About the Population Dynamics Lab
The Population Dynamics Lab (PDL) is an open science forum currently hosted at the University of Washington’s Center for Studies in Demography & Ecology. PDL is a new online platform for connection and collaboration within the demographic research community. Its aim is to provide tools and evidence for understanding the distribution and change in human wellbeing at the population level. These tools and evidence are peer-reviewed in real time and rapidly made available to address developing events, advance demographic science and increase popular understanding of population processes and change.
The lab welcomes submissions addressing all areas of demography. Currently, it prioritizes submissions that advance science and insights at the intersection of demography, data science, and health. The Population Dynamics Lab operates with commitments to open science, to reproducibility, and to the power of peer-feedback and community engagement in methodological and theoretical advancements. The Population Dynamics Lab is intended to reach academic and public scholars, industry researchers, students, and professionals interested in open demographic sciences.
With new technologies and data products releasing very quickly, the PDL aims to be a platform where researchers can explore new ideas, get early, scientific feedback from a research community, and learn about current and ongoing work of others in demography and data science. The lab welcomes submissions addressing all areas of demography, but prioritizes submissions that advance science and insights at the intersection of demography, data science, and health.
While submissions are targeted for work at early stages of the research process, those submissions should include enough information about scope, data, and methods to be fairly and constructively critiqued by peers. PDL creates a space for scientists to contribute to the advancement of demography and population science in three main ways: writing a submission, providing peer-review and otherwise commenting on others’ submissions, and forging connections and collaborations with other researchers. Readers can provide comment, ask questions or otherwise communicate with authors via public comment on submissions.
There are two types of products posted with each submission: one for The Denominator blog and one for The Download blog. The Denominator blog post is a technical and methodologically detailed contribution written for a demographic research audience to be published on The Denominator blog. The purpose of the post is to share a new technical or methodological development OR a new insight about an established method or methods with a demographically knowledgeable audience. These contributions include equations, reproducible code, tables or figures, and sample or synthetic data. The Download blog post is a single figure, visualization, or table that illustrates the fundamental insight resulting from the contribution to The Denominator. This illustration is accompanied by a brief description of the findings and practical insight and written for a general audience to be published on The Download blog.
Work published through the Population Dynamics Lab is licensed with [insert] and all citations and use of tools and data from the Population Dynamics Lab should be attributed in the following way: […]
By sharing their work on this site, scientists are agreeing to make it available to a wide audience, collaborate, receive feedback, and, when warranted, provide timely revisions and updates. They are also available for public comments from the media or other inquiries.
Current Editorial Team
University of Washington’s Center for Studies in Demography & Ecology
Partial support for this research came from a Eunice Kennedy Shriver National Institute of Child Health and Human Development research infrastructure grant, P2C HD042828, and training grant, T32 HD101442-01, to the Center for Studies in Demography & Ecology at the University of Washington, along with a Shanahan Endowment Fellowship provided by the University of Washington’s Graduate School.