Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Non-equilibrium in the Cell

Non-equilibrium in the Cell

An important concept in studying metabolism and energy is that of chemical equilibrium. Most chemical reactions are reversible. They can proceed in both directions, releasing energy into their environment in one direction, and absorbing it from the environment in the other direction. The same is true for the chemical reactions involved in cell metabolism, such as the breaking down and building up of proteins into and from individual amino acids, respectively. Reactants within a closed system...

Role of Shaping in Operant Conditioning

Role of Shaping in Operant Conditioning

Shaping is a technique used in operant conditioning to train complex behaviors by rewarding successive approximations toward the target behavior. This method is necessary because organisms are unlikely to perform complex behaviors spontaneously. Instead, shaping breaks down the desired behavior into small, manageable steps.
The steps involved in shaping begin with reinforcing any response that resembles the desired behavior. For example, parents might praise a child for picking up one toy. As...

Automatic Processing and Automatic Social Behavior

Automatic Processing and Automatic Social Behavior

Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...

Distribution Reliability and Automation

Distribution Reliability and Automation

Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...

Ethics in Research

Ethics in Research

Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.

Synthetic Biology

Synthetic Biology

Synthetic biology is an interdisciplinary science that involves using principles from disciplines such as engineering, molecular biology, cell biology, and systems biology. It involves remodeling existing organisms from nature or constructing completely new synthetic organisms for applications such as protein or enzyme production, bioremediation, value-added macromolecule production, and the addition of desirable traits to crops, to name a few.
Golden rice
Golden rice is a genetically modified...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Ethical concerns about embodied brain organoids shaped by foundational distinctions and perceptions of consciousness.

Scientific reports·2026

Same author

Understanding and advancing research software grant funding models.

Open research Europe·2025

Same author

Evolving funding strategies for research software: Insights from an international survey of research funders.

PloS one·2025

Same author

Cycling on the Freeway: The perilous state of open-source neuroscience software.

Imaging neuroscience (Cambridge, Mass.)·2025

Same author

Responsible research impact: Ethics for making a difference.

Open research Europe·2025

Same author

Open-Source and FAIR Research Software for Proteomics.

Journal of proteome research·2025

Search research articles

Related Experiment Videos

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

Stephanie A Besser¹, Eric A Jensen^2,3, Daniel S Katz^1,3

¹School of Information Sciences, University of Illinois Urbana-Champaign, Urbana, Illinois, USA.

Open Research Europe

|March 23, 2026

Summary

Generative artificial intelligence (AI) is increasingly used in research software development, with over a third of developers reporting current use and more planning future adoption. A notable gender disparity exists, highlighting potential equity concerns.

Keywords:

AI-assisted programming academic research artificial intelligence adoption code generation computational research debugging demographic patterns gender disparities generative AI higher education mixed methods research productivity research software research workflows research-intensive university scholarly software software development software maintenance survey research technology adoption

Related Experiment Videos

Area of Science:

Computer Science
Software Engineering
Academic Research

Background:

Generative artificial intelligence (AI) is rapidly expanding within academic research.
Its specific impact on the development and maintenance of research software is not well understood.

Purpose of the Study:

To investigate the current adoption and future trends of generative AI in research software development.
To identify patterns of use and potential disparities in adoption among research software developers.

Main Methods:

An anonymized online survey was conducted with 251 faculty and research staff at a large research-intensive university.
Survey questions differentiated general research software users from creators/maintainers.
Quantitative (chi-square, Fisher's exact tests) and thematic analyses were employed.

Main Results:

29% of all respondents used generative AI for research tasks; 33% of active software developers used it for development.
51% of developers indicated planned future use of generative AI.
A significant gender disparity was observed, with higher adoption among men (41%) than women (15%).
Common uses included code generation, debugging, data transformation via natural language, and reducing cognitive load.

Conclusions:

Generative AI adoption in research software development is prevalent and expected to grow.
The observed gender disparity presents a potential equity risk as AI-assisted development becomes standard.
Findings establish an empirical baseline for future multi-institution studies and understanding AI's impact on research software work.