Daniel Almirall is a Research Assistant Professor in the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus. His current methodological research interests lie in the broad area of causal inference, and he is particularly interested in methods for causal inference using longitudinal data sets in which treatments, covariates, and outcomes are all time-varying. He is also interested in developing statistical methods that can be used to form adaptive interventions, sometimes known as dynamic treatment regimes. He also works with clinical scientists and behavioral health researchers to design sequential multiple assignment randomized trials (SMARTs). SMARTs are randomized trial designs that give rise to high-quality data that can be used to develop and optimize adaptive treatment strategies.

William G. Axinn is professor of survey research, population studies, sociology and public policy at the University of Michigan. Axinn is a social demographer studying community, intergenerational, and social psychological influences on marriage, childbearing, reproductive health, mental health and the natural environment. He is former director of Michigan’s Survey Research Center with an active program of methodological research on longitudinal studies, survey data collection and mixed method studies. He is director of the Chitwan Valley Family Study (CVFS), a 20-year, mixed method longitudinal study in Nepal and deputy director of the Michigan team implementing the U.S. National Survey of Family Growth (NSFG) on behalf of the National Center for Health Statistics (NCHS).

Ahnalee Brincks is an Assistant Professor in the Department of Epidemiology and Biostatistics at Michigan State University. She is a quantitative methodologist with expertise in longitudinal data analysis, hierarchical linear models, structural equation modeling, and the analysis of data from randomized clinical trials. Her research focuses on identifying and addressing heterogeneity in response to intervention in an effort to better understand how and for whom preventive interventions are most effective.  She has several years of experience as an instructor of adaptive interventions and SMART designs. 

Jessica BroomeJessica Broome is an independent research consultant who conducts both qualitative and quantitative research for clients in a range of sectors, including healthcare, food, financial, consumer packaged goods, and education. She received her PhD in Survey Methodology from the University of Michigan, her MS in Applied Social Research from Hunter College of the City University of New York, and her BA in Sociology from Connecticut College. Her dissertation explored the impacts of telephone interviewers' speech and vocal characteristics on survey participation.

Trent Buskirk is the Novak Family Professor of Data Science and Chair of the Applied Statistics and Operations Research Department at Bowling Green State University.  He is also a Fellow of the American Statistical Association and most recently the Conference Chair for the American Association of Public Opinion Research.  Trent’s research interests include applications of machine learning to the design and analysis of surveys, use of auxiliary data to improve address and telephone based sample survey designs, and use of technology to improve data collection among others.  Trent’s work has appeared in numerous journals including the Journal of Survey Statistics and Methodology, Public Opinion Quarterly, Social Science Computer Review, Field Methods and the Journal of Official Statistics.  When not conducting surveys or doing research or teaching you can find Trent playing a competitive game of Pickleball. 

Pamela Campanelli is a Survey Methods Consultant and U.K. Chartered Statistician, Chartered Scientist and Fellow of the Academy of Social Sciences. She received her Ph.D. in statistics from the London School of Economics, and an M.A. in applied social research (survey methodology) and B.A. in psychology from the University of Michigan. Prior to starting her Survey Coach business (see www.thesurveycoach.com), she was a Research Associate at the Office of Educational Resources and Research at the University of Michigan, a Survey Statistician at the Center for Survey Methods Research at the U.S. Bureau of the Census, Chief Research Officer at the UK Institute for Social and Economic Research at the University of Essex, and Research Director at the Survey Methods Centre at the National Centre for Social Research, London. Her main interests and publications are in the study of survey error and data quality issues, with a special emphasis on questionnaire design, scale development, question testing strategies, and mixed modes of data collection. In addition to her consultancy work, she regularly teaches short courses for a variety of organizations, universities, government departments, and survey research companies in the UK and around the world from Singapore, Hong Kong and Australia to Brazil and the University of Michigan Summer Institute.

