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A novel data solution to inform curriculum decolonisation: the case of the Imperial College London Masters of Public Health

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Title: A novel data solution to inform curriculum decolonisation: the case of the Imperial College London Masters of Public Health
Authors: Price, R
Skopec, M
Mackenzie, S
Nijhoff, C
Harrison, R
Seabrook, G
Harris, M
Item Type: Journal Article
Abstract: There is increasing interest within Higher Education Institutions (HEIs) to examine curricula for legacies of colonialism or empire that might result in a preponderance of references to research from the global north. Prior attempts to study reading lists for author geographies have employed resource-intensive audit and data collection methods based on manual searching and tagging individual reading list items by characteristics such as author country or place of publication. However, these manual methods are impractical for large reading lists with hundreds of citations that change over instances the course is taught. Laborious manual methods may explain why there is a lack of quantitative evidence to inform this debate and the understanding of geographic distribution of curricula. We describe a novel computational method applied to 568 articles, representing 3166 authors from the Imperial College London Masters in Public Health programme over two time periods (2017–18 and 2019–20). Described with summary statistics, we found a marginal shift away from global north-affiliated authors on the reading lists of one Masters course over two time periods and contextualise the role and limitations of the use of quantitative data in the decolonisation discourse. The method provides opportunities for educators to examine the distribution of course readings at pace and over time, serving as a useful point of departure to engage in decolonisation debates.
Issue Date: 19-Jan-2022
Date of Acceptance: 26-Nov-2021
URI: http://hdl.handle.net/10044/1/94224
DOI: 10.1007/s11192-021-04231-3
ISSN: 0138-9130
Publisher: Springer
Start Page: 1021
End Page: 1037
Journal / Book Title: Scientometrics: an international journal for all quantitative aspects of the science of science, communication in science and science policy
Volume: 127
Copyright Statement: © The Author(s) 2022. Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Sponsor/Funder: Vice Provost Education
Funder's Grant Number: Presidents Excellence grant for Teaching and Learning
Keywords: Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Information Science & Library Science
Computer Science
Geographic bias
Curriculum
Decolonisation
Reading lists
COUNTRY
WORLD
BIAS
Science & Technology
Technology
Computer Science, Interdisciplinary Applications
Information Science & Library Science
Computer Science
Geographic bias
Curriculum
Decolonisation
Reading lists
COUNTRY
WORLD
BIAS
Science Studies
0807 Library and Information Studies
1605 Policy and Administration
Publication Status: Published
Online Publication Date: 2022-01-19
Appears in Collections:Library
Central Services
Faculty of Medicine
School of Public Health



This item is licensed under a Creative Commons License Creative Commons