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BigSurv18 Program


Wednesday 24th October Thursday 25th October Friday 26th October Saturday 27th October

Program at a glance    Floor plans

Download the BigSurv18 App





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)

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))

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)

09:45 - 11:15

Room: 40.105

Leveraging Big Data for Improving Health Research… the Initial Visit

Chair: Charlie Knott (RTI International)

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)

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)

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)

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)

11:30 - 13:00

Room: 40.109

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

Chair: Annette Jäckle (University of Essex)

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)

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)

11:30 - 13:00

Room: 40.213

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

Chair: Masahiko Aida (Civis Analytics)

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)

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)

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)

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)

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)

14:15 - 15:45

Room: 40.213

Big Data Methods, Small Survey Nonresponse?

Chair: Roeland Beerten (Statistics Flanders)

14:15 - 15:45

Room: 40.035 S. Graus

Missing Data? No Big Deal Using New Big Data Methods

Chair: Paul Biemer (RTI International)

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)

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)

16:00 - 17:30

Room: 40.213

Exploring How Responsive Designs Respond to Machine Learning Methods

Chair: Gonzalo Rivero (Westat)

16:00 - 17:30

Room: 40.248

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

Chair: Craig Hill (RTI International)

16:00 - 17:30

Room: 40.250

Getting Aggressive about Passive Data Collection

Chair: Stephanie Eckman (RTI International)

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)

19:00 - 21:30

Room: Maritim Restaurant

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