Learnings from a decade of data fellows: Co-creation of a data skills framework for non-STEM students

Authors

  • Jackie Carter University of Manchester
  • Adriana Eufrosina-Bora Queensland University of Technology

DOI:

https://doi.org/10.52041/iase24.703

Abstract

This workshop provided a reflection on an experiential learning model developed in the UK. The Data Fellows initiative supports undergraduate social science and humanities students to develop their data skills through work placements. The findings have resulted in a book, academic articles and international presentations which collectively provide a substantial body of evidence to illustrate how non-Stem (science, technology, engineering and maths) students can learn and practice their data analytic skills and progress into data and technical careers. 25% of the 373 data fellows placed to date have been from historically under-represented groups and 70% have been female. A case study was presented to show a journey from a first degree in social science to a postgraduate degree in data science. The aim of the workshop was to challenge the deficit narrative that can accompany the teaching of data skills in the social sciences and explore whether a suitable data skills framework exists or could be developed.

References

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Published

2025-02-06