18/08/2026
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IASS Webinar: ๐๐จ๐ฆ๐๐ข๐ง๐ข๐ง๐ ๐๐ฎ๐ฅ๐ญ๐ข๐ฉ๐ฅ๐ ๐๐๐ญ๐ ๐๐จ๐ฎ๐ซ๐๐๐ฌ ๐ฎ๐ฌ๐ข๐ง๐ ๐๐ญ๐๐ญ๐ข๐ฌ๐ญ๐ข๐๐๐ฅ ๐๐จ๐๐๐ฅ๐ข๐ง๐
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27 August 2026 | 14:00โ15:30 CEST | Free to attend ๐ค
๐ถ๐-๐ ๐๐๐๐ ๐๐๐๐ ๐๐ฆ: ๐๐๐ โ๐๐๐๐ก๐๐ ๐๐ก๐๐ก๐๐ ๐ก๐๐๐๐ ๐๐๐๐๐๐ก๐ฆ (๐๐๐) & ๐๐ข๐๐ฃ๐๐ฆ ๐
๐๐ ๐๐๐๐โ ๐๐๐กโ๐๐๐ ๐๐๐๐ก๐๐๐ (๐๐
๐๐) ๐๐ ๐กโ๐ ๐ด๐๐๐๐๐๐๐ ๐๐ก๐๐ก๐๐ ๐ก๐๐๐๐ ๐ด๐ ๐ ๐๐๐๐๐ก๐๐๐ (๐ด๐๐ด)
Demand for diverse socio-economic, agricultural and health statistics is surging, yet survey organisations must navigate increasingly tight budgets. The rise of diverse data sources, including administrative records, geospatial data, non-probability surveys and AI-generated data, offers new opportunities to tackle complex statistical challenges. This webinar explores how statistical modelling can combine multiple data sources to extract high-value insights, covering precise granular estimates, multivariate analyses, reducing non-sampling errors in probability samples, and mitigating self-selection bias in non-probability data. The session concludes with a look at recent developments in poverty mapping, showing practical solutions of critical interest to national and international statistical organisations.
๐ค Presented by: Partha Lahiri, Professor, Joint Program in Survey Methodology and Department of Mathematics, University of Maryland College Park; President of the International Association of Survey Statisticians (IASS); globally recognised expert in Small Area Estimation.
Register here: https://isi-web.org/webinar/iass-combining-multiple-data-sources-using-statistical-modeling