BigSurv18 Program

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Friday 26th October


08:00 - 18:30

Room: 30.SV01 HALL

Registration and Information Desk

08:30 - 17:30

Room: 30.S02 S. Expo

Posters 1 (actively presented from 11.30 to 13.00)

These posters are the result of the Barcelona Dades Obertes Data Challenge organized by the city of Barcelona. For more information on the institutions and the data challenge please see:
Poster Title High School
Investigating Complaints in GraciaInstitut Vila de Gràcia
Social Cohesion and Type of NeighborhoodInstitut Ferran Tallada
Free WI-FI Points in BarcelonaInstitut Juan Manuel Zafra
Access to Housing in BarcelonaInstitut Joan Brossa
A Study of Traffic Accidents in BarcelonaInstitut J. Serrat i Bonastre
WI-FI PointsInstitut Josep Comas i Solà


Chair: Antje Kirchner (RTI)

Count Regression Modelling on Number of Migrants in Households
Tsedeke Lambore Gemecho (PhD Student) - Presenting Author
Ayele Taye Goshu (Associate Professor of Statistics )

Testing Analytical Methods Related With the Unstructured Data Analysis From Perspective of ‘Data Scientists and Methodologists’
Piotr Tarka (Poznan University of Economics and Business, Department of Market Research) - Presenting Author

A Joint Modelling Approach in SAS to Assess Association Between Adult and Child HIV Infections in Kenya
Elvis Muchene (University of Nairobi) - Presenting Author

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Comparison of Artificial Neural Networks and Generalized Linear Models for NBA Outcomes
Shan Wang (Northeastern Illinois University) - Presenting Author
William Johnson (Northeastern Illinois University)

From Data Points to Data Dan: Combining Log Analysis: Survey Analysis and Interviews to Segment Google Analytics Customers
Laura Eidem (N/A) - Presenting Author
Yinni Guo (N/A)
Sundar Sdorairaj (N/A)

SurveyMotion: What Can We Learn From Sensor Data About Respondents' Actions in Mobile Web Surveys?
Jan Karem Höhne (University of Göttingen) - Presenting Author
Stephan Schlosser (University of Göttingen)

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Measuring the Official Statistics Capability of the Public-Sector Organizations in Presence of Big Data Sources
Wasim Syed (National College of Business Administration and Economics, Lahore, Pakistan) - Presenting Author

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Spatial Influence in Basque Country's Hotels Price
Ander Juarez Mugarza (Eustat) - Presenting Author
Asier Badiola Zabala (Eustat)
Jorge Aramendi Rique (Eustat)

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Recognizing Patterns in the Price Time-Series of the Basque Country Hotels
Asier Badiola Zabala (EUSTAT) - Presenting Author
Ander Juarez Mugarza (EUSTAT)
Jorge Aramendi Rique (EUSTAT)

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A Cross-Sectional vs. Longitudinal Case Study of Twitter and Presidential Approval
Robyn Ferg (University of Michigan) - Presenting Author
Johann Gagnon-Bartsch (University of Michigan)
Fred Conrad (University of Michigan)

Developing an Effective Procurement Performance Data Approach for Predicting Expectations Gaps in Construction Contracts at District Local Governments In Uganda
Charles Kalinzi (PhD Student-Makerere University) - Presenting Author
Joseph Ntayi (Makerere University Business School)
Moses Muhwezi (Makerere University Business School)
Levi Kabagambe (Makerere University Business School)

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Income Inequality Through People's Lenses: Evidence From the OECD Compare Your Income Web-Tool
Carlotta Balestra (OECD) - Presenting Author
Guillaume Cohen (OECD)

08:30 - 09:30

Room: 30.S01 Auditori

Plenary: Big Data, Surveys and the Privacy-Ethics Challenge: An Interdisciplinary Panel Discussion

This special plenary session on "Big Data, Surveys and the Privacy-Ethics Challenge: An Interdisciplinary Panel Discussion," is organized and moderated by Dr. Frauke Kreuter. The plenary features Dr. Julia Lane, a professor at the NYU Center for Urban Science and Progress; Bianca Marcu, the advocacy and standards services coordinator at ESOMAR; and Dr. Karsten Weber, an expert with a background in computer science and ethics who focuses, particularly on the ethics of technology, information ethics, and the Internet’s social impacts.

