Robert A. Moffitt
Robert Moffitt is an economist and demographer known for his research on social policy, welfare programs, poverty, family structure, labor markets, income volatility, and applied statistical methods. Moffitt was born in Houston, Texas, where he grew up. He graduated from Rice University with a B.A. in Economics in 1970 and from Brown University with a Ph.D. in economics in 1975. He started off at Mathematica Policy Research and then taught at Rutgers University, Brown University, and then at Johns Hopkins University, where he has a joint appointment in Economics and the Bloomberg School of Public Health. He has been President of the Population Association of America and President of the Society of Labor Economists. He is a Fellow of the Econometric Society, a Fellow of the Society of Labor Economists, a member of the National Academy of Sciences, a recipient of a MERIT Award from the National Institutes of Health, a recipient of a Guggenheim Fellowship, and a Fellow of the American Academy of Arts and Sciences. He was Chief Editor of the American Economic Review, Coeditor of the Review of Economics and Statistics, and Chief Editor of the Journal of Human Resources. He currently serves on the Advisory Board for a new synthetic data file of tax information for the Urban Institute and the U.S. Department of Treasury.
Dr. Amy Pienta is a Research Scientist and Director of Business and Collection Development at ICPSR. She is also a research/faculty affiliate of the Michigan Center on the Demography of Aging, the Population Studies Center, the Michigan Institute for Data Science, and the Center for Global Health Equity at the University of Michigan. At ICPSR, she directs several largescale federally-funded data infrastructure projects that include the broad dissemination of confidential and/or restricted-use data using various modes of secure access. Dr. Pienta has studied women's retirement behavior, the joint retirement behavior of married couples, and the relationship between various social statuses and health using a wide range of data sources including both the Survey of Income and Program Participation and the Health and Retirement Study. She earned her Ph.D. in Sociology from the SUNY Buffalo and completed a National Institute on Aging postdoctoral fellowship in the Population Research Institute at the Pennsylvania State University. Pienta chairs the research advisory board for the Qualitative Data Repository at Syracuse University, and co-chairs the social sciences subsection of the COVID-19 Working Group within the Research Data Alliance which includes establishing disclosure review practices for COVID-19 data.
Natalie Shlomo (BSc, Mathematics and Statistics, The Hebrew University; MA, Statistics, The Hebrew University; PhD, Statistics, The Hebrew University) is Professor of Social Statistics at the University of Manchester. Before that, she was Senior Lecturer in the 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. She is a survey statistician with interests in adaptive survey designs, data linkage and integration, non-probability sampling designs, small area estimation and statistical disclosure control. She is a Fellow of the Academy of Social Sciences in the United Kingdom, an elected member of the International Statistical Institute (ISI) and a Fellow of the Royal Statistical Society. She is currently President-Elect 2021-2023 of the International Association of Survey Statisticians and will serve as President in 2023-2025. Natalie also serves on editorial boards and is a member of scientific methodology advisory boards for National Statistics Institutes in the United Kingdom, Italy and Canada. She was the UK principle investigator for several collaborative grants from the European Union, all involving research on improving survey methods and dissemination. She was also Principal Investigator on grants in the United Kingdom and is currently the Principal Investigator on advancing the use of administrative data in official statistics funded by the Economic and Social Research Council. She has over 65 journal articles and refereed book chapters.
Aleksandra (Sesa) Slavkovic
Aleksandra (Seša) Slavkovic is a Professor of Statistics & Public Health Sciences, and Associate Dean for Graduate Education in Eberly College of Science at Penn State. She held visiting scholar positions at Cornell University, University of California Berkeley, University of Minnesota and Utrecht University. Her research focuses on methodological developments in the area of data privacy and confidentiality in the context of small and large scale surveys, health, genomic, and network data, including differential privacy and broad data access that offers guarantees of accurate statistical inference needed to support reliable science and policy. Slavkovic is associate editor of the Annals of Applied Statistics and Journal of Privacy and Confidentiality, and editor for the Statistics and Public Policy. She served as a chair of the ASA Privacy and Confidentiality committee, and is the current Chair for the ASA Social Statistics Section, and serves on a half dozen advisory committees. She is a fellow of the American Statistical Association, Institute of Mathematical Statistics and the International Statistical Institute. She received her PhD (2004) and M.S. (2001) in Statistics, and a Master of Human-Computer Interaction (1999) from Carnegie Melon University. She received her B.A. in Psychology from Duquesne University (1996). She served on NAS Committee on National Statistics’ Panel on Measuring and Collecting Pay Information from U.S. Employers by Gender, Race, and National Origin, and NRC, Transportation Research Board. Expert Task Group (ETG) on Data Access for Safety Data.
Dr. Heeju Sohn is currently an Assistant Professor of Sociology at Emory University with graduate training in Demography (Ph.D.) and Information Engineering (M.Eng). Dr. Sohn completed her NIH-funded (K99/R00) postdoctoral training at UCLA’s Health Policy and Management and California Center for Population Research. Her research examines how unequal safety-nets exacerbates health and social disadvantages among marginalized and vulnerable groups in the United States. Her work directly addresses knowledge gaps stemming from limited data by developing new methods to combine and analyze openly available data sources. An ongoing project quantified key outcomes—health and rates of deportation—among undocumented immigrants living in the United States by leveraging data from the Survey of Income and Program Participation, Los Angeles Family and Neighborhood Survey, and the Survey of Migration at the North Border of Mexico ((EMIF, [Encuesta sobre Migración en la Frontera Norte de México]). Dr. Sohn has also worked as an expert consultant to the United Nations on estimating mortality patterns in data-sparse contexts such as armed conflicts and severe disasters.
Salil Vadhan is the Vicky Joseph Professor of Computer Science and Applied Mathematics in the Harvard School of Engineering and Applied Sciences. His research in theoretical computer science spans computational complexity, cryptography, and data privacy. His work on data privacy includes numerous results delineating the border between what is possible and impossible with differential privacy, with recent work more focused on bringing differential privacy to practice. For the past decade, Vadhan has led the Harvard Privacy Tools Project, a broad effort to advance a multidisciplinary understanding of data privacy issues and build computational, statistical, legal, and policy tools to help address these issues in a variety of contexts. He co-founded and co-directs OpenDP, a community effort to build trustworthy, open-source software tools for statistical analysis of sensitive private data with the strong protections of differential privacy. Vadhan is a Simons Investigator and an ACM Fellow, and has received a Godel Prize, a Guggenheim Fellowship, a Bowden Award for Outstanding Research in Privacy-Enhancing Technologies, and the ACM Doctoral Dissertation Award. He received his PhD in Applied Mathematics from MIT in 1999. He serves without compensation on two advisory boards: the Validation Server Advisory Board at the Urban Institute and for the Abdul Latif Jameel Poverty Action Lab (J-PAL) Innovations in Data and Experiments for Action (IDEA) Initiative.
Jennifer Van Hook
Jennifer Van Hook is Roy C. Buck Professor of Sociology and Demography at the Pennsylvania State University, and non-resident fellow at the Migration Policy Institute. Her research focuses on the demographics of immigrant populations and the socioeconomic integration of immigrants and their children. She received the Clifford C. Clogg Award for Mid-Career Achievement in 2016 and was elected to the Sociological Research Association in 2019. She is currently the Vice President of the Population Association of America. She received her Ph.D. in sociology at the University of Texas-Austin in 1996. She served on the NASS panel “Reengineering the SIPP” from 2007 to 2009.