2022 Workshops

PAA is pleased to present the following workshops at PAA 2022.  These workshops were developed by PAA Members to help you further your skills and understanding on a variety of topics.  We are very grateful to these generous members for their time and expertise.

Half-day workshops are $100 and full-day workshops are $200.  These fees offset the cost of producing the workshops including audio-visual costs, food and beverage, and some lodging for the presenters.

If you would like to attend a workshop, please add it to your registration.

Wednesday, April 6
Full Day Workshop (8 AM - 5 PM)

Population dynamics are central to achieving sustainable development goals. It is critical to have scientific evidence from population studies underpin development policies and programs. But science application to development efforts at times faces a number of barriers that includes lack of quality, relevant research that meets the needs of decision-makers. In addition, studies have shown that in some cases, researchers lack capacity and expertise needed to expand scope and space for science in decision-making processes. However, there is a growing number of scientists from North and South that are applying conventional models in different contexts to successfully influence evidence use in development. The overall objective of the workshop is to foster dialogue and highlight requisite skills necessary to making population data accessible and relevant. The workshop will provide a platform for North-South exchange between population scientists on effective tools and approaches in engaging policymakers to influence decisions and policies. With the use of case studies, participants will learn of successful models that population scientists can use to support policymakers to use evidence effectively in order to achieve sustainable development goals in different contexts.

The workshop will contribute towards building a network of population scientists in different continents championing evidence use in different spaces and platforms. We hope to initiate long lasting collaborations to build synergies and document lessons on the different models that work in having evidence from population studies inform development policies.

The workshop is based on a research communication policy training program that PRB and AFIDEP have implemented over a period of four years. The organizers have combined years of experience working to bridge the gap between evidence and policy. They have also facilitated numerous workshops, trainings and mentored researchers to become champions in making science relevant for development.

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Presenters:

  • Dr. Rose Oronje, PhD, Director, Public Policy & Communications, AFIDEP
  • Bernard Onyango, PhD, Senior Research & Policy Analyst, AFIDEP
  • Angeline Yiamiton Siparo, Senior ESA Regional Advisor/Snr Country Director Kenya, Population Reference Bureau
  • Elizabeth Kahurani, Policy Engagement & Communications Manager, AFIDEP
  • Gaye Agesa, Senior Regional Communications Manager, Population Reference Bureau

Wednesday, April 6
Morning Workshops (8 AM - Noon)

This session is designed to explore the demographic, finance, and geographic data that are available to data users for their education-related research questions. The goal of this session is to expose data users to data they may not have previously known, show the data users how to access and use the data, and discuss different applications of the data. Questions like "Where are schools located", "What is the race makeup of children in a particular School District", and "How much are states spending per pupil" all can be answered in this session. Data users should leave the session ready to explore and use the data on their own. More Details


Presenters:
  • Douglas Geverdt, Study Director Education Demographic and Geographic Estimates, NCES
  • Stephen Cornman, Senior Survey Director over Financial Surveys, NCES
  • Emily Schondelmyer, Branch Chief - Education Demographic, Geographic and Economic Statistics, US Census Bureau
  • Malia Howell, Section Chief, Education Finance Branch
  • Stephen Wheeler, Section Chief, Education Finance Branch
In this workshop, we discuss methods for drawing causal inferences when analyzing observational rather than experimental data. We present a variety of estimators for average treatment effects (ATEs) and average treatment effects on the treated (ATETs) and discuss when each estimator is useful. Throughout the workshop, we cover the conceptual and theoretical underpinnings of treatment effects and demonstrate the methods with many practical examples worked using Stata software.

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Presenter: Enrique Pinzon
Enrique is the Associate Director of Econometrics at StataCorp. He is on the statistical development team at StataCorp, teaches a variety of Stata courses, and is a frequent contributor to the Stata blog. Pinzon holds a master's degree in economics from the Universidad de los Andes and a PhD from the University of Wisconsin–Madison.

There is now a widely held consensus that more transparent research provides better outcomes for individual researchers, for scientific communities, and for society at large. Most efforts towards transparent research to date have focused on quantitative research and the data that underpin it. The demand for scientific transparency, however, is equally relevant to qualitative research and data, even though sharing qualitative data poses unique challenges, both logistically and ethically. Qualitative researchers, therefore, may want to share their data and make their work more transparent, but lack the tools and resources to do so successfully.

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Presenters
  • Sebastian Karcher, Associate Director, Qualitative Data Repository
  • Alicia VandeVusse, Senior Research Scientist, Guttmacher Institute
  • Lori Frohwirth, Senior Research Associate, Guttmacher Institute
  • Jennifer Mueller, Research Associate, Guttmacher Institute

Wednesday, April 6
Afternoon Workshops (1 PM - 5 PM)

The 2020 Census Data Product workshop will provide attendees an in-depth understanding of two major 2020 Census data products, the Demographic and Housing Characteristics File (DHC) and the Detailed Demographic and Housing Characteristics File (Detailed DHC). To mitigate the increased risk of identifying individuals in published statistics, the Census Bureau has been implementing a new disclosure avoidance methodology based on differential privacy while still meeting data user needs. During this workshop, attendees will learn how the implementation of differential privacy has impacted the design of 2020 Census data products and understand the privacy/accuracy trade-offs that were made along the way. The workshop will include an overview of the proposed 2020 Census data products, an examination of the processes that developed the DHC and Detailed DHC proposals, results from efforts to balance accuracy and privacy, and how data user comments have been used throughout this effort. Conference attendees with all levels of Census knowledge are encouraged to attend, bring a laptop to participate in activities (optional), and learn more about this important effort.

