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Dr Danat Valizade

Dr Danat Valizade

  • Position: Associate Professor in Quantitative Methods
  • Areas of expertise: Labour market polarisation and changing nature of work and employment; job quality, employee wellbeing; data analytics, quantitative social sciences
  • Email: D.Valizade@leeds.ac.uk
  • Phone: +44(0)113 343 0045
  • Location: G.49 Maurice Keyworth Building
  • Website: Twitter | LinkedIn | Googlescholar | Researchgate | ORCID

Profile

With the background in labour economics and an established career in the trade union movement, I graduated with a PhD in Business and Economic Studies from the University of Leeds. I joined the Faculty in 2012 first as a doctoral candidate and then as a full-time academic member of staff. I have been involved in a number of high-profile research projects. I was co-investigator for the Solicitors Regulation Authority (SRA) funded project on gender and ethnic disadvantages in the legal profession of England and Wales. I am 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. I am currently 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). I have published in leading sociology, human resource management and industrial relations journals. I sit on the editorial board of Work, Employment and Society and have previously sat on the executive committee of the British Universities Industrial Relations Associations. 

Research interests

My 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. My empirical research applies advanced econometrics and machine learning techniques to foster a better understanding of causal mechanisms underpinning contemporary employment relations. 

Qualifications

  • PhD in Business and Economic Studies (University of Leeds)
  • Candidate of Sciences (St Petersburg University of Humanities and Social Sciences)
  • Diploma in Economics (St Petersburg University of Humanities and Social Sciences)

Professional memberships

  • British Universities Industrial Relations Association (executive committee)
  • Work, Employment and Society (Editorial board)
  • The Society for Advancement in Socio-Economics
  • Labor and Employment Relations Association
  • British Sociological Association

Student education

My teaching revolves around data literacy and statistical analyses. I particularly strive to embedd research-led teaching into the curriculum and using novel approaches to teaching quantitative research methods. I am teaching and supervising dissertations at masters level and am responsible for the delivery of the training for the summer research project placement scheme coordinated by Q-Step.

 

Undergraduate taught modules

LUBS 1185 Understanding Statistics in the Social Sciences (module leader)

LUBS 1180 Understanding Data in the Social Sciences (module leader)

LUBS 2885 HRM Research Practices and Personal Tutorials (tutor)

LUBS 3185 People Analytics: Strategy and Practice (tutor)

Q-Step summer placement scheme (boot-camp leader)

 

Postgraduate taught modules

LUBS 5342M People Analytics: Strategy and Practice (tutor)

 

Postgraduate research modules

LUBS 5293M Understanding Your Discipline (tutor)

Research groups and institutes

  • Centre for Employment Relations, Innovation and Change

Current postgraduate researchers