Prescribed activity 6 - Accounting for systemic bias in research metrics
Initiative |
10-01-2023
Led by Prof Tanvir Hussain (University of Nottingham)
PrescribedActivity
Data will be collected (using an intersectional
lens) and analysed to quantify the bias in research metrics of being from
underrepresented groups. Energy researchers at partner Universities (PDRAs and
ECR academics) will be surveyed for publication rates, authorship (including
author position), numbers of collaborators and citation information. Funding
applications and success rate diversity data will also be requested from the
ESPRC Energy programme, including intersectionality and more detailed ethnic
characteristics. The data will be used to calculate the
bias in research metrics. The findings will be published in digestible form
alongside recommendations to combat the observed effects. Findings will be
disseminated widely, including to promotion panels in member universities, and
university management groups/executive teams.