Presenters:

  • Alexandra Krause, U.S. Census Bureau
  • Jason Devine, U.S. Census Bureau
  • Matthew Spence, U.S. Census Bureau
  • Nicholas Jones, U.S. Census Bureau

Understanding data and effectively presenting results are challenges that applied quantitative researchers face most every day. There is seldom a more effective solution than a well thought out visualization. Problems in the data are easily identified; complex effects are quickly summarized; effect sizes and variability are immediately clear. In this workshop, we will cover best practices for accurately representing data as well as many specific approaches to data exploration, model diagnostics, and model presentation. The focus is on the applied analyst’s “bread and butter” types of visualizations: those I suspect will be useful in most every quantitative research project. Topics covered will range from exploratory data analysis techniques to methods for presenting complex model results. Template Stata code will be provided to workshop participants allowing participants to reproduce all workshop examples.

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Presenter: Trenton D. Mize, Assistant Professor of Sociology & Advanced Methodologies, Purdue University
In this workshop, we aim to introduce two types of big data, i.e., Google Trends and Twitter data. This workshop will be a great opportunity for the researchers in the study of migration but also demography in general to get familiar with two popular sources of data. We plan to begin the session by introducing the data format, related literature, empirical findings, advantages, and critical challenges of such data. We then plan to have more interactive sessions on how to retrieve these data and write and search inquiries.

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Presenters:

  • Jisu Kim, Max Planck Institute for Demographic Research
  • Ebru Sanliturk, Max Plan Institute for Demographic Research
The US Panel Study of Income Dynamics (PSID) is the world’s longest-running active 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 early release of newly available genomic data collected from CDS children aged 0-17 years and their primary caregivers. The workshop also provides a hands-on introduction to data access, key data files, and user education resources.

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Presenters:

  • Paula Fomby, Ph.D., Co-Investigator of PSID, Associate Director of the PSID Child Development Supplement, and Research Associate Professor, Institute for Social Research, University of Michigan
  • Narayan Sastry, Ph.D., Associate Director of PSID, Director of the PSID Child Development Supplement and the PSID Transition into Adulthood Supplement, and Research Professor at the Institute for Social Research, University of Michigan
  • Noura Insolera, Ph.D., Research Investigator & Education and Outreach Lead, PSID
In this tutorial, attendees will consider the challenges involved in informing their human participants the possibility of sharing the data generated through research interactions with them, and in the actual sharing of those data. Attendees will be invited to discuss how they have sought to address those challenges, and how they and other scholars could work to mitigate them. The organizers will guide the structured discussion on the basis of their ongoing work with various institutional stakeholders in the academic ecosystem (e.g., Institutional Review Boards [IRBs], funders, publishers) as well as scholars from multiple academic disciplines. They will also introduce and discuss recommended practices for the ethical sharing of human participant data in different research and data sharing scenarios.  The model of a research data lifecycle will be explained as a useful way to organize data management steps at each phase of a typical research project. Key challenges that emerge in
the interactive conversation will be summarized according to project phase and relevant resources / decision trees / information tools will be suggested for each category.

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Presenters:
  • Dessi Kirilova, Senior Curation Specialist, Qualitative Data Repository
  • Diana Kapiszewski, Provost's Distinguished Associate Professor of Government at Georgetown University
The COVID-19 pandemic upended many aspects of our lives, including how we spend our time. Demographic and population science researchers are likely eager to use the ATUS to explore changes in daily behavior and interactions. However, data collection for the American Time Use Survey (ATUS), the most appropriate data source for measuring changes in time use in the United States, was interrupted by social distancing conditions related to the pandemic. This has created several challenges regarding data analysis. This workshop will provide 1) an introduction to the ATUS; 2) demonstrations of data access tools that streamline the research process; 3) an overview of data analysis challenges related to the Covid-19 pandemic; and 4) practice analyzing the 2020 ATUS. After the workshop, participants will be comfortable navigating IPUMS ATUS, a harmonized version of the original ATUS data, creating IPUMS customized data extracts, including creating custom variables that summarize different types of activities, using our online data analysis tool, and understanding data analysis challenges related to 2020 data.

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Presenters:
  • Liana C. Sayer, University of Maryland
  • Sarah M. Flood, University of Minnesota
This workshop will provide an overview of the literature on using bibliometric data for demographic research and potential research projects and some of the newest bibliometric applications.  Participants will be introduced to available data sources, especially publicly available data, handling bibliometric data for demographic research: data retrieval, data pre-processing, and repurposing based on research questions.  Then, they will discuss the potential limitation and future directions of bibliometric data in demographic research

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Presenters:

  • Aliakbar Akbaritabar, Max Planck Institute for Demographic Research (MPIDR)
  • Xinyi Zhao, Max Planck Institute for Demographic Research (MPIDR)

Full Day
The Role of Population studies in development policies and programs: North to South Dialogue on models that work

AM Workshops
  • Accessing and Using NCES and Census Education Finance, Demographic, and Geographic Data
  • Causal Inference and Treatment Effects Using Stata
  • Qualitative data transparency with the Qualitative Data Repository
  • Using Bibliometric Data in Demographic Research
PM Workshops
  • 2020 Census Data Product Workshop
  • Data Visualization & Model Presentation in Stata
  • Introduction to Social Media and Big Data for Migration Studies
  • Panel Study of Income Dynamics Workshop for New and Prospective Users
  • Transparent Population and Demography Studies: Sharing Human Participant Data Responsibly
  • Using ATUS 2020 Data to Investigate COVID-19 influences on Daily Behaviors and Interactions