International Population Data Linkage Network (IPDLN) Conference
September 15-18, 2024
Chicago, Illinois
IPDLN is the largest data linkage conference of its kind. It is where researchers from governments, research institutes, and universities share methods and research results from population-level data linkages. At IPDLN conferences, statisticians, computer scientists, social scientists, data scientists, government officials, and service providers nerd out over administrative data linkage methods, infrastructure, ethical/legal issues, and share real-world applications.
IPDLN is actively seeking abstract submissions at https://ow.ly/bc9m50QBgrm.
Submission Deadline is March 1, 2024.
Topic areas include (but are not limited to) the following categories:
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- Data linkage methods
- Data infrastructure and related methods
- Research using real-world data
- Ethical, legal, and social implications.
Examples within those themes are listed on the abstract submission link.
If you have any questions, please call:
Amy O’Hara
812-728-7114 Zoom Room
Massive Data Institute
McCourt School of Public Policy
202-687-2828
Below are a few snippets from past IPDLN conferences (see all of them on ipdln site) to give a sense of what is typically presented.
At the 2022 conference, there were:
Nine talks about census data.
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- Rachel Shipsey, Making the 2022 Rwanda Census count
- Elizabeth Pereira, Analysing linked 2021 Census and Admin data to inform population transformation statistics
- Charlie Tomlin and David Edwards, 2021 Census to Census Coverage Survey Matching Results
- Paul Longley et al, Linkage of historical GB Census data to present day population registers
- Jeremy Foxcroft et al, Linking Eight Decades of Canadian Census Collections
- Isabel Youngs et al, Expectations for the 2020 Decennial Census and How They Stood Up to Scrutiny
- Iain Atherton et al, Palliative care, unpaid care and deprivation in Scotland: a study using census and vital registration data
- Neil Rowland et al, Long-term Exposure to Ambient PM2.5 and Self-Reported Health: Evidence from Longitudinally linked Census Data
Lots of data quality and linkage methods!
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- Rainer Schnell and Severin Weiand, Microsimulation of an educational attainment register to study record linkage quality
- Richard Silverwood et al, Examining the quality and sample representativeness of linked 1958 National Child Development Study and Hospital Episode Statistics data
- David Clark et al, Revisiting the Quality of the Scottish Record Linkage System
- Maria Elstad et al, Evaluation of the reported data linkage process and associated quality issues for linked routinely collected healthcare data in Multimorbidity research: a systematic review
Sessions about Public Engagement, such as:
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- Maria Y. Ichihara et al, Public engagement experiences in research using data administrative linkage to build a Social Disparities Index for Covid-19 in Brazil
- Kim Naude et al, Who is your community? Co-designing a community engagement strategy for an emerging data platform
- Alison Paprica et al, Public Engagement and other Essential Requirements for Data Trusts, Data Repositories and Other Data Collaborations
- Piotr Teodorowski et al, Involvement and engagement of seldom heard communities in big data research
- Krzysztof Adamczyk et al, Give and take? The unexpected benefits of public engagement as an end-in itself social practice in the Aberdeen Children of the 1950s cohort study
Plus real-world applications:
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- Nadine Andrew et al, Chronic disease management improves survival but not hospital presentations: a target trial approach using linked data from the Australian Stroke Clinical Registry
- Christopher Radbone et al, Multijurisdictional Prostate Cancer Registry Linkage
- Gillian Caughey et al, The Registry of Senior Australians: Informing Aged Care Policy Reforms
- Mauro N. Sanchez et al, Linking nationwide health and social registry data to inform the policy for Tuberculosis contact tracing in Brazil