Mary Anne Casey  is an independent consultant and adjunct professor at the University of Minnesota. She specializes in designing and conducting individual and group interviews. The resulting information is typically used to plan and evaluate programs. She previously worked for the Kellogg foundation and the State of Minnesota. Casey is the coauthor of several books on focus group interviewing. She has been a consultant and evaluator at the international, national, state, and local levels on topics relating to health, wellness, community development, agricultural policy, and environmental issues. She received her PhD degree from the University of Minnesota.  In her spare time she enjoys reading, gardening and traveling.

Stephanie Coffey has worked at U.S. Census Bureau since 2010, and has worked on design and estimation facets of several large federal surveys, including the American Housing Survey, the Residential Finance Housing Survey, and the National Survey of College Graduates. Starting in 2012, she has worked as a survey methodologist in the Center for Adaptive Design and has focused on implementing and evaluating features of adaptive designs in Census Bureau Surveys. Stephanie is a doctoral candidate in the JPSM program at University of Maryland. She has a Master's degree in statistics from Hunter College in New York City and a Bachelor's degree in Materials Science Engineering from Virginia Tech.

Frederick Conrad is a Research Professor in the Survey Research Center at the University of Michigan and in the Joint Program in Survey Methodology (JPSM) at the University of Maryland, as well Professor of Psychology at the University of Michigan. He is the director of the Michigan Program in Survey Methodology.  He received a Ph.D. in psychology from the University of Chicago. His current research includes data collection with mobile, multimodal devices, adaptive user interfaces in web surveys, and interviewing techniques and interviewer-respondent interaction.


Scott Crawford is a Research Consultant and Founder of SoundRocket, a social science research firm located in Ann Arbor, Michigan.  Scott has a Masters in Applied Social Research from the University of Michigan, Ann Arbor, and a BA in Sociology from the University of the Pacific, has focused his career on the use of innovative technologies in social science research (web, multi-mode, mobile, and Internet-of-Things). Scott is also currently a student at Johns Hopkins University in the MA Science Writing program.  Scott routinely blogs on topics related to his work on The Launch Pad blog (http://www.soundrocket.com/soundrocket-blog/). He has assisted in the implementation of survey research projects for hundreds of researchers and research institutions (http://www.soundrocket.com/customers), and has led innovative collaborative research projects including the National Campus Climate Survey, the Multi-Institutional Study of Leadership, and the pGen and PeopleSeq data collection efforts.  Among the survey methodological interests noted above, Scott is also pursuing his interests in improving how the field of social science communicates its research to the general population.

Brad Edwards is a Westat vice president with more than 30 years of experience designing and managing large, complex surveys.  He is Westat's project director for the Medical Expenditure Panel Surveys household component.  Research interests include multicultural issues, panel survey design, mobile devices, performance dashboards, and data collector training and management. He co-chaired the 2015 conference âTotal Survey Error:  Improving Quality in an Era of Big Data, and co-edited Total Survey Error in Practice (2017). He was also a co-editor of Survey Methods in Multinational, Multiregional, and Multicultural Contexts (2010) and Hard-to-Survey Populations (2015), and has authored or co-authored many book chapters, journal articles, short courses, and presentations at AAPOR, ESRA, and other conferences.

Heather Gatny is a Research Associate at the Institute for Social Research at the University of Michigan. She received her master of science from the Michigan Program in Survey Methodology in 2005. She specializes in both survey methodology and family demography, and currently serves as the Relationship Dynamics and Social Life Study project director. In addition to survey data collection methods, Gatny's research interests include teen pregnancy, health behaviors during pregnancy, and adding the collection of biospecimans to social surveys.

Dirgha Ghimire is a Research Associate Professor at Michigan’s Population Studies Center, Adjunct Professor at the Agriculture and Forestry University in Nepal, and Executive Director at the Institute for Social and Environmental Research - Nepal. Ghimire is a social demographer studying the interplay between socio-political, economic and familial changes, psychological and emotional stress, population mobility and environmental dynamics. His methodological works involves mixed method design and implementation of innovative context-specific measures and measurement tools using mobile communication technology for the study of family change, related social processes and outcomes, and geophysical processes. He has more than 20 years of experience in the creation, management, and dissemination of data resources to the scientific community. Ghimire also regularly teaches an international seminar on Survey Data Analysis in Nepal.

