ESRA 2027 sessions by theme

Survey methodology and survey practice - 1. Questionnaire design, testing and measurement

Survey methodology and survey practice - 2. Online, mobile, and app-based surveys

Survey methodology and survey practice - 3. Mixed-mode designs and mode effects

Survey methodology and survey practice - 4. Fieldwork processes, including responsive and adaptive designs

Survey methodology and survey practice - 5. Life-tracking and sensor-based data collection methods: Bluetooth technologies, near-field communication, smart surveys, and web scraping.

Survey methodology and survey practice - 6. Citizen Science

Survey methodology and survey practice - 7. Collecting biomarkers and other specimen data within surveys

Survey methodology and survey practice - 8. Analysing, monitoring and reducing Total Survey Error; using paradata to evaluate survey quality

Survey methodology and survey practice - 9. Interviewers and interviewer effects

Survey methodology and survey practice - 10. Cross-national and cross-cultural survey methods

Survey methodology and survey practice - 11. Survey experiments and causal inference

Survey methodology and survey practice - 12. Data management, processing, and open science

Survey methodology and survey practice - 13. Longitudinal survey design and analysis

Survey methodology and survey practice - 14. Proxy responses

Survey methodology and survey practice - 15. Nonresponse, survey participation, and survey climate

Survey methodology and survey practice - 16. Survey costs, value, and the economics of survey design

Survey methodology and survey practice - 17. Mixed methods: integrating qualitative and quantitative approaches

Survey methodology and survey practice - 18. Market research

Survey statistics - 1. Probability and non-probability sampling

Survey statistics - 2. Spatial sampling and use of remote sensing data

Survey statistics - 3. Missing data imputation

Survey statistics - 4. Weighting approaches including survey calibration

Survey statistics - 5. Small area estimation under non-probability and probability sampling

Survey statistics - 6. Data integration methods (statistical matching and record linkage) with a particular focus on how to integrate new forms of data with traditional data sources

Survey statistics - 7. How new forms of data can be used for population-size estimation

Survey statistics - 8. More on post data collection processing such as coding and editing; related errors and how to take these into account

Survey statistics - 9. Imputation approaches

Inclusive data collection and analysis in survey research - 1. Sampling and recruitment strategies for hard-to-reach, marginalised, and minority populations

Inclusive data collection and analysis in survey research - 2. Multilingual survey design and cross-cultural questionnaire development

Inclusive data collection and analysis in survey research - 3. Measuring gender identity, sexual orientation, and other diverse identities

Inclusive data collection and analysis in survey research - 4. Accessibility in surveys (e.g., disabilities, digital exclusion, cognitive accessibility, literacy barriers)

Inclusive data collection and analysis in survey research - 5. Ethical issues in inclusive data collection and sensitive identity measurement

Inclusive data collection and analysis in survey research - 6. Participatory and community-engaged approaches to survey design and dissemination

Inclusive data collection and analysis in survey research - 7. Weighting, calibration, and adjustment methods for underrepresented populations

Inclusive data collection and analysis in survey research - 8. Case studies and applications of inclusive survey methods in official statistics and social research

Inclusive data collection and analysis in survey research - 9. Survey research in conflict, crisis, and humanitarian contexts

Inclusive data collection and analysis in survey research - 10. Capacity building and survey research in low-income contexts

Inclusive data collection and analysis in survey research - 11. Analytical challenges with small and underrepresented subgroups

Data governance: documentation, archiving, and access - 1. Privacy, confidentiality and consent

Data governance: documentation, archiving, and access - 2. Data security and access

Data governance: documentation, archiving, and access - 3. Survey data harmonization: ex-ante and ex-post approaches

Data governance: documentation, archiving, and access - 4. Open data, FAIR principles, and data sharing

Data governance: documentation, archiving, and access - 5. Reproducibility, transparency, and open science in survey research

Data governance: documentation, archiving, and access - 6. Data infrastructures and resources

Data governance: documentation, archiving, and access - 7. Data archiving, preservation, and long-term access

Artificial Intelligence and automated methods in survey research - 1. AI-assisted questionnaire design, translation, and pretesting

Artificial Intelligence and automated methods in survey research - 2. Synthetic respondents and synthetic data

Artificial Intelligence and automated methods in survey research - 3. AI interviewers and conversational survey agents

Artificial Intelligence and automated methods in survey research - 4. Automated coding and processing of open-ended responses

Artificial Intelligence and automated methods in survey research - 5. AI in data analysis

Artificial Intelligence and automated methods in survey research - 6. Machine learning for weighting, imputation, and estimation

Artificial Intelligence and automated methods in survey research - 7. AI in fieldwork management and adaptive survey operations

Artificial Intelligence and automated methods in survey research - 8. AI in survey project management and workflow automation

Artificial Intelligence and automated methods in survey research - 9. AI for dissemination, reporting, and public engagement with survey data

Artificial Intelligence and automated methods in survey research - 10. Evaluating, auditing, and benchmarking AI tools in survey research

Artificial Intelligence and automated methods in survey research - 11. Ethics, transparency, and accountability in AI-assisted survey research

Artificial Intelligence and automated methods in survey research - 12. Bot detection and fraudulent responses in online surveys, including LLM-generated data

Substantive applications of survey research in the social and behavioural sciences - 1. Substantive applications of survey research in the social and behavioural sciences