Working Towards an Inclusive Research Culture Through EDI Education, Engagement and Empowerment of the Research Community

Authors

  • Rachel Cowen University of Manchester, Oxford Road, Manchester, UK https://orcid.org/0000-0002-7346-5621
  • Sarah Williams University of Manchester, Oxford Road, Manchester, UK
  • Maria Marsh University of Manchester, Oxford Road, Manchester, UK
  • Di Zhang University of Manchester, Oxford Road, Manchester, UK
  • Neal Chamberlain University of Manchester, Oxford Road, Manchester, UK https://orcid.org/0000-0003-3600-7645
  • Diane Harris University of Manchester, Oxford Road, Manchester, UK
  • Michael Dixon University of Manchester, Oxford Road, Manchester, UK https://orcid.org/0000-0001-8346-6671

DOI:

https://doi.org/10.31273/eirj.v11i3.1577

Keywords:

equality, diversity, inclusion, advocacy, inclusive leadership, active bystander, research culture, intersectionality

Abstract

This paper provides critical reflection on work and progress to embed EDI in our research and innovation workforce, practice and culture at the University of Manchester. Our university aim is to take an intersectional and holistic approach to educate, engage, empower and support our staff and student community at all levels to prioritise EDI.  To embed EDI in research and promote collective responsibility to help shape a fairer, inclusive research culture the University launched the ‘Inclusive Research Transformation Programme’. This programme included developing inclusive research mindsets and building inclusive leadership capacity (from UG to senior research leader); a University EDI award scheme which catalysed innovative local and national researcher led EDI initiatives; and targeted funding schemes to help address gender, ethnicity, and disability inequities within our research career pipeline. Three schemes were developed, an UG EDI summer placement scheme, an early career research staff EDI fellowship underpinned by inclusive advocacy and an established academic returners scheme.

Funding Acknowledgement
This work was funded by University of Manchester and Wellcome Institutional Strategic Support Fund (204796/Z/16/Z ISSF - Wellcome ISSF 3 – EDI).

 

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Published

2024-08-08