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 13th November
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | Can we make computers "think" like us?Moderator: Amelia Burke-Garcia (burkegarcia-amelia@norc.org) Thinking like a computational social scientist: Organising thoughts and organising data Download presentation The (ro)bots are coming! detecting, preventing, and remediating bots in surveys Representativeness and weighting of web archive data Topic Identification in Web Archives Can recurrent neural networks code interviewer question-asking behaviors across surveys? |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | Volume and/or value?! Improving data quality in the era of big dataModerator: John Finamore (jfinamor@nsf.gov) Big data: big claims or bigger calamities? Getting real about survey research in the fourth era How worried should we be? The implications of fabricated survey data for political analysis Exploring precision farming data: A valuable new data source for official statistics? Multilevel Multiple Imputation in Big and Complex Administrative Data Both sides of the story: Combining student-level data on reading performance from administrative registers with data from a reading app |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | I'm sensing there's another APP for that too!Moderator: Jan Karem Hoehne (hoehne@uni-mannheim.de) An end-to-end statistical process with mobile network data for Official Statistics Using a mobile app when surveying highly mobile populations: Panel attrition, consent and interviewer effects in a survey of refugees The Combination of survey and health app data: Sharing behavior, quality assessment, and validation of survey-based health indicators Giving respondents a choice: does it increase sharing of sensor data? |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | Embrace the trace? Exploring digital trace data 1Moderator: Trent Buskirk (Trent.Buskirk@umb.edu) Better understanding when and how social media posts can augment public opinion surveys Fully Automated and localized opinion polling: Real-time measurement of support for Brexit via Twitter Gender portrayal on instagram Identifying depression related behaviour in Facebook – an experimental study Someone to call on: studying social ties in action |
| 10:00 - 11:30 (ET, GMT-5) 7:00 - 8:30 (PT, GMT-8) 16:00 - 17:30 (CET, GMT+1) | Responsive design using external information and modern predictionModerator: Michael Elliot (mrelliot@umich.edu) Improving Bayesian prediction of daily response propensity in responsive design with data-driven priors Alternative modeling approaches to predicting costs in a responsive design framework Leveraging expert opinion and external data to improve prediction of daily response propensity in a Bayesian framework for responsive survey design Towards a fully integrated responsive survey design methodology Explaining and predicting web survey response with time-varying factors and incidental data |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | I'm sensing there's even more APPs for that!Moderator: Jan Karem Hoehne (hoehne@uni-mannheim.de) Mind the gap: Addressing missingness both small and large in longitudinal GPS data Smartphone-based travel surveys: An example of controlled data fusion Using linked survey, administrative and geospatial data to measure exposure to and the impacts of the 2019/20 Australian bushfires Multiple imputation techniques to handle visibility bias in count data with excess zeros |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Embrace the trace? Exploring digital trace data 2Moderator: Trent Buskirk (trent.Buskirk@umb.edu) Combining digital traces and survey data to study media effects: A mobile lab approach Visits to fake news sites: Who goes and how did they get there? Integrated web tracking and surveys to study selective exposure to news by populist radical right party supporters Linking web tracking and survey data to improve the study of online pornography consumption |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Ethical challenges in the era of big dataModerator: John Finamore (jfinamor@nsf.gov) Consenting respondents in the age of digital media: Considerations for survey researchers Consent to link Twitter data to survey data: A comprehensive assessment Different measurements of attitudes towards misconduct in science: Neutralizations, implicit association and direct questions |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Using alternative data sources and innovative methods to improve the National Survey of College GraduatesModerator: John Voorheis (john.l.voorheis@census.gov) Reducing panel survey attrition with big administrative data Evaluating administrative records as a potential sample frame for the national survey of college graduates Combating nonresponse: The progression of a survey data collection strategy using multiple methods and data sources Using the longitudinal employer-household dataset to inform measurement error properties of national survey of college graduates estimates |
| 11:45 - 13:15 (ET, GMT-5) 8:45 - 10:15 (PT, GMT-8) 17:45 - 19:15 (CET, GMT+1) | Official statistics in the era of big dataModerator: Sofie de Broe (smmg.debroe@cbs.nl) Updating the paradigm of official statistics: New quality criteria for integrating new data and methods in official statistics Evaluating and improving a text classifier for subpopulations: the case of cyber crime Detecting innovative companies via the text on their website Understanding the difference in freight transport estimates with and without road sensor data Inferring a transport network from road sensor data without a sampling design |