Co-constructing ‘third spaces’ for engagement between minoritized community groups and environmental scientists

This is a Preprint and has not been peer reviewed. The published version of this Preprint is available: https://doi.org/10.3389/esss.2024.10119. This is version 2 of this Preprint.

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Authors

Richard Holliman , Geeta Ludhra, Clare Warren , Anjana Khatwa, Yoseph Araya, Kelly Smith, Janice Ansine , Marcus Peter Sebastian Badger 

Abstract

The demographics of environmental and Earth scientists are not representative of the UK’s multicultural society. We sought to widen diversity through two related engaged research projects, 'Walking the Walk' and 'Landscape Stories'. This paper offers a critically reflexive account, based on the methodology of duoethnography, of how we co-constructed a ‘third space’ for these projects. We sought to create the conditions for inclusive leadership informed by connectedness, respect, humility and intentionality. We argue that for environmental and Earth science research to be more equitable and inclusive, members of project teams should be engaged and more representative of wider society. Following this, the work to create third spaces requires: respect for diversity and different forms of expertise, knowledge starting points, power dynamics and esteem; a willingness to make connections across disciplines and sub-cultures, actively listening and learning from different (knowledge) cultures; and a commitment to be respectful of hidden and manifest difference, exploring objectives and gaps in knowledge in more holistic ways.

DOI

https://doi.org/10.31223/X5WM46

Subjects

Education, Life Sciences, Physical Sciences and Mathematics

Keywords

Environmental Sciences, Earth Sciences, Duoethnography, Engaged research, critical reflexivity, Third space, Diversity, Representation, Geoscience communication and ethics

Dates

Published: 2024-02-27 01:43

Last Updated: 2024-07-25 06:10

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License

CC BY Attribution 4.0 International

Additional Metadata

Conflict of interest statement:
None.

Data Availability (Reason not available):
The data is integrated within the paper.