2024 Conference

December 11, 2023

Call for Abstracts
2024 International Population Data Linkage Network Conference  

Submission of abstracts for oral, poster, and rapid fire presentations are welcome. The Call for Abstracts is now open. The submission deadline for abstracts is March 1, 2024. 

The conference sub-themes build on those from the previous biennial IPDLN conferences and include innovations in population data science and linkage; privacy, and governance including public engagement; advanced data analytics and infrastructure; and policy impact across domains and disciplines.  IPDLN members come from a wide range of jurisdictions and professional backgrounds allowing for a unique exchange of best practices, novel approaches, and leading-edge research across topics in linked population data science and policy impact.

To view full abstract submission guidelines and the entire list of themes, login to Oxford Abstracts.

The 2024 International Population Data Linkage Network (IPDLN) Conference will be held at the Fairmont Chicago, Millenium Park, in Chicago, Illinois, USA on September 15-18. 



December 10, 2023

Call for Pre- and Post-conference Workshops
2024 International Population Data Linkage Network Conference

IPDLN is inviting proposals for Pre- and Post-conference Workshops that facilitate instruction and discussion of issues and topics in the areas of linked population data science and policy impact. The submission deadline for workshop proposals is February 29, 2024. For details and instructions for submitting your proposal, view the Call for Workshops.

October 23, 2023

Save the Date! 
Announcing the 2024 International Population Data Linkage Network Conference

September 15-18, 2024
Chicago, IL USA

Kick off the conference on September 15th with a welcome reception. Then join us for conference workshops, presentations, and discussions throughout the week September 16-18. Post-conference tours, special events, and meetings will take place on September 19. The conference will take place at the Fairmont Chicago, Millenium Park, at 200 North Columbus Drive, Chicago, IL 60611, USA. 

The call for abstracts will open in December 2023 with registration opening in February 2024.

Learn about Sponsorship Opportunities here.

Watch this space for more about the 2024 IPDLN conference. If you have any questions in the meantime, please email info@ipdln.org or join the IPDLN Crowd community to share news and questions.

Not an IPDLN member? Sign up here.




Meet the Directors

Amy O'Hara, PhD is a Research Professor in the Massive Data Institute and Executive Director of the Federal Statistical Research Data Center at the McCourt School for Public Policy, Georgetown University, Washington, D.C., USA. She also leads the Administrative Data Research Initiative, improving secure, responsible data access for research and evaluation. Amy addresses risks involved with data sharing by connecting practices across the social, health, computer, and data sciences. Her research focuses on population measurement, data quality, and record linkage. 

Abel Kho, MD, MS, FACMI, is Tenured Professor of Medicine and Preventive Medicine in the Feinberg School of Medicine at Northwestern University in Chicago, IL, USA. He is Founding Director of the Institute for Artificial Intelligence in Medicine (I.AIM) and Director of the Center for Health Information Partnerships (CHIP) within the Institute for Public Health and Medicine.  Abel’s research has focused on how to link and analyze data efficiently across sites while preserving individual and institutional privacy. His work brings people, data, and tools together to enable the success of students, researchers, and community partners.

Dennis Culhane, PhD is a social science researcher with primary expertise in the area of homelessness and assisted housing policy. Most recently, Dennis's research has focused on using linked administrative data to gain a better understanding about the service utilization patterns of vulnerable populations. Dennis also co-directs Actionable Intelligence for Social Policy (AISP), an initiative that promotes the development, use, and innovation of integrated data systems by states and localities for policy analysis and systems reform.


Host Universities