Jon Rasbash prize for Quantitative Social Science

The Centre for Multilevel Modelling just announced The Jon Rasbash prize for Quantitative Social Science. The Jon Rasbash prize for Quantitative Social Science  is awarded biennially for early career achievement in the field of quantitative social science.

The award was established in 2010 to commemorate the contributions to quantitative social science of Jon Rasbash, who was Professor of Computational Statistics and Director of the Centre for Multilevel Modelling at the University of Bristol. Jon was principally known for his development of multilevel methodology and its software implementation and for his research on studying social relationships within families. Through the development of the MLwiN software and teaching at numerous workshops worldwide, he played a major role in the adoption of multilevel modelling as a mainstream statistical technique.

Criteria; The £500 prize recognizes early career achievement in the development and/or application of advanced quantitative methods in any social science discipline. Applicants should be UK residents and in the first 10 years of their research career (including periods of postgraduate study). The prize will be awarded on the basis of a research paper published in a peer-reviewed journal in 2012 or 2013. The applicant should be the sole or lead author of the paper.

Application procedure; The deadline for submissions is 10 January 2014. Applicants should submit their paper to info-cmm at bristol.ac.uk, together with a short summary of the paper’s contribution to the development or application of advanced quantitative methods in social research. In the case of co-authored papers, a statement of the applicant’s contribution should also be submitted. Applications will be assessed by a panel including Professors Harvey Goldstein, Lindsay Paterson, Chris Skinner, Fiona Steele, and Patrick Sturgis. The prize will be presented at the 6th ESRC Research Methods Festival in July 2014. Please see http://www.bris.ac.uk/cmm/ for further information on the Centre for Multilevel Modelling.