State of AI in the RSE Workplace

State of AI in the RSE Workplace

How are research software engineers engaging with generative AI in the workplace?
The Academic Data Science Alliance, US Research Software Engineer Association, and Schmidt Sciences are working together to uncover how Research Software Engineers (RSEs) and those in adjacent workspaces (e.g., research team members, data scientists) are using Generative AI in the workplace.

The goals of this survey are to capture broad “state of the field” information and to help define topic areas for a set of convenings with the RSE community over the coming year. These convenings are intended to dig into the details of AI use in the RSE workplace: to understand what’s already happening, identify key challenges and opportunities, and explore how RSEs themselves can actively shape the future of AI-augmented research software engineering.

If you have any questions about the project, please contact:
Steve Van Tuyl

Program Manager - Academic Data Science Alliance

steve@academicdatascience.org

academicdatascience.org
What is your job title or role?*
How much of your work includes software engineering or adjacent activities (e.g., data wrangling, workflow automation, HPC, etc.)?*

Less than 25%25-50%50-75%More than 75%
Are you currently using AI tools (e.g., ChatGPT, Copilot, Claude) in your work? If so, how? *
What opportunities do you see for generative AI to enhance or transform the work of RSEs?*
What concerns, risks, or downsides do you anticipate with generative AI adoption in your work or in the broader RSE community?*
Is there anything else you'd like to share about your experiences with generative AI in the workplace?
What best practices, guidance, or advocacy would be valuable to you and/or your organization with respect to the use of generative AI in the RSE context?
Please verify that you are human*
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