Training sessions

Using GIS for population research

Trainer: Dr. Nik Lomax, University of Leeds, assisted by Rachel Oldroyd, University of Leeds 

4.45pm Monday 7 September – pre-booked and confirmed places only 

Population researchers have access to a huge range of spatial data, so being able to visualise, interpret and analyse this information is an important skill. This workshop is aimed at population researchers and is split in to a beginner and intermediate/advanced session. The beginner session is suitable for anyone who wants to have a go at plotting some spatial data and analyse the results while the intermediate/advanced session looks at some techniques for identifying patterns and trends. The workshop uses QGIS, an open source software platform that researchers can use without the need for an expensive licence so skills learned can easily be applied elsewhere. 

Email: n.m.lomax@leeds.ac.uk 

Systematic approached to reviewing the literature

Trainers: Dr. GJ Melendez-Torres, Dr. Stuart Gietel-Basten, University of Oxford 

1.45pm Tuesday 8 September – pre-booked and confirmed places only 

In preparation, participants have been asked to read two articles, both of which are systematic reviews on questions very relevant to demographers and to make notes on what the authors’ report that strengthens the reader’s confidence in their conclusions. A large component of the workshop will be discussing participants’ own literature reviews and they should also bring a list of the key questions they feel their own literature review will need to answer. These may be working ideas 

Email: gerardo.melendez-torres@spi.ox.ac.uk; stuart.basten@spi.ox.ac.uk 

An introduction to the UK Longitudinal Studies using the national Synthetic LS data spine

Trainer: Dr. Adam Dennett, University College London 

5.00pm Tuesday 8 September – some places may be available – please ask at Conference registration desk 

This training session is designed to introduce people unfamiliar with the analysis of longitudinal data and the unique social science that can be undertaken with microdata that tracks individuals over time, to the kinds of analyses that can be carried out. 

Using the new synthetic spine data developed for the UK longitudinal studies, workshop participants will be able to explore and analyse longitudinal microdata in a hands-on lab session. 

No previous experience of microdata or statistical analysis techniques is required 

Email: a.dennett@ucl.ac.uk

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