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

  • Craig A. Hill*
  • , Paul Biemer
  • , Trent Buskirk
  • , Mario Callegaro
  • , Ana Lucía Córdova Cazar
  • , Adam Eck
  • , Lilli Japec
  • , Antje Kirchner
  • , Stas Kolenikov
  • , Lars Lyberg
  • , Patrick Sturgis
  • *Corresponding author for this work
  • RTI International
  • Bowling Green State University
  • Alphabet Inc.
  • Oberlin College
  • Statistics Sweden
  • Abt Associates, Inc.
  • Inizio
  • National Centre for Research Methods

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish
Pages (from-to)123-134
Number of pages12
JournalSurvey Research Methods
Volume13
Issue number1
DOIs
StatePublished - 2019

Keywords

  • Artificial intelligence
  • Big Data
  • Machine learning
  • Official statistics
  • Survey research

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