Heidi Guyer is a Survey Director with the Survey Research Operations unit at the University of Michigan SRC.  She received a PhD in Epidemiology from the University of Michigan, an MPH from the University of Texas and a BA in Psychology from the University of Michigan. Heidi oversees data collection on large national and international health projects including previously having directed data collection on a large NIH-funded panel survey, the Health and Retirement Study (HRS), collaborating on several clinical studies with the VA, and currently directing the National Survey of Family Growth (NSFG). Heidi's areas of interest include the integration of clinical and objective health measures as well as the integration of new technology (i.e. wearables, sensors) in population-based research. She has extensive experience training investigators and managers around the world in methods for collecting data on similar surveys (e.g., the SHARE survey in Europe) and has published numerous book chapters and articles related to panel data collection and collecting physical measures and biomarkers in survey research. 

Steven G. Heeringa is a Research Scientist at the University of Michigan Institute for Social Research (ISR) and Associate Director of the ISR Survey Research Center (SRC).   He is a member of the Faculty of the University of Michigan Program in Survey Methods and the Joint Program in Survey Methodology. He is a Fellow of the American Statistical Association and elected member of the International Statistical Institute.  He is the author of many publications on statistical design and sampling methods for research in the fields of public health and the social sciences.  He is the lead author of Applied Survey Data Analysis (Chapman & Hall, 2010), a comprehensive new text on methods for the statistical analysis of complex sample survey data.   Steve has over 38 years of statistical sampling experience in the development of the SRC National Sample design, as well as research designs for ISR's major longitudinal and cross-sectional survey programs.  Since 1985 Steve has collaborated extensively with scientific colleagues in the design and conduct of major studies in aging, psychiatric epidemiology and physical and mental health. He has been a teacher of survey sampling and statistical methods to U.S. and international students and has served as a sample design consultant to a wide variety of international research programs based in countries such as Russia, the Ukraine, Uzbekistan, Kazakhstan, India, Nepal, China, Egypt, Iran, the United Arab Emirates, Qatar, South Africa and Chile.

Florian Keusch is an Assistant Professor of Statistics and Methodology at the School of Social Sciences, University of Mannheim, Germany, and an Adjunct Assistant Research Professor at the Joint Program in Survey Methodology, University of Maryland. Before joining the Universities of Mannheim and Maryland, he was a Research Fellow at the Institute for Social Research at the University of Michigan. He received a PhD in Social and Economic Sciences (Dr.rer.soc.oec.) and a MSc in Business (Mag.rer.soc.oec.) from WU (Vienna University of Economics and Business), Austria. His research interests include nonresponse and measurement error in Web and mobile Web surveys, passive mobile data collection, and visual design effects in questionnaires.

rauke Kreuter is a Professor in the Joint Program in Survey Methodology at the University of Maryland, USA; Professor of Statistics and Methodology at the University of Mannheim; and head of the Statistical Methods Research Department at the Institute for Employment Research (IAB) in Nürnberg, Germany.She received her Master in Sociology from the University of Mannheim, Germany and her PhD in Survey Methodology from the University of Konstanz. Before joining the University of Maryland she held a postdoc at the UCLA Statistics Department. Her research focuses on sampling and measurement errors in complex surveys. In her work at JPSM she maintains strong ties to the Federal Statistical System, and served in advisor roles for the National Center for Educational Statistics and the Bureau of Labor Statistics.

Richard Krueger is professor emeritus at the University of Minnesota, USA. He is an internationally recognized authority on the use of focus group interviewing within the public environment. He has written 7 books, authored many journal articles and lectured at venues throughout the world on this topic. In addition he is a former president of the American Evaluation Association. He holds a PhD in research methods and holds academic appointments in education, epidemiology and public health. In his spare time he repairs his motorcycle, swaps stories with friends, and shops for tools at the local hardware store. Maybe you’ve seen him there. 