For more information on
- Dr. Frauke Kreuter, please visit: http://sswml.uni-mannheim.de/Team/Frauke Kreuter/
- Dr. Julia Lane, please visit: http://www.julialane.org/
- Bianca Marcu, please visit: https://www.linkedin.com/in/bianca-marcu-273893133/
- Dr. Karsten Weber, please visit: https://hps.hs-regensburg.de/wek39793/doku.php?id=en:about

Chair: Frauke Kreuter (IAB, University of Mannheim, University of Maryland)

08:00 - 20:30

Room: 40.033

Nursing Room available

09:30 - 09:45

Room: 30.S02 S. Expo

Break

09:45 - 11:15

Room: 40.004

Classifieds: Coding Open-Ended Responses Using Machine Learning Methods

Chair: Malte Schierholz (Institute for Employment Research (IAB))

Automated Topic Modeling for Trend Analysis of Open-Ended Response Data
In review process for the special issue
Reuben McCreanor (SurveyMonkey) - Presenting Author
Laura Wronski (SurveyMonkey)
Jack Chen (SurveyMonkey)

Natural Language Processing for Open-Ended Survey Questions
Cong Ye (American Institutes for Research)
Rebecca Medway (American Institutes for Research)
Claire Kelley (American Institutes for Research) - Presenting Author

Automatic Classification of Open-Ended Questions: Check-All-That-Apply Questions
In review process for the special issue
Matthias Schonlau (University of Waterloo) - Presenting Author
Hyukjun Gweon (University of Illinois)

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Democracy in Writing: Comparing the Meaning of Democracy in Open-Ended Survey Responses and in Big Online Text Data
Jonas Linde (University of Bergen) - Presenting Author
Stefan Dahlberg (University of Bergen and University of Gothenburg)
Magnus Sahlgren (RISE SICS)

09:45 - 11:15

Room: 40.008

Peering through Transition Lenses: New Landscapes and Horizons for Survey Research and Social Science

Chair: Zeeshan-ul-hassan Usmani (MiSK Foundation)

The Future Is Now: How Surveys Can Harness Social Media to Address 21st-Century Challenges
Final candidate for the monograph
Amelia Burke-Garcia (Westat) - Presenting Author
Brad Edwards (Westat)
Ting Yan (Westat)

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New Paradigms in Online Declarative Data Collection
Kamil Wais (7N) - Presenting Author

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Mixed Methods Approaches to Programmatic Social Science Research in Applied Setting
Kate Johnson-Grey (Google)
Molly Delaney (Google) - Presenting Author

Statistical Inference Aided by Big Data
Masahiko Aida (Civis Analytics) - Presenting Author

09:45 - 11:15

Room: 40.105

Leveraging Big Data for Improving Health Research… the Initial Visit

Chair: Charlie Knott (RTI International)

Mapping Behavioral Influencers in the Pharmaceutical Industry
Elizabeth Rountree (Charles River Associates)
Rob Sederman (Charles River Associates)
Michael Roy (Charles River Associates)
Kristen Backor (Charles River Associates) - Presenting Author
Erika Sloan (Charles River Associates)
Greta Olesen (Charles River Associates)

Predicting Depression Occurrence Using Classification Algorithm in Data Mining
Abdur Rahman (Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh) - Presenting Author
Kanis Ferdushi (Assistant Professor, Department of Statistics, Shahjalal University of Science and Technology, Sylhet, Bangladesh)

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Assessing Community Health Using Imagery From Google Street View
Final candidate for the monograph
Pablo Diego-Rosell (Senior Researcher, Gallup, Inc.) - Presenting Author
Rajesh Srinivasan (Director of Research, Gallup, Inc.)
Ben Dilday (Data Scientist, Gallup, Inc.)
Stafford Nichols (Research Consultant, Gallup, Inc.)

Smartphone Interrupted Sleep: A New Public Health Challenge? High-Resolution Smartphone Data From Denmark
Naja Rod (Section of Epidemiology, University of Copenhagen) - Presenting Author
Agnete Dissing (Section of Epidemiology, University of Copenhagen)
Alice Clark (Section of Epidemiology, University of Copenhagen)
Thomas Gerds (Section of Biostatistics, University of Copenhagen)
Rikke Lund (Section of Social Medicine, University of Copenhagen)

09:45 - 11:15

Room: 40.109

Big Data, Little Error? Assessing the Total Error of Survey Estimates in the Era of Big Data

Chair: Ashley Amaya (RTI International)

