I2SC Lecture Series (Recording): Édith Darin (Demographic Science, University of Oxford) Statistical innovation for population estimation: integrating administrative records, geospatial data, and real-time streams

Date: February 6, 2026

Abstract:

Reliable subnational population estimates are essential for effective governance, service provision, and humanitarian response, yet many low- and middle-income countries lack recent or comprehensive census data. This talk explores emerging strategies for estimating population counts when traditional sources are unavailable. I will focus on the integration of diverse and incomplete data sources—including administrative records (e.g., health, education), satellite imagery, and geospatial covariates—combined through Bayesian modeling frameworks to generate high-resolution estimates. In the second part of the talk, I will extend these methods to the problem of nowcasting population distributions in crisis contexts, including forced displacement and conflict. Here, I will explore the utility of real-time or near real-time data streams—such as mobile phone metadata, satellite-derived indicators, and social media signals—for capturing rapid demographic shifts at fine spatial and temporal scales. Throughout the talk, I will emphasize not only the technical and methodological advances enabled by the digital data but also the ethical considerations around data use, privacy, and representation. 

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