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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/>
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Explore new statistical frontiers at the intersection of survey science and big
data!
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Aim and Scope
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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
disciplinespapers will be eligible for consideration in one of two publication
outlets:
A. An edited conference volume to be published by John Wiley & Sons in 2019.
B. A special issue of a peer-reviewed computer science-oriented journal to be
published immediately following the conference (journal still to be decided).
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
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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
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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. 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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