Total Error Frameworks for Hybrid Estimation and Their Applications
Final candidate for the monograph
Paul Biemer (RTI International) - Presenting Author
Ashley Amaya (RTI International)

Understanding the Effects of Record Linkage on Estimation of Total When Combining a Big Data Source With a Probability Sample
Benjamin Williams (Southern Methodist University) - Presenting Author
Lynne Stokes (Southern Methodist University)

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Income Data Linkage in the Swiss Context: What Can We Learn Regarding Different Error Sources?
Boris Wernli (FORS) - Presenting Author
Nicolas Pekari (FORS)
Georg Lutz (FORS)

Combining Administrative Data and Survey Samples for the Intelligent User
Phillip Kott (RTI International) - Presenting Author

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09:45 - 11:15

Room: 40.213

More Than Words Can Say: Leveraging Data Science Methods to Get the Full Story about Survey Respondents

Chair: Gabriele Durrant (University of Southampton)

Combining High-Volume Paradata With Survey Data to Understand Respondent, Instrument, and Interviewer Effects on Response Latencies
Patrick Sturgis (University of Southampton) - Presenting Author
Gabi Durrant (University of Southampton)
Olga Maslovskaya (University of Southampton)
Ian Brunton-Smith (University of Surrey)

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Eight Seconds From Opine to Click – Respondent and Question Effects on Response Times in a Large-Scale Web Panel
Oliver Serfling (Faculty of Society and Economics, Rhine-Waal University of Applied Sciences) - Presenting Author

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Using Paradata to Interpret an Autoforward Experiment
Jeldrik Bakker (Statistics Netherlands) - Presenting Author
Marieke Haan (University of Groningen)
Peter Lugtig (Utrecht University)
Barry Schouten (Statistics Netherlands / Utrecht University)

Research-Driven Product Development With Surveys, Big Data, and Machine Learning: A Google AdWords Case-Study
Inna Tsirlin (Google) - Presenting Author
Soeren Preibusch (Google)

09:45 - 11:15

Room: 40.035 S. Graus

Are the Machines Making the Mark? Applications to Compare Traditional and Machine Learning Models

Chair: Curtis Signorino (University of Rochester)

Empirical Comparison of Time Series Data Mining Algorithms
Sakinat Folorunso (Olabisi Onabanjo University) - Presenting Author
Abass Taiwo (Olabisi Onabanjo University)
Timothy Olatayo (Olabisi Onabanjo University)

Real-Time Estimation of Unemployment With Dynamic Factor and Time-Varying State Space Models
Franz Palm (Maastricht University)
Stephan Smeekes (Maastricht University)
Jan van den Brakel (Statistics Netherlands)
Caterina Schiavoni (Maastricht University) - Presenting Author

Machine-Learning Techniques for Family Demography: An Application to the Divorce Determinants in Germany
Bruno Arpino (Universitat Pompeu Fabra) - Presenting Author
Marco Le Moglie (Bocconi University)
Letizia Mencarin (Bocconi University)

Comparison of Simple and Complex Predictive Models Applied to the National Surveys on Drug Use and Health. Example of Multiple Visits to Emergency Departments.
Georgiy Bobashev (RTI International) - Presenting Author
Li-Tzy Wu (Duke University)

11:15 - 11:30

Room: 30.S02 S. Expo

Coffee Break

11:30 - 13:00

Room: 40.105

Big Data Enhancements to Surveys: Methods and Tools

Chair: Niklas M. Loynes (NYU / University of Manchester)

When Behavioral Data Isn't Enough: Mixing Survey, Log, and Usability Data for a Holistic Understanding of User Experience
Jessica Cornick (Facebook) - Presenting Author
Alexandra Sullivan (Facebook)
Lan Guo (Facebook)
Adam Sage (Facebook)

Using a Large GPS Dataset to Enhance Survey Matching
Ryan McShane (Southern Methodist University) - Presenting Author

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A Case Study of Processing Large Scale Data – A Method to Accomplish Reproducibility
Inga Brentel (Research Associate at Institute of Social Science, Heinrich-Heine-University Düsseldorf, Germany) - Presenting Author
Olaf Jandura (Professor at Institute of Social Science, Heinrich-Heine-University Düsseldorf, Germany)
Kristi Winters (Research Associate at GESIS Leibniz-Institute for Social Science in Cologne, Germany)

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11:30 - 13:00

Room: 40.109

Ok Google - Is Siri Busy? Innovating With Mobile Phone Data?

