Program BigSurv20


Friday 6th November Friday 13th November Friday 20th November Friday 27th November
Friday 4th December

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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 data

Moderator: Stas Kolenikov ([email protected])
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Citizen science for official statistics: dream or reality?
Olav ten Bosch (Statistics Netherlands) - Presenting Author
Sofie de Broe (Statistics Netherlands)
Kris Vanherle (TML Leuven)
Ben Laevens (Ministry of Economic Affairs and Climate Policy, the Netherlands)

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Using geo-located tweets to calibrate citizen science sampling effort and identify inequalities
Jonathan Kent (Universitat Pompeu Fabra) - Presenting Author



Using administrative data and machine learning to address nonresponse bias in establishment surveys
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Benjamin Küfner (Institute for employment research (IAB)) - Presenting Author
Joseph Sakshaug (Institute for employment research (IAB))
Stefan Zins (Institute for employment research (IAB))

Crowd sourcing: a viable alternative to traditional price data collection methods?
Halfdan Lynge (Wits School of Governance) - Presenting Author

Sensor measurements for living and working conditions
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Barry Schouten (Statistics Netherlands and Utrecht University)
John Bolte (The Hague University of Applied Sciences) - Presenting Author



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 paradata

Moderator: Ana Lucia Cordovar ([email protected])
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Putting paradata and visualization to work for field interviewers
Brad Edwards (Westat) - Presenting Author
Victoria Vignare (Westat)
Susan Genoversa (Westat)



Increasing survey response rates and decreasing costs by combining numeric and text mining strategies on survey paradata
Sudip Bhattacharjee (University of Connecticut, US Census Bureau) - Presenting Author
Ugochukwu Etudo (University of Connecticut)
Nevada Basdeo (US Census Bureau)



Exploring paradata pathways through web surveys to improve survey design
Renee Ellis (U.S. Census Bureau) - Presenting Author

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Detecting difficulty in computer-assisted surveys through mouse movement trajectories: A new model for functional data classification
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Amanda Fernández-Fontelo (Chair of Statistics, School of Business and Economics, Humboldt-Universität zu Berlin, Germany) - Presenting Author
Felix Henninger (Mannheim Centre for European Social Research, University of Mannheim, Germany)
Pascal J. Kieslich (Mannheim Centre for European Social Research, University of Mannheim, Germany; Experimental)
Frauke Kreuter (Mannheim Centre for European Social Research, University of Mannheim, Germany; University of Maryland, College Park, Maryland, USA; Institute for Employment Research, Mannheim, Germany)
Sonja Greven (Chair of Statistics, School of Business and Economics, Humboldt-Universität zu Berlin, Germany)

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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 surveys

Moderator: Kyle Lang ([email protected])
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Multiple imputation for high-dimensional data: A resampling study comparing state-of-the-art methods
Edoardo Costantini (Tilburg University) - Presenting Author
Kyle Lang (Tilburg University)



Hierarchical linear modeling with missing data using Blimp
Brian Keller (University of Texas) - Presenting Author

Mass imputation based on combined administrative and survey data: An application to the Dutch population census
Sander Scholtus (Statistics Netherlands) - Presenting Author
Jacco Daalmans (Statistics Netherlands)

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Sequential imputation with integrated model selection: A novel approach to missing value imputation in high-dimensional (survey) data
Micha Fischer (University of Michigan) - Presenting Author

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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 statistics

Moderator: Claude Julien ([email protected])
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The integration of machine learning into official statistics
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Wesley Yung (Statistics Canada) - Presenting Author
Hugh Chipman (Acadia University)
Siu-Ming Tam (Australian Bureau of Statistics)

Case studies on machine learning for editing and imputation
Anneleen Goyens (Flemish institute for technological research (VITO)) - Presenting Author
Bart Buelens (Flemish institute for technological research (VITO))
Fabiana Rocci (Italian National Institute of Statistics)
Roberta Varriale (Italian National Institute of Statistics)
Florian Dumpert (Federal Statistical Office of Germany (Destatis))

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Algorithmic choices for sentiment coding of Flemish tweets
Michael Reusens (Statistics Flanders) - Presenting Author
Marc Callens (Statistics Flanders)
Ann Carton (Statistics Flanders)
Dries Verlet (Statistics Flanders)

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ABS use of machine learning to classifying addresses use on the Address Register
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Daniel Merkas (Australian Bureau of Statistics) - Presenting Author
James Farnell (Australian Bureau of Statistics)
Debbie Goodwin (Australian Bureau of Statistics)

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 results

Moderator: Ana Lucia Cordovar ([email protected])
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How and why does the mode of data collection affect consent to data linkage?
Annette Jackle (University of Essex) - Presenting Author
Jonathan Burton (University of Essex)
Mick Couper (University of Michigan)
Thomas Crossley (European University Institute)
Sandra Walzenbach (University of Essex)



Comparing web and telephone surveys with registers data: The case of global entrepreneurship monitor in Luxembourg
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Cesare Riillo (STATEC reseaserch ) - Presenting Author

PC versus mobile survey: are people’s subjective evaluations comparable?
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Francesco Sarracino (STATEC research)
Cesare Riillo (STATEC research) - Presenting Author
Malgorzata Mikucka (MZES, Mannheim University (Germany), and Universite Catholique de Louvain)

Fieldwork conditions, sample quality, and the reliability of dried blood spot samples
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Axel Börsch-Supan (Max Planck Institute for Social Law and Social Policy)
Luzia Weiss (Max Planck Institute for Social Law and Social Policy) - Presenting Author
Martina Börsch-Supan (SHARE-ERIC)
Rebecca Groh (Max Planck Institute for Social Law and Social Policy)

What can be predicted from a national health survey? Is cancer one of them?
Yigit Aydede (Saint Mary's University) - Presenting Author



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 tools

Moderator: Stas Kolenikov ([email protected])
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Linking Twitter and survey data: Quantity and its impact
Tarek Al Baghal (University of Essex)
Alex Wenz (University of Mannheim) - Presenting Author
Luke Sloan (Cardiff University)
Curtis Jessop (NatCen)

Using big data for sampling design and weighting applications: Quantitative user research at Twitter
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Xian Tao (Twitter) - Presenting Author

Evaluating data quality in the UK probability-based online panel
Olga Maslovskaya (University of Southampton) - Presenting Author
Gabriele Durrant (University of Southampton)
Curtis Jessop (NatCen)

Photos instead of text answers: An experiment within a housing survey
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Goran Ilic (Utrecht University)
Peter Lugtig (Utrecht University)
Joris Mulder (CentERdata, Tilburg University)
Barry Schouten (Statistics Netherlands and Utrecht University) - Presenting Author
Maarten Streefkerk (CentERdata, Utrecht University)