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

  • Craig A. Hill RTI International
  • Paul Biemer RTI International, USA
  • Trent Buskirk Bowling Green State University
  • Mario Callegaro Google London
  • Ana Lucía Córdova Cazar Universidad San Francisco de Quito
  • Adam Eck Oberlin College
  • Lilli Japec Statistics Sweden
  • Antje Kirchner RTI International, USA
  • Stas Kolenikov Abt Associates
  • Lars Lyberg Inizio
  • Patrick Sturgis National Centre for Research Methods, University of Southampton
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
Published
2019-04-11
How to Cite
Hill, C. A., Biemer, P., Buskirk, T., Callegaro, M., Córdova Cazar, A. L., Eck, A., Japec, L., Kirchner, A., Kolenikov, S., Lyberg, L., & Sturgis, P. (2019). Exploring New Statistical Frontiers at the Intersection of Survey Science and Big Data: Convergence at “BigSurv18”. Survey Research Methods, 13(1), 123-135. https://doi.org/10.18148/srm/2019.v1i1.7467
Section
Articles