tion Space and Place, the Journal of Urban Affairs, Population and Environment, and Urban Geography. He is a member of the National Academy of Sciences and has served on a number of National Research Council committees, and he is currently on the Transportation Research Board Executive Committee and the Geographical Sciences Committee. He has a Ph.D. in geography from the University of Illinois.
SUSAN COPELLA is director of the Pennsylvania State Data Center at Pennsylvania State University. She is chair of the Federal State Cooperative Program for Population Projections, state representative to the Federal State Cooperative Program for Population Estimates, and member of its group quarters subcommittee. Her experience includes working with the U.S. Census Bureau to review population estimates and to coordinate the Local Update of Census Addresses, the Participants Statistical Areas Program, and the 2010 Count Review Program, including a review of housing units and group quarters. Prior to joining the State Data Center, she worked in a number of urban and regional planning agencies. She has a B.A. in urban studies and geography from the University of Pittsburgh.
DAVID DOLSON is director of the Social Survey Methods Division at Statistics Canada, where he is responsible for all statistical and survey methods in support of the Census of Population, including the program of postcensal surveys, the Geography Division, and the demographic statistics program. He also oversees the Statistical Consultation Group, the Questionnaire Design Resource Centre, and the Data Analysis Resource Centre. He directs the development, testing, evaluation, and implementation of statistical and survey methods, using a variety of data collection modes, including supplementing questionnaire data with information obtained from administrative records. He consulted with the U.S. Census Bureau staff on the Reverse Record Check methodology for census coverage measurement and participated in expert workshops on the U.S. census coverage measurement program and coverage improvement options for the 2020 U.S. census. He has a master of mathematics degree in statistics from the University of Waterloo.
RALPH FOLSOM is chief scientist at RTI International, with expertise in complex sample design and analysis, small-area estimation, missing data imputation, and survey weight adjustment. Working on the National Survey on Drug Use and Health (NSDUH), which is based on a sample of individuals living both in households and in group quarters, he initiated innovative weight adjustment methods based on his logistic response propensity and exponential poststratification models. He has also introduced model-based imputations for missing frequency of use and income data items, and he has been an influential collaborator in the development of the NSDUH Predictive Mean Neighbor-