You are here

Due to global supply chain disruptions, we recommend ordering print titles early.

Danat Valizade University of Leeds, UK

Danat Valizade is an Associate Professor in Quantitative Methods at the University of Leeds. With the background in labour economics and an established career in the trade union movement, he graduated with a PhD in Business and Economic Studies from the University of Leeds. Danat's research interests coalesce around the changing nature of work with a specific focus on the quality of working lives, inequalities and digital futures at work.

His empirical research applies advanced econometrics and machine learning to foster a better understanding of causal mechanisms underpinning contemporary employment relations. He took part in numerous research project. He was co-investigator for the Solicitors Regulation Authority (SRA) funded project on gender and ethnic disadvantages in the legal profession that analysed administrative records spanning the entire solicitor population in England and Wales. He is part of the National Institute for Health Research (NIHR) funded project investigating the relationship between staffing levels and quality of care in care homes using large administrative datasets. He is leading the work on a nationally representative analysis of employers' digital practices at work as part of the Economic and Social Research Council (ESRC) research centre on digital futures at work (Digit).

Danat has published in leading sociology, human resource management and industrial relations journals. He sat on the editorial board of Work, Employment and Society and the executive committee of the British Universities Industrial Relations Associations. He is involved in Q-Step, a multimillion programme established by the Nuffield Foundation and the ESRC to help undergraduate students develop essential quantitative skills in the Social Sciences.