Low ethnic diversity among university applicants in marine and environmental science in the United Kingdom

The planet faces a triple crisis from climate change, biodiversity loss, and pollution. Like any country, the UK needs to attract the best available talent to become thought leaders to overcome these global challenges. Several Science, Technology, Engineering and Maths subjects in the UK face challenges with attracting ethnic minority students. As part of a wider project on diversity in UK environmental/marine science, we analysed university applications amongst 180 environmental and 88 marine science degrees in the UK between 2019–2021. We found them to be the least diverse degree subjects for ethnic minority students and Asian students were less likely to be accepted than white students on environmental science degrees. A survey of UK marine science course leaders highlights the belief that these issues impact the pipeline of diversity from higher education institutions to marine/environmental science careers. In this paper, we discuss the impacts of these findings and develop a roadmap to change. In the United Kingdom, Asian students are less likely to be accepted into University courses on environmental science than students of other ethnicities, according to an analysis of 18,000 applications submitted to UK universities between 2019 and 2021.

Authors

Institutions

Publication Details

Journal
Communications Earth & Environment
Published
2024-08-12
DOI
https://doi.org/10.1038/s43247-024-01579-1
Primary Topic
Arctic and Russian Policy Studies
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Low ethnic diversity among university applicants in marine and environmental science in the United Kingdom

Nuria Bachiller‐Jareno, Alex T. Ford, S. G. Reynolds, A. Shankar
Communications Earth & Environment
Arctic and Russian Policy Studies
article

Low ethnic diversity among university applicants in marine and environmental science in the United Kingdom

Nuria Bachiller‐Jareno, Alex T. Ford, S. G. Reynolds, A. Shankar
article en

Abstract

The planet faces a triple crisis from climate change, biodiversity loss, and pollution. Like any country, the UK needs to attract the best available talent to become thought leaders to overcome these global challenges. Several Science, Technology, Engineering and Maths subjects in the UK face challenges with attracting ethnic minority students. As part of a wider project on diversity in UK environmental/marine science, we analysed university applications amongst 180 environmental and 88 marine science degrees in the UK between 2019–2021. We found them to be the least diverse degree subjects for ethnic minority students and Asian students were less likely to be accepted than white students on environmental science degrees. A survey of UK marine science course leaders highlights the belief that these issues impact the pipeline of diversity from higher education institutions to marine/environmental science careers. In this paper, we discuss the impacts of these findings and develop a roadmap to change. In the United Kingdom, Asian students are less likely to be accepted into University courses on environmental science than students of other ethnicities, according to an analysis of 18,000 applications submitted to UK universities between 2019 and 2021.

Communications Earth & EnvironmentVol. 5(1)
University of Portsmouth (GB)
University of Portsmouth, University of Chinese Academy of Sciences, Natural Environment Research Council
Life below water
Openalex Percentile: Top 80%
Arctic and Russian Policy Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.