Professor Danat Valizade
- Position: Professor of Quantitative Employment Research
- Areas of expertise: Labour market inequalities and future of work; job quality; advanced econometrics and machine learning.
- Email: D.Valizade@leeds.ac.uk
- Phone: +44(0)113 343 0045
- Location: 2.05 31 Lyddon Terrace
- Website: Twitter | LinkedIn | Googlescholar | Researchgate | ORCID
I hold undergraduate and postgraduate degrees in Economics and Cultural Studies and a PhD in Business and Economic studies. Prior to joining the Faculty, I held senior positions within the trade union movement in Russia and taught labour history and employment relations at St Petersburg University of Humanities and Social Sciences. I published in leading international peer-reviewed sociology, management and industrial relations journals and obtained external funding from the Solicitors Regulation Authority (SRA), the National Institute for Health Research (NIHR), the European Parliament, the National Highways and the Economic and Social Research Council (ESRC). I have led the work on a nationally representative analysis of employers' digital practices at work as part of the ESRC research centre on digital futures at work (Digit) and am currently working on the National Highways funded project establishing a causal link between Equality, Diversity and Inclusion (EDI) and organisational performance.
I am a Co-Editor in Chief of New Technology, Work and Employment (3* ABS) and an Editor of Work, Employment and Society (4* ABS). I previously sat on the executive committee of the British Universities Industrial Relations Associations (BUIRA) and led the BUIRA doctoral network.
- Faculty Director of Taught Student Admissions
- Programme Director MSc Data Analytics and HRM
My research combinies insights from cutting-edge perspectives on causal inference and machine learning to deepen our understanding of the societal, organisational and political context shaping the future of work focsuing on persistent inequalities in the labour market, job quality and digital technology at work. I welcome PhD applications from prospective candidates interested in the structural analysis of labour markets and wider areas concerning digital technologies, employee voice and human resource management practices. I particularly welcome students interested in advanced quantitative methods.
- PhD in Business and Economic Studies (2016, University of Leeds)
- Candidate of Sciences (2010, St Petersburg University of Humanities and Social Sciences)
- Diploma in Economics (2006, St Petersburg University of Humanities and Social Sciences)
- British Universities Industrial Relations Association (executive committee)
- The Society for Advancement in Socio-Economics
- Labor and Employment Relations Association
- British Sociological Association
I teach across a wide range of undergraduate and postgraduate modules including research methods, human resource management and people analytics modules. As part of the Q-Step initiative I have designed and led on several flagship modules that utilise innovative approaches to teaching statistical science and data analytics to social science students.
I am a programme director for the MSc in Data Analytics and Human Resource Management and have supervised masters dissertation and doctoral students to completion.
Research groups and institutes
- Centre for Employment Relations, Innovation and Change