Shonda Kruger Ndiaye is a Survey Director at the University of Michigan SRC. She was previously a Survey Manager on the NSFG, implementing its RSD techniques, and she currently directs data collection on the Panel Study of Income Dynamics suite, which includes several studies that implement RSD.

Sunghee Lee is an Associate Research Scientist at the Survey Methodology Program.  She holds a PhD from the Joint Program in Survey Methodology at the University of Maryland. Before joining the Survey Methodology Program, she served as Survey Methodologist for California Health Interview Survey and an Adjunct Assistant Professor in Biostatistics at UCLA.  Sunghee’s research interest includes sampling and measurement issues in data collection with linguistic and racial minorities as well as hard-to-reach populations and cross-cultural survey methodology.

James M. Lepkowski is Research Professor at the Survey Research Center and Professor of Biostatistics at the University of Michigan. He is also Research Professor at the Joint Program in Survey Methodology at the University of Maryland. He received his Ph.D. from the University of Michigan in 1980. His research interests include sampling methods, methods for compensating for missing data, estimation strategies for complex sample survey data, and the effect of interviewer and respondent behavior on the quality of survey data.

Peter V. Miller is a Senior Researcher for Survey Measurement at the U.S. Bureau of the Census, and Chief Scientist in the Bureau’s Center for Adaptive Design.  He joined the staff of the Census Bureau in 2011. Before arriving at Census, Dr. Miller spent 29 years at Northwestern University, where he holds an appointment as Professor Emeritus.  At Northwestern, he served at various times as Associate Professor, Van Zelst Research Professor, Director of the Institute for Modern Communication, Chair of the Department of Communication Studies and Associate Dean for External Programs in the School of Communication.  Prior to his service at Northwestern, he was an Assistant Study Director in the Survey Research Center at the University of Michigan, where he was also Assistant Professor of Sociology and Communication and Director of the Detroit Area Study.  He also has held faculty positions at the University of Illinois, Urbana-Champaign and at Purdue University.  Miller was Editor-in-Chief of Public Opinion Quarterly from 2001 to 2008.  He has held several elective offices in AAPOR, most recently serving as President in 2009-2010.  He received the Harry W. O’Neill Award for Outstanding Achievement from the New York Chapter of AAPOR in 2012.  He was also named a Fellow of the Midwest Chapter of AAPOR in 2012.  His research has included work on interviewer and mode effects in surveys and survey nonresponse.    

Zeina Mneimneh is an Assistant Research Scientist in the Survey Methodology Program within the Survey Research Center, University of Michigan. She holds a PhD in Survey Methodology from University of Michigan. She has more than 15 years of experience in designing, conducting, and overseeing large-scale surveys and is a collaborator in the cross-national World Mental Health survey initiative. Her main operational interests include monitoring surveys using paradata, reducing survey error in conflict-affected settings, and international capacity building. Her main research interests include interview privacy, social desirability effects, adaptive measurement design, interviewer effects, and quality of big data.

Joe Murphy is senior survey methodologist at RTI International. His research focuses on the application of new technologies to improve the quality, relevance, and efficiency of survey research. He also investigates optimal designs for multimode data collection platforms, data visualization, and using social media to supplement surveys.


Raphael Nishimura Raphael Nishimura is Principal Survey Scientist with Abt SRBI. He holds a PhD in Survey Methodology from the University of Michigan and a Bachelor's degree in Statistics from the University of São Paulo. His main research interest includes sampling methods, survey nonresponse and adaptive/responsive designs.


Andy Peytchev is a senior survey methodologist at RTI International. His research interests include study designs that minimize total survey error and is particularly interested in the study, reduction, and adjustment of nonresponse and measurement error. Dr. Peytchev’s recent work includes the evaluation of split questionnaire design, multi-frame and multi-phase study design, development of adaptive and responsive survey designs, augmentation of survey samples with external data and evaluation of their properties, improving weighting adjustments, and imputation for unit nonresponse and measurement error.

