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

• Main Authors: 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
• Format: Article
• Language: English
• Published: European Survey Research Association 2019-04-01
• Series: Survey Research Methods
• Subjects: Big Data; artificial intelligence; machine learning; survey research; official statistics
• Online Access: https://ojs.ub.uni-konstanz.de/srm/article/view/7467

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.