Professor Natalie Shlomo, University of Manchester
Natalie Shlomo is very active in research around quality indicators for survey representativeness; indicators that form the key to optimization and quality-cost trade-offs in an adaptive survey design. She will develop theoretical aspects of Bayesian adaptive survey designs. As the Principle Investigator, Natalie will also coordinate all theoretical research, case studies, simulation studies and real applications across the partners/institutions in the network.
Dr Stephanie Coffey, US Census Bureau
Stephanie Coffey is a researcher in the Center for Adaptive Design at the US Census Bureau and brings to the network practical expertise and experience. She will provide datasets, realistic case studies and simulations.
Dr Gabriele Durrant, University of Southampton
Gabriele B. Durrant is Associate Professor (Reader) in Social Statistics in the Department of Social Statistics and Demography at the University of Southampton. She has extensive research interests in the areas of paradata, interviewer effects, nonresponse in sample surveys, measurement error, and statistical modelling in the social sciences, in particular multilevel modelling. She will assist in the theoretical development of adaptive survey design, most prominently in the inclusion of survey process data and models for nonresponse. She has considerable expertise in these areas and has supervised PhD students working on paradata. She will coordinate activities relating to the Research Workpackage 1 of the ESRC National Centre for Research Methods, which is on ‘Analysing hierarchical time-dependent paradata to reduce nonresponse in large-scale surveys’.
Dr Peter Lundquist, Statistics Sweden
Peter Lundquist's contribution to the network lies in theory related to quality of response indicators and practical applications of adaptive survey designs in interviewer surveys. Peter will be responsible for case studies on real datasets. In addition he will coordinate research with colleagues from Stockholm University of Sweden.
Mr Dan Pratt, RTI International, North Carolina
Dan Pratt is the director of the Center for Education Surveys at RTI International and is a senior programmer/analyst and has expertise in developing computer software systems. He brings to the network practical expertise, experience and computing skills. He will provide datasets, realistic case studies and simulations.
Dr Barry Schouten, Statistics Netherlands
Barry Schouten will research and develop theory on Bayesian adaptive survey designs and coordinate all theoretical developments across the other partners/institutions. He will coordinate activities within his institution with case studies and real applications. In addition, Barry also has a faculty position at the University of Utrecht, the Netherlands and supervises PhD students.
Dr James Wagner, University of Michigan
Along with other University of Michigan faculty members, James will contribute to theory of Bayesian adaptive survey designs. In particular, the identification of production phase boundaries using Bayesian modelling. James will also implement practical applications for the network, including using Bayesian logistic regression models to monitor field production for surveys such as the National Survey of Family Growth. James may supervise students working in these areas as well.