Emilia Peytcheva is a research survey methodologist with RTI International.  She holds a PhD. in survey methodology from the University of Michigan.  Peytcheva's research expertise includes measurement error-inducing factors in cross-cultural research and the interplay among survey errors and their combined effect on total survey error.  Her interests include methods for minimizing measurement error induced by the survey questionnaire.

Nancy Riley

Nancy Riley is Professor of Sociology in the Department of Sociology and Anthropology at Bowdoin College (Maine). She received her Ph.D. in demography from Johns Hopkins University. Her research has focused primarily on family, gender, and population in China and uses both quantitative and qualitative data. She recently published Gender, Work, and Family in a Chinese Economic Zone: Laboring in Paradise (Springer 2012), based on fieldwork with married migrant workers in Northeast China and Population in China (Polity 2016). She is currently involved in a project on Chinese experience in Hawai`i drawing from quantitative, ethnographic, interview, and archival data.

Nora Cate SchaefferNora Cate Schaeffer is Sewell Bascom Professor of Sociology and the Faculty Director of at the University of Wisconsin Survey Center. She received a Ph.D. in sociology at the University of Chicago, where she held various positions at the National Opinion Research Center. She has over twenty-five years of experience in survey methodology and instrument design. She has taught instrument design regularly for the Summer Institute and the University of Michigan-University of Maryland Joint Program in Survey Methodology. Her current research focuses on interaction when the sample member is recruited and during the interview.  She has served on the Committee on National Statistics and held offices in American Association for Public Opinion Research and the Section on Survey Research Methods of the American Statistical Association.  In 2010 she was named a Fellow of the American Statistical Association. 

Barry Schouten is a Senior Methodologist in the Division of Methodology and Quality at Statistics Netherlands. Dr. Schouten’s research interests include nonresponse bias, measurement error, mixed-mode surveys, and adaptive or responsive survey design. He is a principal developer of the R-Indicator, a new measure of survey quality that measures how well a set of respondents resembles the sample based on covariates measured on the full sample. He is also developing new, adaptive survey designs in the mixed-mode setting that maximize the R-Indicator while minimizing the risk of measurement error.

Natalie Shlomo is a Professor of Social Statistics at the University of Manchester in the United Kingdom. Her research interests are in survey methodology and official statistics.  She is the UK principle investigator for several collaborative grants from the 7th Framework Programme of the European Union, all involving research in improving survey methods and dissemination. She is an elected member of the International Statistical Institute, an elected council member for the International Association of Survey Statisticians and a fellow of the Royal Statistical Society. She is associate editor of International Statistical Review, Journal of the Royal Statistical Society, Series A, and Journal of Privacy and Confidentiality. She is also a co-editor for the International Association of Survey Statisticians Newsletter. She is a member of several national and international advisory boards, particularly in the area of statistical disclosure control.

Julie Smith holds a Ph.D. in educational evaluation and research from Wayne State University; a M.P.H. in environmental health science from the University of Michigan-Ann Arbor; and a Bachelor’s of Science in physical science and biology from Michigan State University. She is certified to teach secondary education (grades 6-12) in the State of Michigan. Julie has over a decade of experience working in academic (university) and non-profit (museum) institutions as both an internal and external program evaluator; these experiences built upon her previous professional experience in corporate market research. Julie’s areas of expertise include program evaluation and survey research; designing quantitative and qualitative data collection instruments; and in developing appropriate response options to address specific statistical and measurement needs based on study objectives. In addition to quantitative data collection and analysis, she is a trained focus group moderator and interviewer. As an adjunct faculty in the College of Education, Educational Evaluation and Research Department at Wayne State University, Julie has taught graduate-level evaluation, measurement, research and statistics courses. Julie is currently a Research Consultant for SoundRocket, an Ann Arbor based survey research company that specializes in developing and conducting on-line surveys and provides expert consulting for academic institutional research projects and program evaluations.