Chair: Annette Jäckle (University of Essex)

Performance and Sensitivities of Home Detection on Mobile Phone Data
Final candidate for the monograph
Maarten Vanhoof (Open Lab, Newcastle University and Orange Labs France) - Presenting Author
Clement Lee (Open Lab, Newcastle University)
Zbigniew Smoreda (Orange Labs France)

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More Than Meets the Eyes: Complementing Surveys With Mobile Phone Digital Data Trail
Ivano Bison (University of Trento) - Presenting Author
Mattia Zeni (University of Trento)
Matteo Busso (University of Trento)
Enrico Bignotti (University of Trento)
Fausto Giunchiglia (University of Trento)
Giuseppe Veltri (University of Trento)

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Methodological Implications of Device-Related Error Sources in Integrating Smartphone Sensor Data and Survey Data
Nejc Berzelak (University of Ljubljana, Faculty of Social Sciences) - Presenting Author
Uroš Podkrižnik (University of Ljubljana, Faculty of Social Sciences)
Vasja Vehovar (University of Ljubljana, Faculty of Social Sciences)

Complementing Official Statistics With Mobile Phone Data
Lino Galiana (INSEE) - Presenting Author
Benjamin Sakarovitch (INSEE)
Zbigniew Smoreda (Orange Labs)

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Mobile Phone Data for Official Statistics: Elements for a Production Framework
C. Alexandru (Romanian National Institute of Statistics (INSSE))
E. Coudin (Institut National de la Statistique et des Etudes Economiques (INSEE))
M. Debusschere (Belgian National Statistical Institute (Statistics Belgium))
M.E. Esteban (Spanish National Statistics Institute (Statistics Spain –INE))
S. Kienzle (Statistisches Bundesamt (DESTATIS))
O. Nurmi (Finnish National Statistical Institute (Statistics Finland))
B. Oancea (Romanian National Institute of Statistics (INSSE); University of Bucharest)
P. Piela (Finnish National Statistical Institute (Statistics Finland))
D. Salgado (Spanish National Statistics Institute (Statistics Spain –INE)) - Presenting Author

11:30 - 13:00

Room: 40.150

Ethical Considerations for Using Big Data I: Exploring the Ethics of Data Linkage

Chair: Henning Silber (GESIS - Leibniz Institute for the Social Sciences)

Attitudes Towards Data Linkage, Privacy, Ethics, and the Potential for Harm
Final candidate for the monograph
Aleia Fobia (U.S. Census Bureau) - Presenting Author
Jennifer Childs (U.S. Census Bureau)
Casey Eggleston (U.S. Census Bureau)

Public Confidentiality Expectations Regarding Data Linkage
Jennifer Childs (U.S. Census Bureau) - Presenting Author
Casey Eggleston (U.S. Census Bureau)
Aleia Fobia (U.S. Census Bureau)

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Evaluating Survey Consent to Social Media Linkage
Zeina Mneimneh (University of Michigan) - Presenting Author
Colleen McClain (University of Michigan)
Lisa Singh (Georgetown University)
Trivellore Raghunathan (University of Michigan)

Privacy-Preserving Methods for Linking Big Data and Survey Data Sets
Rainer Schnell (University of Duisburg-Essen) - Presenting Author
Christian Borgs (University of Duisburg-Essen)

Determinants of Consent to Administrative Records Linkage in Next Steps - A Large-Scale Longitudinal Cohort Study in the U.K.
Darina Peycheva (Centre for Longitudinal Studies – UCL Institute of Education) - Presenting Author
George Ploubidis (Centre for Longitudinal Studies – UCL Institute of Education)
Lisa Calderwood (Centre for Longitudinal Studies – UCL Institute of Education)

11:30 - 13:00

Room: 40.154

Putting Text into Context: Exploring Classification and Automation of Textual Survey Data

Chair: Matthias Schonlau (University of Waterloo)

A comparison of automatic algorithms for occupation coding
Malte Schierholz (Institute for Employment Research (IAB)) - Presenting Author

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How to Make AI do Your Job for Statistical Classification of Industry and Occupation
Jukka Kärkimaa (Statistics Finland) - Presenting Author
Liisa Larja (Statistics Finland)

Topic Modeling and Status Classification Using Data From Surveys and Social Networks
Final candidate for the monograph
Suat Can (University of Bremen (Germany), Social Science Methods Centre) - Presenting Author
Uwe Engel (University of Bremen (Germany), Social Science Methods Centre)
Jennifer Keck (University of Bremen (Germany), Social Science Methods Centre)

Machine Learning and Verbatim Survey Responses: Classification of Criminal Offences in the Crime Survey for England and Wales
Peter Matthews (Kantar Public) - Presenting Author
George Kyriakopoulos (Kantar Public)
Maria Holcekova (Kantar Public)

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11:30 - 13:00

Room: 40.213

Computers vs. Humans: Who's Better at Social Science?

