Harriet Ann completed her undergraduate degree in Sociology at Cardiff University before joining University of Sheffield as part of the Centre for Doctoral Training (CDT) in Data Analytics and Society in 2021. She is now a final year PhD student after having completed her integrated MSc in Data Analytics.
Harriet Ann’s research explores the financial costs of unpaid care in the UK using data from Understanding Society and the 2021 Census. Her partnership with the Office for National Statistics has enabled the use of recent data to investigate questions about gendered labour market inequalities for carers. This partnership has also been a particularly exciting opportunity to learn from experts at handling large scale social survey data and develop Python and R skills to be applied to the care research field.
Research interests
- Unpaid Care
- Gender Inequalities
- Labour Market Outcomes
- Social Care
- Intersectionality
Supervisors
Lead Supervisor:
Professor Sue Yeandle
Second Supervisor:
Dr Andrew Bell
Publications
Home ownership and unpaid care, England and Wales, 2011: Logistic regression models investigating the relationship between unpaid carer status, hours of unpaid care provided per week and home ownership, using 2011 Census data. Office for National Statistics (ONS), published 24 August 2022, ONS website, statistical bulletin, Home ownership and unpaid care, England and Wales: 2011