Scientific Programme

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Call for Papers

The workshop invites contributions on methodological and applied aspects of survey sampling in modern data environments. Topics include, but are not limited to:

• Survey sampling design, stratification, clustering, multi-stage and rotation sampling
• Adaptive and responsive survey designs and modern data collection strategies
• Sampling frames, coverage diagnostics, and frame maintenance
• Nonresponse mechanisms, response propensity modelling, and use of paradata
• Survey estimation methods: weighting, calibration, model-assisted estimation, and variance estimation
• Treatment of missing data: imputation and machine-learning approaches
• Integration of survey data with administrative registers and alternative data sources
• Data fusion and combining probability and non-probability samples
• Small area estimation, spatial methods, and domain estimation
• Machine learning and AI applications in survey statistics
• Automated workflows and reproducible pipelines for survey production
• Quality assessment, total survey error, and methodological challenges in modern survey statistics

Draft programme