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The ESRA MSS - SIG

The European Survey Reserch Association (ESRA) Multisource Statistics Special Interest Group (MSS) brings together researchers and practitioners interested in the theory, methods, and applications of survey research that combine multiple data sources. 

As survey research increasingly operates in a complex data ecosystem, integrating probability-based surveys with administrative records, digital traces,  non-probability samples, and other non-traditional data sources has become essential for improving inference and for studying phenomena that cannot be adequately measured by a single data source. The MSS-SIG provides a forum for exchange, collaboration, and methodological advancement within ESRA’s core mission.

Topics

The MSS-SIG focuses on, but is not limited to, the following topics:

• Integration of different data sources, including surveys, administrative data, registers, and digital trace data

• Inference using multiple data sources, with attention to bias, variance, and uncertainty propagation

• Inference with non-probability samples, including calibration, weighting, and model-based approaches

• Integrating surveys and digital traces, such as web data, social media, sensor data, and paradata

• Data integration methods, such asrecord linkage and statistical matching

• Quality assessment and validation in multi-source settings

• Ethical, legal, privacy and governance challenges in combining data sources

For more information about ESRA-SIGs click here.