Chair: Masahiko Aida (Civis Analytics)

Data-Inspired Life – How Data Science and AI is Pushing the Boundaries of Human Behavior
Zeeshan-ul-hassan Usmani (MiSK Foundation) - Presenting Author
Sana Rasheed (Telenor)

Can Computers Compete With Human Experience?
Gaye Banfield (Birkbeck College) - Presenting Author

Detecting and Comparing Survey Research Topics in Conference and Journal Abstracts
Alison Thaung (Booz Allen Hamilton) - Presenting Author
Stas Kolenikov (Abt Associates, Inc)

11:30 - 13:00

Room: 40.035 S. Graus

Population Estimates for Small Geographic Areas: Can We Do a Better Job?

Conducting surveys in developing countries is particularly challenging because many areas lack a complete sampling frame, have outdated census information, or have limited data available for designing and selecting a representative sample. With developments in GIS, remote sensing, and machine learning, tools have emerged to disaggregate and update the distribution of census data to support survey sampling methodology and improve population estimates. For this session, a mix of current developers and users of massive global population datasets will discuss the basis for these population estimates, scope, and limitations. We will also present tools and approaches for utilizing these geo-referenced population estimates for complex household survey sampling (i.e., Geo-sampling and GridSample). Lastly, we will discuss challenges with geographic population distributional assumptions within these areas that are operationally relevant for conducting household surveys, with approaches to help address them using deep neural network models and sample based estimates.

Chair: Safaa Amer (RTI International)

Advances in Gridded Population Distribution Databases: LandScan HD
Final candidate for the monograph
Amy Rose (Oak Ridge National Laboratory) - Presenting Author

GridSample.org: Generating Household Survey Sampling Units From Gridded Population Data
Final candidate for the monograph
Dana Thomson (WorldPop, University of Southampton, and Flowminder Foundation) - Presenting Author

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Residential Scene Classification for Geo-Sampling in Developing Countries Using Deep Convolutional Neural Networks on High-Resolution Satellite Imagery
Robert Chew (RTI International) - Presenting Author
Safaa Amer (RTI International)
Kasey Jones (RTI International)
Jennifer Unangst (RTI International)
James Cajka (RTI International)
Justine Allpress (RTI International)
Mark Bruhn (Independent Researcher)

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Household Detection Within Gridded Population Area Units: Producing Small Area Population Estimates in Geo-Sampling
Final candidate for the monograph
Safaa Amer (RTI International) - Presenting Author
James Cajka (RTI International)
Rob Chew (RTI International)
Kasey Jones (RTI International)
Jennifer Unangst (RTI International)
Justine Allpress (RTI International)

13:00 - 14:15

Room: 30.S02 S. Expo

Lunch

14:15 - 15:45

Room: 40.002

Methods to Improve Survey Representativeness Using High Dimensional Data

The explosion of "big data" in the 21st Century has led some researchers to declare the end of the traditional probability sample paradigm. We propose three talks that refute that belief, and discusses methods to leverage the strengths of high dimensional data, either from probability or nonprobability samples, with the strengths of more traditional survey data.



Chair: Michael Elliott (University of Michigan)

Calibrating Big Data for Population Inference: Applying Quasi-Randomization Approach to Naturalistic Driving Data Using Bayesian Additive Regression Trees
Michael Elliott (University of Michigan) - Presenting Author
Ali Rafei (University of Michigan)
Carol Flannagan (University of Michigan)

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Bayesian Inference for Sample Surveys in the Presence of High-Dimensional Auxiliary Information
Yutao Liu (Columbia University)
Andrew Gelman (Columbia University)
Qixuan Chen (Columbia University) - Presenting Author

How Non-Ignorable is the Selection Bias in Nonprobability Samples? An Illustration of New Measures Using a Large Genetic Study on Facebook
Brady West (University of Michigan) - Presenting Author
Phil Boonstra (University of Michigan)
Roderick Little (University of Michigan)
Jingwei Hu (University of Michigan)

