Workshops

The Chitwan Valley Family Study (CVFS) is a comprehensive community and family panel study in Nepal that follows all family members wherever they move with exceptional measurement of the social environment. The CVFS is among very few whole family panel studies, following a general population sample, and measuring changes in the experiences of each family member. This design enables research on parents and children, siblings, husband-wife marital dynamics, and migrants, including international migrants. Subjects measured in the CVFS include land use and the natural environment; household production and consumption; full histories of education, work, marriages, and childbearing; sex and contraceptive use; child health; mental health; migration; and attitudes and beliefs. This workshop provides an overview of the CVFS and updates new and current users on the latest CVFS data resources, their potential uses, and tutorials and tools available to begin working with CVFS data.

Read full proposal.
Add to registration.

The Survey of Income and Program Participation (SIPP) is the Census Bureau’s premier source of information for income and program participation in the U.S. This workshop focuses on the latest SIPP data, the 2018 SIPP Panel (covering 2017-2020 calendar years), and its applications for researchers and demographers. It also provides a hands-on introduction to weighting and estimation. This workshop is aimed at researchers of all experience levels: those who have never used SIPP, experienced SIPP data users, and those who simply want to learn more about the
survey.

Read full proposal.
Add to registration.

Presented by the Committee on Applied Demography

The U.S. Census Bureau implemented a new Disclosure Avoidance System (DAS) based on differential privacy (DP) to protect respondent information in the published 2020 Census data products. The 2020 Census DAS protects confidentiality by infusing small amounts of "noise" (error) into published tabulations. While the magnitude of this privacy-preserving error is generally small, it can impact fitness-for-use of the resulting data for particular use cases, especially for analyses focusing on very small geographic areas or demographic subgroups.

This session will provide census data users with the information and resources they need to be able to assess the fitness-for-use of 2020 Census data for their specific, individual applications and use cases, and to be able to adapt their statistical analyses accordingly. Special attention will be paid to the comparative magnitude of DP noise vs. other known sources of error (e.g., coverage and operational error), the known properties of DP noise distributions, and the sources and implications of biases that can arise from the 2020 Census DAS post-processing of the privacy-protected data prior to tabulation. The guidance and resources on assessing fitness-for-use provided in this course will cover major demographic and statistical use cases for both person and household data from the 2020 Census Demographic and Housing Characteristics (DHC) file (the 2020 Census successor file to the SF1 from prior censuses), and for both published and user-defined geographic areas.

Read full proposal.
Add to registration.

IPUMS disseminates full count census enumerations for nine census years from 1850 to 1940. These full count data cover almost 700 million individual records and have opened the possibility of automated record linkages across census years to construct millions of individual life histories and trace millions of families over multiple generations. The IPUMS Multigenerational Longitudinal Panel (MLP) project links individuals' records across censuses. IPUMS MLP currently delivers crosswalks that link individual records in full count historical census data between censuses from 1850 to 1940. Those linking keys will soon be available through the IPUMS USA data access system, allowing users to more efficiently select and subset samples of full count data. We are also developing links to administrative data, including the Social Security NUMIDENT, that will be used to enhance the census linkages in subsequent versions of the data.

Read full proposal.
Add to registration.

In the era of evidence-based policy, the evidence is crucial. While there have been attempts to generate and gather evidence, relatively little attention has been paid to the quality of evidence. This field of enquiry remains under-researched in most developing countries. In research methodology courses, which are a part of curricula in these countries, the discussion is largely confined to introduction to statistical techniques and tools and sources of data. There is hardly any discussion on the quality of data. Even training programmes and capacity building workshops do not pay attention to this issue. As a result, young researchers often do not consider it worthwhile to invest their time and efforts in examining data quality. The proposed workshop seeks to sensitise researchers, young faculty members, and data journalists to the possible sources of inaccuracies and errors in censuses, which form the bedrock of the official statistical system, and sample surveys. The methods to evaluate the quality of data will
form the mainstay of the discussion.

