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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

Submission Deadline is March 1, 2024.

Topic areas include (but are not limited to) the following categories:

    • 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


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. 

    • 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! 

    • 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:

    • 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:

    • 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