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Evaluating Doubly Robust Estimation for Online Opt-In Samples With Bayesian Additive Regression Trees
Andrew Mercer (Pew Research Center/Joint Program in Survey Methodology) - Presenting Author

14:15 - 15:45

Room: 40.105

Big Data for Official Statistics I: Big Data Use is Officially a Big Deal for Government Statistics

Chair: Lars Lyberg (Inizio)

Big Data Initiatives in Official Statistics
Final candidate for the monograph
Lilli Japec (Statistics Sweden)
Lars Lyberg (Inizio) - Presenting Author

A Framework for Big Data in Official Statistics
Final candidate for the monograph
Kees Zeelenberg (Statistics Netherlands)
Sofie De Broe (Statistics Netherlands) - Presenting Author

Mining the New Oil for Official Statistics
Final candidate for the monograph
Siu-Ming Tam (Australian Bureau of Statistics) - Presenting Author

Enhancing U.S. Federal Statistics by Combining Multiple Data Sources
Brian Harris-Kojetin (National Academies of Sciences, Engineering, and Medicine) - Presenting Author
Robert Groves (Georgetown University)

14:15 - 15:45

Room: 40.109

Smart TVs, Smartphones, and now Smart Surveys: Building Smarter Surveys Using Big Data Tools

Chair: Stas Kolenikov (Abt Associates)

Augmenting Surveys: An Efficient Framework for the Storing, Querying, and Processing of Big Survey Data
Jack Kuang Tsung Chen (SurveyMonkey) - Presenting Author
Jon Cohen (SurveyMonkey)
Reuben McCreanor (SurveyMonkey)

Comparing Coding of Interviewer Question-Asking Behaviors Using Recurrent Neural Networks to Human Coders
Jerry Timbrook (University of Nebraska-Lincoln) - Presenting Author
Adam Eck (Oberlin College)

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The ODISSEI Data Platform
Final candidate for the monograph
Thomas Emery (NIDI) - Presenting Author

14:15 - 15:45

Room: 40.150

Ethical Considerations for Using Big Data II: Exploring the Relationship between Ethical Considerations, Reproducibility, and Participation

Chair: Rebecca Powell (RTI International)

Justice Rising - The Growing Ethical Importance of Big Data, Survey Data, Models, and AI
Richard Timpone (Ipsos) - Presenting Author
Charles Taber (Kansas State University)
Yongwei Yang (Google)

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Reproducibility in the Era of Big Data: Lessons for Developing Robust Data Management and Data Analysis Procedures
Final candidate for the monograph
D. Betsy McCoach (Neag School of Education, University of Connecticut) - Presenting Author
Jennifer Dineen (Department of Public Policy, University of Connecticut)
Sandra Chafouleas (Neag School of Education, University of Connecticut)
Amy Briesch (Bouvé College of Health Sciences, Northeastern University)

Big Data's Front-Ended Ethical Considerations Ignore How Results Can Stigmatize Identifiable Groups: Examining Big Wastewater Data in New Zealand
Final candidate for the monograph
Martin Tolich (University of Otago) - Presenting Author

Enriching an Ongoing Panel Survey With Mobile Phone Measures: The IAB-SMART App
Sebastian Bähr (Institute for Employment Research)
Georg-Christoph Haas (Institute for Employment Research, University of Mannheim) - Presenting Author
Florian Keusch (University of Mannheim)
Frauke Kreuter (Institute for Employment Research, University of Mannheim, University of Maryland)
Mark Trappmann (Institute for Employment Research, University of Bamberg)

Augmenting Survey Data With Big Data: Is There a Threat to Panel Retention?
Mark Trappmann (IAB, University of Bamberg) - Presenting Author
Sebastian Bähr (IAB)
Georg Haas (IAB)
Florian Keusch (University of Mannheim)
Frauke Kreuter (IAB, University of Mannheim, University of Maryland)

14:15 - 15:45

Room: 40.213

Big Data Methods, Small Survey Nonresponse?

