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Analysing creative multi-modal data for a scientific audience

Leigh, Jennifer S and Hiscock, Jennifer R. and Koops, Sarah and McConnell, Anna J. and Haynes, Cally J. E. and Caltagirone, Claudia and Kieffer, Marion and Draper, Emily R. and Slater, Anna G. and Hutchins, Kristin and Watkins, Davita and Busschaert, N. and von Krbrek, Larissa (2024) Analysing creative multi-modal data for a scientific audience. In: Kara, Helen and Mannay, Dawn and Roy, Alistair, eds. The Handbook of Creative Data Analysis. Policy Press, Bristol, pp. 81-97. ISBN 978-1-4473-6957-8. E-ISBN 978-1-4473-6959-2. (doi:10.51952/9781447369592.ch006) (KAR id:99550)

Abstract

This chapter will discuss analysis of multi-modal creative and qualitative research that has been undertaken by the International Women in Supramolecular Chemistry Network (WISC, 2020). WISC’s overarching aim is to create a community to support the retention and progression of women and other marginalised genders within the field. WISC use an ethos that ‘calls in’ the community and embeds Equality, Diversity and Inclusion (EDI) expertise (Caltagirone, Draper, Hardie, et al., 2021; Caltagirone, Draper, Haynes, et al., 2021). We intentionally use reflective methods as part of an Embodied Inquiry (Leigh and Brown, 2021) to capture and share their “invisible, embodied, emotional experiences” (Leigh et al., 2023, p. 1) as a way to raise awareness and effect change (Leigh, Hiscock, et al., 2022)

Item Type: Book section
DOI/Identification number: 10.51952/9781447369592.ch006
Uncontrolled keywords: Creative data analysis; science; stem; gender
Subjects: H Social Sciences
N Visual Arts
Q Science
Divisions: Divisions > Division of Natural Sciences > Chemistry and Forensics
Divisions > Division for the Study of Law, Society and Social Justice > School of Social Policy, Sociology and Social Research
Funders: UK Research and Innovation (https://ror.org/001aqnf71)
Royal Society (https://ror.org/03wnrjx87)
Depositing User: Jennifer Leigh
Date Deposited: 17 Jan 2023 19:39 UTC
Last Modified: 05 Nov 2024 13:05 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/99550 (The current URI for this page, for reference purposes)

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