Chris Skinner’s main research focus is on the statistical methodology of sample surveys and censuses. This includes developing methods to address questions relating to sampling design, estimation and analysis as well as aspects of data quality, such as missing data and measurement error. He is also interested in opportunities for using novel data sources, such as administrative data, in the context of both official statistics and the social sciences. He has pursued a line of research into statistical disclosure control, focussed on risk assessment, and is interested in connections between this field and recent multi-disciplinary developments in privacy, data protection and data linkage. He has a long-standing interest in applications of statistical modelling in the social sciences.
He held a series of academic positions at the University of Southampton over some 30 years before moving to the Department of Statistics at LSE in 2011, where he was Head of Department from 2013 to 2016. He has held a number of other senior positions, managing both research and capacity building activities in the social sciences, including directing the ESRC Centre for Applied Social Surveys and the European Science Foundation’s first scientific programme in Quantitative Methods in the Social Sciences. He was the founding Director of ESRC’s National Centre for Research Methods. He has also been active in developing links between academic and government statistics, especially in the UK, but also internationally, e.g. as a member of the Statistical Methods Advisory Committee of Statistics Canada for eleven years.
Chris Skinner has been elected a Fellow of the American Statistical Association, a Member of the International Statistical Institute, a Fellow of the British Academy and a Fellow of the Academy of Social Sciences. He was awarded the West prize of the Royal Statistical Society and a CBE for services to the social sciences in the New Year honours list in 2011.