Chair: Roeland Beerten (Statistics Flanders)

Advances in Modelling Attrition: The Added Value of Paradata and Machine Learning Algorithms
Peter Lugtig (Utrecht University) - Presenting Author
Annelies Blom (University of Mannheim)

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Preserving our Precious Respondents: Predicting and Preventing Non-Response and Panel Attrition by Analyzing and Modeling Longitudinal Survey and Paradata Using Data Science Techniques
Joris Mulder (CentERdata /Tilburg University) - Presenting Author
Natalia Kieruj (CentERdata / Tilburg University)

Using Predictive Modeling to Identify Panel Dropouts
Jan-Philipp Kolb (GESIS) - Presenting Author
Christoph Kern (University of Mannheim)
Bernd Weiß (GESIS)

Operational Challenges in Gaining and Maintaining Survey Respondents’ Cooperation to Supplement Survey Data with “Big Data” Collected Through a Custom Smartphone Application
Kristine Wiant (RTI International) - Presenting Author
Diana Greene (RTI International)
Joli Brown (RTI International)
Ellen Causey (RTI International)

14:15 - 15:45

Room: 40.035 S. Graus

Missing Data? No Big Deal Using New Big Data Methods

Chair: Paul Biemer (RTI International)

Motivated Misreporting in Crowdsourcing Tasks of Content Coding, Image Classification, and Surveys
Yuli Hsieh (RTI International)
Herschel Sanders (RTI International)
Amanda Smith (RTI International)
Stephanie Eckman (RTI International) - Presenting Author

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New Data to Correct for Nonresponse Bias: The Case of Administrative Data in Spain
Pablo Cabrera-Álvarez (University of Salamanca) - Presenting Author

Health Survey Non-Representativeness Bias Methodology and Validation
Linsay Gray (MRC/CSO Social & Public Health Sciences Unit, University of Glasgow) - Presenting Author
Megan Yates (MRC/CSO Social & Public Health Sciences Unit)
Tommi Härkänen (National Institute for Health and Welfare (THL), Helsinki)
Oarabile Molaodi (MRC/CSO Social & Public Health Sciences Unit)
Hanna Tolonen (National Institute for Health and Welfare (THL), Helsinki)
Alastair Leyland (MRC/CSO Social & Public Health Sciences Unit)
Pekka Martikainen (Department of Sociology, University of Helsinki)

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Experiences in FBI’s NCS-X NIBRS Estimation Project
Final candidate for the monograph
Dan Liao (RTI International) - Presenting Author
Marcus Berzofsky (RTI International)
Ian Thomas (RTI International)
Lance Couzens (RTI International)
Alexia Cooper (Bureau of Justice Statistics)

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15:45 - 16:00

Room: 30.S02 S. Expo

Coffee Break

16:00 - 17:30

Room: 40.105

Big Data for Official Statistics II: Administrative and Big Data Use for Survey Design and Estimation

Chair: Lilli Japec (Statistics Sweden)

Web Scraping Meets Survey Design: Combining Forces
Olav ten Bosch (Statistics Netherlands) - Presenting Author
Dick Windmeijer (Statistics Netherlands)
Arnout van Delden (Statistics Netherlands)
Guido van den Heuvel (Statistics Netherlands)

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Making Administrative Records Key to Operational Agility for the American Community Survey
Jennifer Ortman (U.S. Census Bureau) - Presenting Author
Victoria Velkoff (U.S. Census Bureau)

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Linkage of the Australian Census to Three Administrative Databases With an Application to Understanding Income Inequality in Australia
Nicholas Biddle (Australian National University) - Presenting Author
Robert Breunig (Australian National University)

Use of Alternative Data Sources at Statistics Canada: A Case Study With GPS Data
Francois Brisebois (Statistics Canada) - Presenting Author

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The Usability of Government Open Data for Social Research – Estonian Case
Laur Lilleoja (Tallinn University) - Presenting Author

16:00 - 17:30

Room: 40.109

Filing the Claim for Social Media Data: Who's Covered and Who Isn't

Chair: Jonathan Nagler (NYU, Social Media and Political Participation Lab)

Seeking the "Ground Truth": Assessing Methods Used for Demographic Inference From Twitter
Colleen McClain (University of Michigan) - Presenting Author
Zeina Mneimneh (University of Michigan)
Lisa Singh (Georgetown University)
Trivellore Raghunathan (University of Michigan)

Coverage Bias in Election Research Using Data From Social Media
Marie Kühn (GESIS Leibniz Institute for the Social Sciences) - Presenting Author
Hannah Bucher (GESIS Leibniz Institute for the Social Sciences)
Joss Roßmann (GESIS Leibniz Institute for the Social Sciences)

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Who's Tweeting About the President? What Big Survey Data Can Tell Us About Digital Traces
Josh Pasek (University of Michigan) - Presenting Author
Colleen McClain (University of Michigan)
Frank Newport (Gallup)
Stephanie Marken (Gallup)

