RSE and AI#
With AI having a growing impact on both research and software development, RSEs are increasingly required to understand and work with AI technologies.
Evidence of the problem#
Is AI After My Job? Navigating the Future of Research Software Engineering
Impact Targets#
RSEs are proficient in AI technologies relevant to their work#
This impact target will be achieved by providing RSEs with the necessary skills and knowledge to effectively work with AI technologies.
id: 1
RSEs are able to respond to the use of AI by researchers#
AI is increasingly used to produce research software. RSEs need to be ready to respond to the benefits and challenges associated with this.
id: 1
Objectives#
Key AI skills and knowledge for RSEs identified and documented#
This objective will be achieved by identifying and documenting the key AI skills and knowledge that RSEs need to effectively work with AI technologies. The output document should be agreed upon by key stakeholders in the RSE community.
id: 1
Impact targets: [1]
Actions#
Conduct a survey of RSEs to identify current AI skills and knowledge#
This action will be achieved by conducting a survey of RSEs to identify their current AI skills and knowledge.
id: 1
status: not-started
Outputs#
A report summarising the survey results
objectives: [1]A list of key AI skills and knowledge for RSEs
objectives: [1]
Current Active Projects and Initiatives#
Direct Framework A project to define the competencies required for RSEs at different levels of experience, and to provide guidance on how to develop these competencies.