shaping research software development and maintenance at a research-intensive university

At a large research intensive university, generative AI adoption in research software development is already common among active developers and is expected to expand. The observed gender disparity signals a potential equity risk as tool assisted development becomes normalized. These findings provide an empirical baseline for multi institution replication and for evaluating how generative AI may reshape the organization and distribution of research software work.

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Publication Details

Journal
Open Research Europe
Published
2026-02-23
DOI
https://doi.org/10.12688/openreseurope.22009.1
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
0.00
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article

How generative AI is shaping research software development and maintenance at a research-intensive university

Eric Jensen, Stephanie A. Besser, Daniel S. Katz
Open Research Europe
Scientific Computing and Data Management
article

How generative AI is shaping research software development and maintenance at a research-intensive university

Eric Jensen, Stephanie A. Besser, Daniel S. Katz
article en

Abstract

At a large research intensive university, generative AI adoption in research software development is already common among active developers and is expected to expand. The observed gender disparity signals a potential equity risk as tool assisted development becomes normalized. These findings provide an empirical baseline for multi institution replication and for evaluating how generative AI may reshape the organization and distribution of research software work.

Open Research EuropeVol. 6
University of Illinois Urbana-Champaign (US)
Gender equality
Openalex Percentile: Top 49%
Scientific Computing and Data Management
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