Key topics

The Scientific Committee has selected the following priority topics:

• Sampling methods and techniques
• Weight sharing
• Variance estimation
• Multiple sampling frames
• Estimation and calibration
• Treatment of non-response
• Robust estimation
• Small area estimation
• Multi-mode surveys
• Non-probabilistic samples
• Low response rates and selection bias
• Longitudinal surveys and panels
• Mobility surveys
• Surveys in developing countries
• Massive data
• Integration of data from different sources
• Record matching and statistical matching
• Health / mental health surveys
• Social surveys
• Environmental surveys; carbon footprint estimates
• Surveys of rare or hard-to-reach populations
• Measuring inequalities
• Measurement of well-being and satisfaction
• Measuring and estimating poverty
• New survey tools and techniques (AI in data collection, new data, etc.)
• Modules/software for processing survey data
• Statistical learning and surveys
• Data availability and confidentiality
• Surveys and society
• History of surveys; sociology of quantification
• Teaching surveys and statistics in the age of AI
• Being a data scientist / survey statistician in the age of AI

However, many other topics may be covered during the symposium. For example:                   

• Analysis of survey data
• Confidentiality
• Data validation
• Surveys in developing countries
• Economic surveys
• International surveys
• Marketing surveys
• Estimation of complex parameters
• Audience measurement
• Paradata
• Quality in surveys
• Censuses and administrative files
• Indirect surveys
• Political polls
• Surveys in a multilingual environment
• New collection tools and techniques
• Construction of survey questionnaires
• Survey data analysis software
• Surveys and qualitative studies
• Tools and services for disseminating survey data