Life course research

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Workshop

This one-day workshop provides an introduction to life course research across multiple disciplines, looking specifically at uses of cohort and longitudinal data.

The workshop is suitable for early career researchers and more experienced users of cohort data who are interested in learning about life course approaches. It will cover the concepts, models and methodology of life course research, and will highlight examples from cohort and longitudinal studies.

Lecturers are experienced teachers at the forefront of life course research in different disciplines. The programme will also provide time for interaction and discussion after lectures and a small group work session.

Provisional programme

Morning sessions:

Session 1: Life course models, theory and examples

Session 2: Perspectives from multiple disciplines
• Psychological perspectives on the life course
• Developmental Origins of Health and Disease (DoHaD)

Afternoon session:

Session 3: Methodology and analysis in life course research

 

Speakers

  • Professor Rebecca Hardy photo

    Professor Rebecca Hardy,

    Professor of Epidemiology and Medical Statistics

    Rebecca is Professor of Epidemiology and Medical Statistics and a programme leader at the MRC Unit for Lifelong Health and Ageing at UCL. Rebecca’s research investigates how risk factors from across the life course influence cardiovascular ageing and development of CVD. With a background in statistics, Rebecca is also interested in the methodology for the analysis of life course data and for cross-cohort comparisons. She has co-authored several of the key texts in life course epidemiology.

  • Professor Diana Kuh photo

    Professor Diana Kuh,

    Director of the MRC Unit for Lifelong Health and Ageing

    Professor Diana Kuh is the Director of the MRC Unit for Lifelong Health and Ageing at UCL and of the MRC National Survey of Health and Development (NSHD). Diana is the co-founder of the field of life course epidemiology and co-author of the key texts. Diana uses NSHD data to study how biological, psychological and social factors at different stages of life, independently, cumulatively or interactively affect adult health, ageing and chronic disease risk.