BigSurv20 program
Friday 6th November Friday 13th November Friday 20th November Friday 27th November
Friday 4th December
If you would like any of your content to be removed from this program please email: info@bigsurv.org
Friday 27th November
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | How official statistics can benefit from crowdsourced and administrative dataModerator: Stas Kolenikov (skolenik@gmail.com) Citizen science for official statistics: dream or reality? Using geo-located tweets to calibrate citizen science sampling effort and identify inequalities Using administrative data and machine learning to address nonresponse bias in establishment surveys Crowd sourcing: a viable alternative to traditional price data collection methods? Sensor measurements for living and working conditions |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | A paradata paradise: Exploring the collection, use and analysis of paradataModerator: Ana Lucia Cordovar (alcordova@usfq.edu.ec) Putting paradata and visualization to work for field interviewers Increasing survey response rates and decreasing costs by combining numeric and text mining strategies on survey paradata Exploring paradata pathways through web surveys to improve survey design Detecting difficulty in computer-assisted surveys through mouse movement trajectories: A new model for functional data classification |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | Advances in missing data imputation for large social surveysModerator: Kyle Lang (K.M.Lang@tilburguniversity.edu) Multiple imputation for high-dimensional data: A resampling study comparing state-of-the-art methods Hierarchical linear modeling with missing data using Blimp Mass imputation based on combined administrative and survey data: An application to the Dutch population census Sequential imputation with integrated model selection: A novel approach to missing value imputation in high-dimensional (survey) data |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | The integration of machine learning into official statisticsModerator: Claude Julien (cjulien1234@outlook.com) The integration of machine learning into official statistics Case studies on machine learning for editing and imputation Algorithmic choices for sentiment coding of Flemish tweets ABS use of machine learning to classifying addresses use on the Address Register |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Modes of data collection and their effect on data linkage resultsModerator: Ana Lucia Cordovar (alcordova@usfq.edu.ec) How and why does the mode of data collection affect consent to data linkage? Comparing web and telephone surveys with registers data: The case of global entrepreneurship monitor in Luxembourg PC versus mobile survey: are people’s subjective evaluations comparable? Fieldwork conditions, sample quality, and the reliability of dried blood spot samples What can be predicted from a national health survey? Is cancer one of them? |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Big data enhancements to surveys: Methods and toolsModerator: Stas Kolenikov (skolenik@gmail.com) Linking Twitter and survey data: Quantity and its impact Using big data for sampling design and weighting applications: Quantitative user research at Twitter Evaluating data quality in the UK probability-based online panel Photos instead of text answers: An experiment within a housing survey |