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                     CALL FOR PAPERS:   BigSurv18
 The International Conference on Big Data Meets Survey Science       
                              October 25-27, 2018
                                Barcelona, Spain
                         https://www.bigsurv18.org/ <https://www.bigsurv18.org/>
               Submission Deadline: February 28, 2018
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Explore new statistical frontiers at the intersection of survey science and big 
data!

Friendly one week reminder: submission deadline is February 28, 2018.  
Apologies for cross-posting!

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     Aim and Scope
+++++++++++++++++

Attention Computer Scientists, Data Scientists, and Survey Scientists,

The first international conference on Big Data Meets Survey Science (BigSurv18) 
is currently accepting abstracts for presentation at the conference on the 
theme “Exploring New Statistical Frontiers at the Intersection of Survey 
Science and Big Data.”  

BigSurv18 will be held October 25–27, 2018, at the Research and Expertise 
Centre for Survey Methodology at the Universitat Pompeu Fabra in Barcelona, 
Spain. The conference offers an opportunity to address the ongoing paradigm 
shift in how researchers produce, analyze, and use statistics. The event, 
hosted by the European Survey Research Association (ESRA), is intended to 
foster communication, collaboration, and understanding between two groups: (1) 
computer and data scientists focusing on emerging Big Data sources and analysis 
techniques and (2) methodologists and researchers working on traditional 
sources of data collection and statistical analyses, By combining efforts, we 
can identify and overcome academic divides and make unified survey and “Big 
Survey Data” population inference a reality. 

We invite presenters from the various disciplines and around the world to 
submit an abstract for presentation at the conference. In addition, to 
accommodate differences in publication objectives and cultures across the 
disciplines, papers will be eligible for consideration in one of two 
publication outlets:  

A. A peer-reviewed special issue of Social Science Computer Review shortly 
following the conference.
B. An edited conference volume to be published by John Wiley & Sons in 2019.

In your submission, please indicate (1) if you would like your paper to be 
considered for publication and (2) state your preferred publication outlet. We 
will do our best to accommodate your request. When we notify you about whether 
your abstract was accepted, we will also let you know if you are under further 
consideration for one of these two publication venues.

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     Topics of Interest
++++++++++++++++++

To be considered for the conference, presentations and papers should be broad 
and forward-looking; they may be original research or syntheses of the state of 
the art. The following are examples of topics that are of particular interest:

- Using Big Data sources—such as data from social networks, traditional 
business systems, and the Internet of Things—in statistics production
- Measuring new phenomena in society using Big Data
- Discussing methods for combining Big Data with traditional data sources
- Using data mining and machine learning methods to develop and understand 
population statistics
- Methods within machine learning for modelling human behaviors
- Assessing new data processing and analytical tools for Big Data
- Implementing data visualization methods for Big Data
- Designing of interfaces, virtual agents, and computational systems for 
interactive data collection
- Distributed infrastructures of data collection
- “Total Statistical Uncertainty” frameworks for estimates derived from 
nonprobability datasets
- Defining and describing data quality in a Big Data environment
- Discussing methods to deal with threats to representativeness, including 
methods for mitigating coverage issues
- Methods for dealing with variable specification inconsistencies across 
datasets
- Methods for repairing or mitigating missing data and data sparseness
- Addressing issues in population modelling and inference
- Inferential paradigms in Big Data applications
- Using Big Data in various ways for sampling frame development and other 
sampling applications
- Exploratory data analysis with Big Data
- Incorporating Big Data in a Bayesian framework
- Methods for
--- selecting relevant data streams;
--- ensuring reproducibility, traceability, and provenance;
--- using Big Data to reduce, control, and evaluate total survey error; and
--- evaluating quality in Big Data applications.
- Handling confidentiality and privacy
- Addressing legal and proprietary issues, as well as ethical concerns and the 
concept of harm

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     Submissions
++++++++++++++++

Please submit your abstract (500 words or fewer) to 
https://www.bigsurv18.org/conference <https://www.bigsurv18.org/conference> by 
February 28, 2018. Your submission should include the title of the paper, all 
co-authors and their affiliations, and e-mail address of the lead author. In 
addition, please remember to indicate your publication preference. The author 
of each accepted paper will present it at the conference. Presenters accepted 
for the edited conference volume must submit a complete version of the paper by 
the end of 2018. Presenters accepted for consideration in the special issue 
must submit a complete version of the paper for peer-review by the end of July 
2018. A formal paper will not be required of presenters who do not wish to 
publish in either outlet.

Current graduate students or recent graduates (2017 or 2018 only) are 
encouraged to apply for the student paper award. The authors of the two winning 
papers receive a Euro 150  award and a travel stipend of Euro 1,400 if 
traveling from outside of Europe and Euro 800 if traveling from within Europe. 
For details please visit https://www.bigsurv18.org/abstracts 
<https://www.bigsurv18.org/abstracts> 

We also are interested in supporting early career scholars (graduate students 
or graduation date in 2017 or 2018) from all parts of the world and have 
established a travel award fund for this purpose. These travel awards include a 
travel stipend of Euro 1,400 if traveling from outside of Europe and Euro 800 
if traveling from within Europe. Early career scholars from underrepresented 
regions are especially encouraged to apply. For details, please visit 
https://www.bigsurv18.org/abstracts <https://www.bigsurv18.org/abstracts> 

Questions about BigSurv18 can be directed to Antje Kirchner (akirch...@rti.org 
<mailto:akirch...@rti.org>) or Craig Hill (ch...@rti.org 
<mailto:ch...@rti.org>).

Conference Scientific Committee
Dr. Craig Hill (Chair, editorial committee): Senior Vice President, Survey, 
Computing, and Statistical Sciences, RTI International, USA 
Dr. Antje Kirchner (Chair, organizing committee): Research Survey 
Methodologist, RTI International; Adjunct Research Assistant Professor, 
University of Nebraska—Lincoln, USA 
Dr. Paul Biemer: Distinguished Fellow, RTI International; Associate Director 
for Survey Research, Odum Institute for Research in Social Science, University 
of North Carolina at Chapel Hill, USA 
Dr. Trent Buskirk: Director, Center for Survey Research, and Professor, 
Department of Management Science and Information Systems, University of 
Massachusetts Boston, USA 
Dr. Mario Callegaro: Senior Survey Research Scientist, Ads, Payment and User 
eXperience (APUX), Google London, UK
Dr. Ana Lucía Córdova Cazar: Assistant Professor, Political Science and 
International Relations, Universidad San Francisco de Quito, Ecuador; Adjunct 
Research Assistant Professor, University of Nebraska—Lincoln, USA 
Dr. Adam Eck: Assistant Professor, Computer Science, Oberlin College, USA 
Dr. Lilli Japec: Senior Scientific Advisor, Statistics Sweden, Sweden Dr. Stas 
Kolenikov: Senior Scientist, Abt Associates, USA Dr. Lars Lyberg: Inizio, 
Sweden 
Dr. Patrick Sturgis: Professor of Research Methodology, Department of Social 
Statistics and Demography, and Director of National Centre for Research 
Methods, University of Southampton, UK
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