Augmenting Public Opinion Research With Social Media Data: A Case Study of Brexit
Celeste Stone (American Institutes for Research) - Presenting Author
Claire Kelley (American Institutes for Research)
Sarah Kelley (American Institutes for Research)
Caitlin Deal (American Institutes for Research)
Luke Natzke (American Institutes for Research)

16:00 - 17:30

Room: 40.213

Exploring How Responsive Designs Respond to Machine Learning Methods

Chair: Gonzalo Rivero (Westat)

Responsive Designs in Practice
Roger Tourangeau (Westat)
Gonzalo Rivero (Westat) - Presenting Author
Brad Edwards (Westat)
Tammy Cook (Westat)

Machine Learning in Adaptive Survey Designs: A Bandit Approach
Rob Chew (RTI International) - Presenting Author
Paul Biemer (RTI International)

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Mining Interviewer Observations in a Panel Survey
Daniel Guzman (SRO/University of Michigan) - Presenting Author

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Predicting Response Mode Preferences of Survey Respondents: A Comparison Between Traditional Regression and Data Mining Methods
Mahi Megra (American Institutes for Research) - Presenting Author
Rebecca Medway (American Institutes for Research)
Michael Jackson (American Institutes for Research )
Cameron McPhee (American Institutes for Research )

16:00 - 17:30

Room: 40.248

The Fourth Paradigm: Moving From Computational Science to Data-Intensive Scientific Discovery?

Chair: Craig Hill (RTI International)

Moving Social Science Into the Fourth Paradigm: Opportunity Abounds
Final candidate for the monograph
Craig Hill (RTI International) - Presenting Author

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Doing Social Science With Big Data Sets – A Framework of Approaches
Peter Dahlin (Mälardalen University) - Presenting Author

A Paradigm Shift From Surveys to Big Data in Financial Market Research
Amos Chinomona (Rhodes University) - Presenting Author

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Addressing the Variety and Changeability of Big Data
Peter Dahlin (Mälardalen University) - Presenting Author

From Data to Big Analytics- Automated Analytic Platforms for Data Exploration
Richard Timpone (Ipsos) - Presenting Author
Yongwei Yang (Google)
Jonathan Kroening (Ipsos)

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16:00 - 17:30

Room: 40.250

Getting Aggressive about Passive Data Collection

Chair: Stephanie Eckman (RTI International)

Combining Survey and Wearable Data on Exercise and Sleep
Stephanie Eckman (RTI International) - Presenting Author
Ashley Amaya (RTI International)
Robert Furberg (RTI International)

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Using Call Detail Records to Conduct a Commuting Survey in Poland
Piotr Kaluzny (Poznan University of Economics and Business) - Presenting Author
Maciej Beresewicz (Poznan University of Economics and Business / Statistical Office in Poznan)
Agata Filipowska (Poznan University of Economics and Business)

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Capture-Recapture Techniques for Transport Survey Estimate Adjustment Using Road Sensor Data
In review process for the special issue
Jonas Klingwort (University of Duisburg-Essen) - Presenting Author
Bart Buelens (Statistics Netherlands)
Rainer Schnell (University of Duisburg-Essen)

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A New Smart Meter Research Portal
Simon Elam (University College London (UCL)) - Presenting Author

16:00 - 17:30

Room: 40.035 S. Graus

Respondents Responding Well or So I Recall… Exploring Memory, Mode, and Behaviour in Surveys

Chair: Linsay Gray (MRC/CSO Social & Public Health Sciences Unit, University of Glasgow)

Different Strokes for Different Folks: An Assessment of Mode Effects in a Student Population
Rebecca Powell (RTI International) - Presenting Author
Antje Kirchner (RTI International)
Austin Lacy (RTI International)
Johnathan Conzelmann (RTI International)

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Memory Bookmarking: Using Multimodal Real-Time Data to Facilitate Recall
H.Yanna Yan (University of Michigan)
Frederick Conrad (University of Michigan) - Presenting Author

What Are the Effects of "Forcing” Respondents to Behave in Certain Ways?
David Vannette (Qualtrics Methodology Lab) - Presenting Author
Mario Callegaro (Google)
Yongwei Yang (Google)
Steven Snell (Qualtrics)

19:00 - 21:30

Room: Maritim Restaurant

Conference Dinner at Maritim Restaurant, Moll d'Espanya, 4, 08039, +34 932 211 775