Join us in Rotterdam for the 2026 IPDLN Conference!
Join us in Rotterdam for the 2026 IPDLN Conference!
Thank you to everyone who joined us for the IPDLN Conference in the United States for the first time. The event offered opportunities to network, collaborate, and expand knowledge of the data linkage world.
Half-day and full-day workshops on September 15th, 16th, and 19th feature interactive programming that complements the conference themes.
Activities were planned for delegates to deepen connections, learn about Chicago, and have some fun.
Home to world-class food and drink, stunning architecture, and 178 diverse neighborhoods, Chicago is a town with a distinct sense of personality and history.
Activities have been planned for delegates to deepen connections, learn about Chicago, and have some fun. Book early to reserve your space.
Half-day and full-day workshops take place on September 15th, 16th, and 19th and will feature interactive programming that complements the conference themes. The Schedule will be shared as soon as it’s available.
Synthetic Data, Common Data Models and Federation: Holy Trinity or unholy mess? |
Data Linking Practice in Selected Data Systems of USA DHS and DOJ |
Exploring Data Linkage Methods Using Large-Scale Simulated Data |
Ethics, Data Governance, Knowledge Production, and Public Engagement in Population Data Science: The Brazilian Experience |
Communicating for Impact: Finding the Story in Your Research |
Live Research Dialogue on the Benefits, Costs, and Utility of Synthetic Data for Researchers |
Opportunities for Cross-Country Comparisons of Linked Administrative Education and Health Data |
Turning Research Ideas into Reality: A Guide to Developing a Simulated Research Protocol using Administrative Data |
Developing Public Engagement Strategies for Administrative Data Research Studies |
The ARC Life Course Center International Data for Policy Workshop |
An Introduction to Data Visualization: Communicating Data with Efficacy and Elegance |
Leveraging Full Count Census Data through Record Linkage |
Estimating Correlations and Causal Relationships with Linked Data Sources |
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Learn from presenters, network with like-minded colleagues, and enjoy Chicago attractions