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Exploring new statistical frontiers at the intersection of survey science and big data: Convergence at “BigSurv18”

Exploring new statistical frontiers at the intersection of survey science and big data: Convergence at “BigSurv18”
Exploring new statistical frontiers at the intersection of survey science and big data: Convergence at “BigSurv18”

Held in October 2018, The Big Data Meets Survey Science conference, also known as “BigSurv18,” provided a first-of-its-kind opportunity for survey researchers, statisticians, computer scientists, and data scientists to convene under the same roof. At this conference, scientists from multiple disciplines were able to exchange ideas about their work might influence and enhance the work of others. This was a landmark event, especially for survey researchers and statisticians, whose industry has been buffeted of late by falling response rates and rising costs at the same time as a proliferation of new tools and techniques, coupled with increasing availability of data, has resulted in “Big Data” approaches to describing and modelling human behavior.

Artificial intelligence, Big Data, Machine learning, Official statistics, Survey research
123-134
Hill, Craig A.
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Biemer, Paul
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Buskirk, Trent
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Callegaro, Mario
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Cazar, Ana Lucía Córdova
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Eck, Adam
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Japec, Lilli
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Kirchner, Antje
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Kolenikov, Stas
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Lyberg, Lars
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Sturgis, Patrick
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Hill, Craig A.
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Biemer, Paul
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Buskirk, Trent
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Callegaro, Mario
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Cazar, Ana Lucía Córdova
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Eck, Adam
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Japec, Lilli
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Kirchner, Antje
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Kolenikov, Stas
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Lyberg, Lars
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Sturgis, Patrick
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Hill, Craig A., Biemer, Paul, Buskirk, Trent, Callegaro, Mario, Cazar, Ana Lucía Córdova, Eck, Adam, Japec, Lilli, Kirchner, Antje, Kolenikov, Stas, Lyberg, Lars and Sturgis, Patrick (2019) Exploring new statistical frontiers at the intersection of survey science and big data: Convergence at “BigSurv18”. Survey Research Methods, 13 (1), 123-134. (doi:10.18148/srm/2019.v1i1.7467).

Record type: Article

Abstract

Held in October 2018, The Big Data Meets Survey Science conference, also known as “BigSurv18,” provided a first-of-its-kind opportunity for survey researchers, statisticians, computer scientists, and data scientists to convene under the same roof. At this conference, scientists from multiple disciplines were able to exchange ideas about their work might influence and enhance the work of others. This was a landmark event, especially for survey researchers and statisticians, whose industry has been buffeted of late by falling response rates and rising costs at the same time as a proliferation of new tools and techniques, coupled with increasing availability of data, has resulted in “Big Data” approaches to describing and modelling human behavior.

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Accepted/In Press date: 1 January 2019
e-pub ahead of print date: 11 April 2019
Published date: 11 April 2019
Keywords: Artificial intelligence, Big Data, Machine learning, Official statistics, Survey research

Identifiers

Local EPrints ID: 431874
URI: http://eprints.soton.ac.uk/id/eprint/431874
PURE UUID: a70cbc8a-702e-4491-91f4-4150294b468b
ORCID for Patrick Sturgis: ORCID iD orcid.org/0000-0003-1180-3493

Catalogue record

Date deposited: 20 Jun 2019 16:30
Last modified: 17 Mar 2024 12:29

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Contributors

Author: Craig A. Hill
Author: Paul Biemer
Author: Trent Buskirk
Author: Mario Callegaro
Author: Ana Lucía Córdova Cazar
Author: Adam Eck
Author: Lilli Japec
Author: Antje Kirchner
Author: Stas Kolenikov
Author: Lars Lyberg
Author: Patrick Sturgis ORCID iD

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