Hello! The call for abstracts is now open for the International Population Data Linkage Network (IPDLN) conference in Chicago, IL on September 15-18 2024. We welcome the submission of abstracts for oral, poster, and rapid fire presentations. Abstracts selected for the conference will be posted on the IPDLN website, and published in the International Journal of Population Data Science (IJPDS).
Please visit the IPDLN.org conference website for more information and the link to submit your abstract by March 1, 2024. Our themes include, but are not limited to, the following:
Data linkage methods (DLM) - Methodological developments, including software and algorithm development, privacy enhancing techniques, linkage quality assessments, and novel uses of AI.
Data Infrastructure and related methods (INF) - Addressing the challenges of cross-sectoral and cross-jurisdictional data linkage, featuring integrated and federated systems, tiered access mechanisms including data enclaves, automating data quality assessments, and interoperability.
Research using real-world data (RWD) - Innovative use of linked datasets to measure outcomes in health, housing, justice, education, transportation, and environment domains; analyses of demographic characteristics, including race, ethnicity, sexual orientation and gender identity; insights related to post-Covid-19 research; and program evaluations.
Ethical, legal and social implications (ELSI) - Research on responsible and legal uses of population data, including public engagement and involvement; data governance; collecting and incorporating user feedback; AI considerations when using population data; and communities of practice.