Yajuan Si is a Research Assistant Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor campus.  She received her Ph.D on Statistical Science in 2012 from Duke University. Before joining the University of Michigan in 2017, Yajuan was an assistant professor jointly in the Department of Biostatistics & Medical Informatics and the Department of Population Health Sciences at the University of Wisconsin-Madison and a Postdoctoral Research Scholar in the Department of Statistics at Columbia University.  Dr Si’s research lies in cutting-edge methodology development in streams of Bayesian statistics, complex survey inference, missing data imputation, causal inference, and data confidentiality protection.  Yajuan has extensive collaboration experiences with health services researchers and epidemiologists to improve healthcare and public health practice, and she has been providing statistical support to solve sampling and analysis issues on health and social science surveys.

Amanda Sonnega is an Assistant Research Scientist in the Survey Research Center at the University of Michigan, where she is responsible for integrating communication, outreach, and education efforts for the Health and Retirement Study. She received her Ph.D. in health psychology from the Johns Hopkins University School of Hygiene and Public Health. She has lectured in the UM School of Public Health teaching Psychosocial Factors in Health-related Behavior. Her current research focuses on institutional and personal factors associated with vulnerability and resilience in aging individuals.

Nick Seewald is a Ph.D. candidate in the Department of Statistics at the University of Michigan. He is a methodologist interested in the design and analysis of randomized trials which enable the construction of effective adaptive interventions. Initially trained as a biostatistician, Nick has experience with analyzing data from multi-center cancer trials, as well as micro-randomized trials in mobile health. He has been teaching researchers about adaptive interventions and SMARTs since 2015. 

Emily Treleaven research examines the effects of population change and social context on children's health and mortality in low- and middle-income countries. She is interested in how migration and urbanization, gender bias, and other social and structural determinants shape care-seeking behaviors, health, and health disparities for children and their families. Her current work includes several projects related to children's health, migration, and community context in South Asia.

Z. Tuba Suzer-Gurtekin is a Research Fellow in the Survey Methodology Program within the Survey Research Center, University of Michigan. She holds a PhD in Survey Methodology from University of Michigan.  Before that, she earned an MS in survey methodology from University of Michigan and an MBA from Western Michigan University. Before focusing on her doctoral studies, she worked in an international consulting company for nine years focusing on survey design and data analysis. Her current research interests include mixed-mode survey inference, sampling and measurement error adjustment methods and respondent driven sampling data analysis.

James Wagner completed a bachelor's degree in political science from Macalester College in 1987, and completed a master's degree in political science from the University of Michigan in 1992. He has over 15 years experience working on surveys. He received his PhD from the Program in Survey Methodology in 2008. He currently is Research Associate Professor in Survey Methodology at the Survey Research Center.

Brady T. West is a Research Associate Professor in the Survey Methodology Program, located within the Survey Research Center at the Institute for Social Research on the University of Michigan-Ann Arbor (U-M) campus. He earned his PhD from the Michigan Program in Survey Methodology in 2011. Before that, he received an MA in Applied Statistics from the U-M Statistics Department in 2002, being recognized as an Outstanding First-year Applied Masters student, and a BS in Statistics with Highest Honors and Highest Distinction from the U-M Statistics Department in 2001. His current research interests include the implications of measurement error in auxiliary variables and survey paradata for survey estimation, survey nonresponse, interviewer effects, and multilevel regression models for clustered and longitudinal data. He is the lead author of a book comparing different statistical software packages in terms of their mixed-effects modeling procedures (Linear Mixed Models: A Practical Guide using Statistical Software, Second Edition, Chapman Hall/CRC Press, 2014), and he is a co-author of a second book entitled Applied Survey Data Analysis (with Steven Heeringa and Pat Berglund), the second edition of which was published by Chapman Hill in June 2017.  Brady lives in Dexter, MI with his wife Laura, his son Carter, his daughter Everleigh, and his American Cocker Spaniel Bailey.