Dr Emily Murray, UCL
Which place-based policies would be most effective in levelling up the life chances of young people living in coastal towns, to the rest of the UK?
Fellows
Our previous research fellows
Professor Joe Sakshaug, University of Warwick
Nurse and Interviewer Effects on Biological Survey Measurements
Dr Alexander O'Donnell, University of Tasmania
Children as independent agents in financially strained households: A longitudinal and cross-cultural test of the family stress model
Dr Alessandro Di Nallo, Bocconi University
The scarring effect of pregnancy loss on the life course
Dr Gretta Mohan, Economic and Social Research Institute, Dublin
Comparing alcohol behaviours in Scotland and Northern Ireland to evaluate an alcohol minimum unit pricing policy
Dr Peter Levell, Institute for Fiscal Studies
Children of the property boom: house price increases and the intergenerational transmission of wealth
Dr Kishan Patel, UCL
Quantifying the longitudinal impacts of primary and vicarious racial discrimination on the mental health of ethnic minority young people in UK households
Dr Alina Pelikh, UCL
The role of early adolescent experiences in explaining differences in school-to-work trajectories between siblings
Dr Gabriele Mari, Erasmus University
UNPAID – UNcovering PArenting and Income Dynamics
Dr Sue Easton, University of Lincoln
Do health outcomes for adults with chronic illness vary with different geographical access to healthcare services in rural, coastal and urban locations?
Dr Eleni Karagiannaki, LSE
Transition to adulthood in the UK in an intergenerational context
Dr Jennifer Smith, University of Warwick
Labour Market Flows (LAMAFLO): Individual labour market flows, transition rates and spell durations constructed from UKHLS/BHPS work life history data files
Professor Catherine Harnois, Wake Forest University
Assessing Intersectional Interviewer and Mode Effects in Reports of Discrimination
Dr Marion Lieutaud, LSE
Migrant Lives: Migration, gender and the unfurling of inequalities over the lifecourse.
Dr Kate Mason, University of Liverpool
Assessing the impact of forced residential moves on health, and the modifying role of local housing services.
Dr Alex Cernat, University of Manchester
Understanding mode switching and non-response patterns
Dr Jamie Moore, formerly Southampton University, now University of Essex
Using representativeness indicators to evaluate Understanding Society dataset representativeness given sample attrition across waves and non-response during data collection periods.
Dr Aja Murray, The University of Edinburgh
Dynamic predictors of and corrections for attrition in Understanding Society
Dr Katie Saunders, University of Cambridge
Is Understanding Society attrition related to dynamic processes of substantive interest to survey users and can weighting adjust for this? A focus on health and healthcare utilisation
Professor Steve McKay, University of Lincoln
Can machine learning (ML) improve our understanding of non-response in Understanding Society and means of tackling it?
Dr Thijs van den Broek, formerly LSE, now Erasmus University Rotterdam
Adverse childhood circumstances, life course trajectories and allostatic load in later life
Dr Nitzan Peri-Rotem, University of Exeter
The role of lifestyle factors in explaining fertility variation among couples in the UK
Dr Anthony Laverty, Imperial College London
Active travel and cardio-metabolic health in Understanding Society
Dr Mark Green, University of Liverpool
Evaluating the performance of personal, social, health-related, biomarker and genetic data for predicting an individual’s future health using machine learning
Dr Mónica Hernández Alava, The University of Sheffield
Couples health states and future health-related outcomes
Dr Rebecca Richmond, University of Bristol
Investigating epigenetic changes in shift work – a possible mechanism for its impact on health and the body clock
Professor Andrew Przybylski, University of Oxford
Building robust evidence-based policy for children in the digital age
Dr Heather Brown, Lancaster University
The Intergenerational Persistence of Inequalities in Health and Income: Where can we target policy to best reduce inequalities?