Read full proposal.
Add to registration.

*This workshop is from 1:00pm to 4:00pm.

The organizers are research scientists in the Laboratory of Digital and Computational Demography at the Max Planck Institute for Demographic Research (MPIDR) in Germany and they are all active in the research area of Migration and Mobility.

Jisu holds a PhD in Data Science from Scuola Normale Superiore in Italy. She has been working on exploring and establishing novel methods to improve relevant statistics of international migration using social media data. Her research focuses on the intersection of migration sciences, economics of migration, complex social networks, statistical models and data-driven algorithms.

Ebru holds a PhD in Public Policy and Administration from Bocconi University in Italy. During her PhD, she specialized on demography and migration, completing her dissertation on the digital and computational approaches to migration studies. Her research interests are use of digital data in migration studies and demography, big data in migration studies and computational methods for the analysis of migration and mobility patterns.

Read full proposal.
Add to registration.

The workshop will be run by staff from CLS, which is based at the Social Research Institute, UCL Institute of Education. This workshop will give both first-time and more experienced data users an insight into four of the
UK’s internationally renowned cohort studies run by the Centre for Longitudinal Studies (CLS):

• 1958 National Child Development Study;
• 1970 British Cohort Study;
• Millennium Cohort Study;
• Next Steps (previously known as the Longitudinal Study of Young People in England).

Read full proposal.
Add to registration.

The US Panel Study of Income Dynamics (PSID) is the world’s longest-running longitudinal household panel study. It is used in the fields of demography, economics, sociology, public health, and public policy to investigate individual and family socioeconomic status, health, and well-being in longitudinal and intergenerational contexts. This workshop familiarizes new and prospective users with the design, content, and applications of the main PSID interview and two youth-centered supplements: The Child Development Supplement (CDS) and Transition into Adulthood Supplement (TAS). One segment of the workshop will introduce the available genomic data collected from CDS children age 0-17 years and their primary caregivers, as well as upcoming biomarker collections. The workshop also provides a hands-on introduction to data access, key data files, and user education resources.

Read full proposal.
Add to registration.

Power shifting is taking place across the field of research to acknowledge adequately the contributions of collaborators, to increase the capacity of others outside of research institutions in the Global North to engage meaningfully in research (question formulation, grant-seeking, study design, analysis, writing), and to bring historically marginalized individuals to the table as contributors and not just beneficiaries. Demographic research is often conducted in collaboration with community-based groups in the United States as well as with other researchers and implementers in the Global South. The power dynamics often present in these relationships demands to be addressed as the field seeks to “decolonize knowledge.” PAA 2023 attendees engaged in research with (or about) historically marginalized individuals could benefit from examining the dynamics that need to change to shift/share power by supporting a broader range of individuals to participate in the most prestigious parts of the research process.

Read full proposal.
Add to registration.

Presented by the Committee on Population Statistics 

With the goal of improving the quality and usefulness of Federal race and ethnicity data, earlier this year the Chief Statistician of the United States convened a new Federal Interagency Technical Working Group. The Working Group is evaluating existing research and engaging with the public, scientific and policy communities, and Federal agencies. They will develop recommendations for the U.S. Office of Management and Budget on several topics, including whether there should be changes to the reporting categories for race and ethnicity and to questions used to collect information on race and ethnicity. This PAA workshop will convene representatives of the Interagency Technical Working Group along with population researchers with expertise in the measurement and analysis of race and ethnicity. There will be presentations to provide an overview of the Working Group’s process and on key topics that the group considered. The first expected outcome of the Working Group process is a proposal to revise the guidelines for Federal race and ethnicity data. This process should be complete by the time of the PAA Annual Meeting in mid-April 2023, providing the opportunity for workshop participants to provide feedback to Working Group members on their proposed changes.

See the agenda. (PDF)

Read full proposal.
Add to registration.