Natalie Shlomo (BSc, Mathematics and Statistics, Hebrew University; MA, Statistics, Hebrew University; PhD, Statistics, Hebrew University) is Professor of Social Statistics at the School of Social Sciences, University of Manchester.  Before that, she was Senior Lecturer, School of Social Sciences at the University of Southampton from 2007 to 2012 and a methodologist at the Israel Central Bureau of Statistics from 1981 to 2007. Her areas of interest are in survey methods, survey design and estimation, record linkage, statistical disclosure control, statistical data editing and imputation, non-response analysis and adjustments, adaptive survey designs, quality indicators for survey representativeness and small area estimation.   She is the UK principle investigator for several collaborative grants from the 7th Framework Programme and H2020 of the European Union all involving research in improving survey methods and dissemination. She is also principle investigator for the Leverhulme Trust International Network Grant on Bayesian Adaptive Survey Designs. She is an elected member of the International Statistical Institute and a fellow of the Royal Statistical Society. She is an elected council member and Vice-President of the International Statistical Institute. She is associate editor of several journals, including International Statistical Review and Journal of the Royal Statistical Society, Series A.   She serves as a member of several national and international advisory boards. 

Recent Publications:

Rinott, Y., O’Keefe, C., Shlomo, N., and Skinner, C.  (2018)   Confidentiality and Differential Privacy in the Dissemination of Frequency Tables. To be Published in  Statistical Sciences.

Plewis, I. and Shlomo, N. (2017) Using Response Propensities to Improve the Quality of Response in Longitudinal Studies.  Journal of Official Statistics, Vol. 33, No. 3,   753–779.

De Waal, T., Coutinho, W. and Shlomo, N. (2017) Calibrated Hot Deck Imputation for Numerical Data under Edit Restrictions. Journal of Survey Statistics and Methodology, Vol. 5, Issue 3, 372–397.

 Schouten, B. and Shlomo, N. (2017) Selecting  Adaptive Survey Design Strata with Partial R-indicators, International Statistical Review, Vol. 85, Issue 1, 143-163.