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.
Authors
- Eric Jensen (ORCID: https://orcid.org/0000-0002-8332-4507)
- Stephanie A. Besser (ORCID: https://orcid.org/0000-0002-9691-352X)
- Daniel S. Katz
Institutions
- University of Illinois Urbana-Champaign (US)
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