Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18”

Authors

  • Craig A. Hill RTI International image/svg+xml
  • Paul Biemer RTI International, USA
  • Trent Buskirk Bowling Green State University image/svg+xml
  • Mario Callegaro Google London
  • Ana Lucía Córdova Cazar Universidad San Francisco de Quito image/svg+xml
  • Adam Eck Oberlin College image/svg+xml
  • Lilli Japec Statistics Sweden image/svg+xml
  • Antje Kirchner RTI International, USA
  • Stas Kolenikov Abt Associates
  • Lars Lyberg Inizio
  • Patrick Sturgis National Centre for Research Methods, University of Southampton

DOI:

https://doi.org/10.18148/srm/2019.v1i1.7467

Keywords:

Big Data, artificial intelligence, machine learning, survey research, official statistics

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.

Author Biography

  • Craig A. Hill, RTI International
    Senior Vice President Survey, Computing, and Statistical Sciences

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Published

2019-04-11

Issue

Section

Articles

How to Cite

Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18”. (2019). Survey Research Methods, 13(1), 123-135. https://doi.org/10.18148/srm/2019.v1i1.7467

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